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Comparison of Dexis CariVu And Bitewing Radiography In Detecting Interproximal Caries In Permanent Teeth BY Ann Mast B.S., B.A., University of North Carolina, Chapel Hill, NC, 2010 D.D.S., University of North Carolina, Chapel Hill, NC, 2014 THESIS Submitted as partial fulfillment of the requirements for the degree of Master of Science in Oral Sciences in the Graduate College of the University of Illinois at Chicago, 2019 Chicago, Illinois Defense Committee Dr. Sahar Alrayyes, DDS, MS, Department of Pediatric Dentistry, Chair and Advisor Dr. Satish Alapati, BDS, MS, PhD, Department of Endodontics Dr. Evelina Kratunova, MDS, MFD, D.Ch.Dent, FFD, Department of Pediatric Dentistry
Transcript

Comparison of Dexis CariVu And Bitewing Radiography In Detecting Interproximal

Caries In Permanent Teeth

BY

Ann Mast B.S., B.A., University of North Carolina, Chapel Hill, NC, 2010

D.D.S., University of North Carolina, Chapel Hill, NC, 2014

THESIS

Submitted as partial fulfillment of the requirements for the degree of Master of Science in Oral Sciences

in the Graduate College of the University of Illinois at Chicago, 2019

Chicago, Illinois

Defense Committee

Dr. Sahar Alrayyes, DDS, MS, Department of Pediatric Dentistry, Chair and Advisor Dr. Satish Alapati, BDS, MS, PhD, Department of Endodontics Dr. Evelina Kratunova, MDS, MFD, D.Ch.Dent, FFD, Department of Pediatric Dentistry

ii

ACKNOWLEDGEMENTS

I would like to thank my primary mentor, Dr. Alrayyes for her tireless effort and dedication

in making this project possible. She was there through all the roadblocks including complete

change of research project topic, obtaining new IRB approval, and seeing this project through to

completion. There were many sleepless nights where Dr. Alrayyes spent working on editing

proposals, protocols, and reviewing images and editing my drafts so that this project could be

completed on time and deadlines could be met. I also want to thank Dr. Alrayyes for her support

and faith in me to complete this project. I also would like to thank Dr. Alapati for his

encouragement and keeping me motivated throughout this entire process. His expertise was a great

contribution to the design of this study. I would like to thank Dr. Kratunova for her optimism and

positivity as well as her contribution as an expert on this project and providing valuable feedback.

Thank you Dr. Koerber for your help on the data analysis and helping me make sense of my data.

I would like to thank my mom and my sister Bonni for their emotional support throughout

this entire process. Thank you for always putting things into perspective and makes me feel like

that no matter what, things will always work out. Lastly, I would like to thank Charlie always

being there by my side through this whole process.

AMM

iii

TABLE OF CONTENTS

iv

TABLE OF CONTENTS (continued)

v

LIST OF TABLES

TABLE PAGE

I. PHYSICAL PRINCIPLES USED IN CARIES DETECTION METHODS…..

07

II DEFINING SENSITIVITY AND SPECIFICITY……………………………..

20

III. ACCURACY OF IMAGE SCORING FOR NO CARIES..………………..….

29

IV. ACCURACY OF IMAGE SCORING FOR INCIPIENT CARIES ……..........

29

V. ACCURACY OF IMAGE SCORING FOR CARIES REACHING DEJ……..

30

VI SENSITIVITY AND SPECIFICITY OF BITEWING RADIOGRAPHS COMPARED TO CARIVUTM IMAGES, GROUPED AS NO CARIES VERSUS ANY CARIES…………....……………………...………………….

31

VII. SENSITIVITY AND SPECIFICITY OF BITEWING RADIOGRAPHS COMPARED TO CARIVUTM IMAGES, GROUPED AS CARIES REACHING DEJ VS OTHER CATEGORIES..……………………………...

32

VIII. DISTRIBUTION OF SCORES CORRECT BY RATER STATUS………….. 37

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LIST OF FIGURES

FIGURE PAGE

1. Caries risk assessment form for 0-5 year olds for dental providers……….. 4

2. Caries risk assessment form for 6 year olds and beyond for dental providers…………………………………………………………………… 5

3. AAPD guideline on caries-risk assessment and management for infants, children, and adolescents …………………………...………………...… 6

4. Depth of carious lesions and their detection …………...…………………..

7

5. Classification of common caries detection methods ………………..….… 8

6. DEXIS CariVuTM handheld caries detection device ……………………..

16

7. Tip of DEXIS CariVuTM device …………...……………………….……

17

8. A depiction of a CariVuTM image alongside a traditional bitewing image of the same tooth surfaces………………………………….…………..….

18

9. Depiction of the 24 interproximal tooth surfaces that can be generated from one mixed-dentition or permanent-dentition patient ………...……….

22

10. Scoring system implemented for the purposes of the study.…..…………...

23

11. Accuracy of image scoring for bitewings and CariVuTM base on percent correct ……………………………………………………………………...

30

12. Images scored as “no caries” by expert committee; distribution of ratings………………………………………………………………………

34

13. Images scored as “incipient caries” by expert committee; distribution of

ratings………………………………………………………………………

35

14. Images scored as “dentinal caries” by expert committee; distribution of ratings………………………………………………………………………

36

vii

LIST OF ABBREVIATIONS

ALARA As Low As Reasonably Achievable

CCD Charge Coupled Devices

DEJ Dentin-Enamel Junction

DiFOTI Digital Image Fiber Optic Trans Illumination

DR Digital Radiography

ECM Electronic Caries Monitor

EOS Electro-Optical Sciences

FOTI Fiber Optic Trans Illumination

NPV Negative Predictive Value

PI Primary Investigator

PPV Positive Predictive Value

QLF Quantitative Light-induced Fluorescence

UIC University of Illinois at Chicago

viii

SUMMARY

An in-vivo study was conducted to determine the accuracy and validity of DEXIS

CariVuTM device in the detection of non-cavitated interproximal lesions on young permanent teeth.

Bitewing radiographs and CariVuTM images of interproximal surfaces were obtained from patients

with either mixed or full permanent dentition at the University of Illinois (UIC) Department of

Pediatric Dentistry. An expert committee agreed upon 90 image pairs of the same tooth surfaces

and rated them as no caries, incipient caries, and caries reaching the Dentin-Enamel Junction

(DEJ). Twenty-six residents and faculty of UIC Pediatric Dentistry Department completed

questionnaires to assess the depth of caries lesions based on a set of randomized CariVuTM and

bitewing images.

The bitewing radiograph showed higher accuracy in the rating of no caries and incipient

caries, while the CariVuTM was more accurate in the rating of caries reaching the DEJ. CariVuTM

is equally as sensitive in detecting if there is any caries as bitewing radiograph and is more sensitive

in the detection of caries reaching the DEJ. However, the CariVuTM produces more false positives

for both any caries and caries reaching the DEJ than bitewing radiographs. There is no significant

difference between the different status of the raters (1st year residents, 2nd year residents, 3rd year

residents, and faculty). There is difference in the rater validity between the CariVuTM and bitewing

radiograph, with the bitewing being more valid than the CariVuTM.

This study shows that the DEXIS CariVuTM is an inferior device in the detection of no

caries and incipient caries in that it leads to over-diagnosis of the severity of the caries lesions.

However, the DEXIS CariVuTM can be used as an adjunct in the monitoring of caries progression

due to lack of radiation and to be used for high caries risk patients.

1

I. INTRODUCTION

1.1 Background

Dental caries is a disease caused by the acid byproduct from bacteria metabolizing

sugar on the tooth enamel. The current methods of caries detection include visual, tactile,

radiographs, visible light, laser light, electrical current, and ultrasound. The gold standard for

detection of interproximal caries is bitewing radiograph. However, there are detrimental effects of

radiation from radiographs on the human body, and therefore the principle of As Low as

Reasonably Achievable (ALARA) should followed. In pediatric dentistry, cooperation of the

patient is often a limiting factor in obtaining clinically acceptable radiographs resulting in repeated

exposure to radiation due to failed attempts. The treatment approach to incipient caries varies based

on the caries risk of the patient. AAPD guideline recommends the surveillance of incipient caries

in patients with low to moderate caries risk and definitive restoration for those with high caries

risk. Therefore, diagnosis of incipient caries is critical.

More recently, DEXIS CariVuTM has been introduced as an adjunct tool in confirming

diagnosis of interproximal caries. DEXIS CariVuTM is a hand-held device that utilizes Digital

Imaging Fibro-Optic Trans-Illumination (DiFOTI) technology for caries detection. Several studies

have supported the use of DiFOTI devices as an alternative or adjunct to traditional bitewing

radiograph in the detection of interproximal lesion; however, there is limited literature that

specifically examines the DEXIS CariVuTM in the diagnosis of incipient caries that is confined to

the enamel and just reaching the DEJ. More studies will need to be completed to close this gap in

the knowledge to determine if DEXIS CariVuTM is a valid and accurate method for non-cavitated

interproximal caries diagnosis.

2

1.2 Purpose of the Study

The purpose of this study is to evaluate the accuracy of the DEXIS CariVuTM device in

the diagnosis of interproximal caries lesions in comparison to the standard bitewing radiograph.

Existing intra-oral bitewing radiographs and DEXIS CariVuTM images of the same interproximal

tooth surface were selected and rated for the presence or absence of carious lesions as well as the

depth the depth of the carious lesion when present. The ratings of the same tooth surface obtained

from the bitewing radiograph and CariVuTM were compared. The sensitivity and specificity of the

DEXIS CariVuTM method in diagnosing interproximal dental caries. A survey questionnaire with

randomized DEXIS CariVuTM and bitewing radiograph images of the same tooth surfaces were

evaluated by members of the Pediatric Dentistry Department which included residents and faculty

to establish the accuracy of the DEXIS CariVuTM as a method of interproximal caries diagnosis.

Objectives:

1. To evaluate the sensitivity and specificity of DEXIS CariVuTM device as a method

of interproximal caries detection compared to standard bite-wing radiography.

2. To evaluate the accuracy of the DEXIS CariVuTM device in diagnosing

interproximal dental caries.

1.3 Hypotheses

1. There is no difference in the sensitivity and specificity of the DEXIS CariVu™

device in detecting interproximal caries as the standard bitewing radiography.

2. There is no difference in the accuracy of the DEXIS CariVu™ device in detecting

interproximal caries as the standard bitewing radiography

3

II. REVIEW OF THE LITERATURE

2.1 Dental Caries

A tooth is comprised of three layers: enamel, dentin, and the pulp. Dental caries is a disease

process where the mineral in dentin and enamel are dissolved by the acid produced from bacterial

metabolism. It is a dynamic and continuous process resulting from many cycles of

demineralization and remineralization. The pathological factors that contributes to the

demineralization of the tooth structure and the advancement of the process include acid producing

biofilm, exposure to fermentable carbohydrates, and decreased saliva flow and function. Protective

factors in the prevention of dental caries are adequate salivary flow and its components, calcium

and phosphate ions, and antibacterial agents (Featherstone, 2008).

The most commonly observed sign of dental caries disease is the caries lesion, where the

there is a net loss of mineral over time. Caries lesions can be defined as cavitated or non-cavitated.

Non-cavitated lesions refers to the demineralization of the tooth surface before the macroscopic

breakdown in tooth structure. This may present as a change in the color, gloss, or the surface tooth

structure. Cavitated lesions denotes a loss of surface integrity, which may frequently refer to the

total loss enamel and exposure of the underlying dentin (Young et al., 2015).

Dental caries is the most common childhood infectious disease. According to National

Health and Nutrition Examination Survey (2011-2012), 23% of children ages 2 to 5 had caries in

primary teeth, 14% of children between ages of 2 to 8 had untreated caries in their primary teeth,

5.8% of children between ages of 6 to 11 had untreated caries in their permanent teeth, and 15.3%

of adolescents aged between 12 to 19 had untreated caries in their permanent teeth (Dye et al.,

2015). The short-term consequences of untreated childhood caries include pain, infection, poor

appetite, disturbed sleep and emergency visits and possibly hospitalizations. Long term

4

consequences include poor oral health continuing into the adulthood, potential to affect speech,

nutrition and quality of life (Colak et al., 2013). In the study by Gift, “more than 51 million hours

of school were missed annually by school-age children as a result to visit to dentist and or an oral

problem” (Gift et al., 1992). This shows the importance of maintaining good oral health in children

and it can be achieved through accurate diagnosis and early intervention.

According to the Updated 2014 AAPD Guideline on Caries-risk Assessment and

Management for Infants, Children, and Adolescents, “caries risk assessment is the determination

of the likelihood of the incidence of caries during a certain time period, or the likelihood that there

will be a change in the size or activity of lesions present.” Caries risk assessment is a tool that

provides clinician with guidance to the clinical approach. The caries risk assessment involves

many factors including “diet, fluoride exposure, a susceptible host, and microflora that interplays

with a variety of social, cultural, and behavioral factors.” The guideline categorizes the caries risk

as low, moderate and high. The guideline further divides the assessment according to the age

groups of 0-5-year old and 6 years and older (Figures 13 and 14) (AADP 2015).

Figure 1. Caries risk assessment form for 0-5 year olds for dental providers (AAPD 2014)

5

Figure 2. Caries risk assessment form for 6 year olds and beyond for dental providers (AAPD 2014)

While cavitation in the tooth structure extending to the dentin and pulp is easy to identify

and in clear need of restorative intervention, smaller demineralization that has not resulted in

cavitation, also known as incipient caries, is often difficult to diagnose, and its management may

vary. Incipient caries may still be re-mineralized through the body’s natural repair process

especially with the implementation of additional protective factors such as increase in fluoride

exposure, reduction in plaque accumulation through adequate oral hygiene and dietary

modification. The treatment decision must take into consideration the depth of the lesion and the

patient’s caries risk. For patients 6 years and older, AAPD treatment recommendation for low

caries risk is surveillance, for moderate caries risk is surveillance of incipient lesions and

restoration of cavitated or enlarging lesions. However, for high caries risk patients, the AAPD

guideline recommends the restoration of the incipient, cavitated and enlarging lesions (Figure 6)

(AAPD 2015). Therefore, it is very important to be able to identify accurately of such incipient

lesions in order to implement the most suitable intervention strategies as early as detected and to

make the soundest clinical judgement in terms of management.

6

Figure 3. AAPD guideline on caries-risk assessment and management for infants, children, and adolescents, latest revision 2014, table 6

2.2 Caries Detection Methods

Early caries diagnosis is important because it may reduce the need for restorative treatment

through the implantation of preventative measures that promotes remineralization. As evident in

the Figure 1, for the subclinical initial lesions that are in a dynamic state of progression/regression,

new diagnostic tools are needed to aid in the detection of such lesions.

7

Fig. 4 Depth of carious lesions and their detection (modified from Pitts, 2001)

The current methods of caries detection include visual, tactile, radiographs, visible light,

laser light, electrical current, and ultrasound. Caries detection methods rely on a specific physical

principle (summarized in Table I and Figure 2).

TABLE I PHYSICAL PRINCIPLES USED IN CARIES DETECTION METHODSa

Physical principle Method of detection

Visual Examiner sight, dry tooth Tactile Probe

Radiographs Digital substraction radiography Digital image enhancement

Visible light Fiber-optic trans illumination (FOTI) Digital image fiber-optic trans illumination (DiFOTI)

Quantitative light induced fluorescence (QLF) Laser light Laser fluorescence measurement (DIAGNODent)

Electrical current Electrical conductance measurement Electrical impedance measurement

Ultrasound Ultrasonic caries detector a Modified from Pretty et al., 2006

8

Figure 5. Classification of common caries detection methods

2.2.1 Visual Detection

Visual detection is a method of caries diagnosis that is used daily by clinicians. It is based

on the visual changes of the tooth structure as demineralization and cavitation occurs. As

demineralization occurs, the enamel crystal structure becomes disrupted and the enamel becomes

more porous. This causes a difference is light reflection resulting in an opaque appearance of the

demineralized enamel. This change in color is an important part of visual detection of caries.

CARIES DETECTION TOOLS

SIMPLE VISUAL

DRY TOOTH

SEPARATOR

TACTILE PROBE

RADIOGRAPHS

DIGITAL IMAGE ENHANCEMENT

DIGITAL SUBTRACTION RADIOGRAPHY

ELECTRICAL CURRENT

ELECTRICAL CONDUCTION MEASURMENT

ELECTRICAL IMPEDENCE

FLUORSECENCE

VISUAL :QLF

LASER: DIAGNODENT

ENHANCED VISUAL

TECHNIQUES

FOTI

DiFOTI

9

Transition from sound enamel to opacity without air drying can indicate the initiation of caries,

the transition from opacity after air drying to opacity without air drying can indicate progression

of caries, and transition from opacity to transparency can indicate caries arrest (Ekstrand, 2004).

Therefore, the use of air is an important part of visual caries detection along with a well cleaned

tooth surface that is free of plaque. However, there are limitations to visual detection due to the

subjectivity of the clinicians. An attempt was made in 2002 to standardize the caries detection by

the creation of the International and Caries Detection Assessment System (Braga et al., 2010).

In the systemic review by Bader et al, a total of 20 studies was included for the occlusal

surfaces including cavitated, dentinal, enamel, or any, and one study was included for cavitated

proximal surfaces. Visual detection for the occlusal surface has a mean sensitivity 0.63, 0.37, 0.66,

0.59, a mean specificity of 0.89, 0.91, 0.69, and 0.74 for cavitated, dentinal, enamel, and any

respectively. For the cavitated caries lesion in the proximal surface, it has a mean sensitivity of

0.94 and a mean sensitivity of 0.92. This shows that visual detection is reliable in the detection of

proximal caries with cavitation, however, there is no data on the sensitivity and specificity of visual

detection for proximal caries that is confined to the enamel and within the DEJ (Bader et al.,

2001a).

2.2.2 Tactile Detection

Tactile detection of caries is the use of sharp dental explorers to probe suspected caries

lesion and evaluate between healthy tooth structure and demineralized cavitation which would

present as a “sticky” to tactile sensation. The use of tactile as a method of caries detection has been

controversial. It has been taught in dental schools and well documented in operative dentistry

textbooks. However, there are studies that suggest that the use of sharp explorer could cause

10

artificial cavitation from trauma of the explore, transfer of bacteria from caries lesions to sound

tooth structure, and it is subjective to interpretation of the practitioner (Hamilton et al., 2005). A

study examined the effect of dental probing on the occlusal surface showed that dental probing

created surface defects, enlargements, and break-offs of occlusal pit and fissures (Kühnisch et al.,

2007). In the systemic review by Bader et al, 9 studies were identified, and a specificity of 0.94-

0.99 and sensitivity of 0.19-0.32 were found for the use of tactile detections in caries diagnosis.

This shows that even though that the explorer may be effective in detection of caries, however,

often it could lead to over diagnosis of caries which results in over-treatment (Bader et al., 2001b).

2.2.3 Radiographic Detection

Radiographs are often considered as the gold standard in caries detection. Clinicians often

uses a combination of visual, tactile, and radiographs as the routine method in caries diagnosis.

When using radiographic detection, the principle of ALARA should be followed. There are two

main types of radiographs, conventional and digital. There are four film speeds used for

conventional radiographs, D-speed, E-speed, F-speed, with the faster film speed being able to

reduce up to 50% in radiation exposure to the patient. Therefore, no speed lower than E-speed

should be used for dental radiographs. In recent years, digital radiography has gain popularity

amongst clinicians. There are many advantages to digital radiography which includes the

elimination for the need of a dark room, the reduction in radiation exposure, efficiency of image

capturing and digital storage, and ease of electronic transmission of the image. Different types of

digital radiography include complementary metal-oxide semiconductor active pixel sensors,

photostimulable storage phosphor sensors, and solid-state electronic sensor (The American Dental

Association, 2006).

11

Pitts stated that clinical examination alone can detect just over 50% of the interproximal

lesions in comparison to radiographic examination which can identify over 90% of the

interproximal decay (Pitts, 1996). This shows that clinical exam alone is often inadequate for the

diagnosis of interproximal caries that are non-cavitated and have not extended to the occlusal,

facial or lingual surfaces. Radiograph has a sensitivity range of 0.39-0.53 and specificity of 0.76-

0.91 for occlusal surface caries, and a sensitivity range of 0.38-0.66, a specificity range of 0.78-

0.95 for proximal surface caries. The detection of enamel caries has a sensitivity range of 0.3-0.41

and specificity of 0.76-0.78, and the detection of dentinal caries has a sensitivity range of 0.38-

0.41 and specificity of 0.83-0.95. This shows that the radiographic detection is poor for caries that

is only confined in the enamel, and that the specificity is much higher in value than sensitivity

which indicates that it tends to produce more false positive results (Bader, 2001c).

In the systemic review by Gomez et al, for radiographic detection of caries, they found a

sensitivity range of 0.12-0.84 and specificity range of 0.55-0.99 for sound versus non-cavitated

and cavitated lesions, and a sensitivity range of 0.14-0.38 and specificity range of 0.59-0.98 for

sound versus non-cavitated lesions (Gomez et al., 2013a). This again shows that radiographic

detection of caries confined to the DEJ is limited. In the systemic review by Schwendicke et al,

they found an overall sensitivity for any kind of occlusion caries to be 0.35 with a specificity of

0.78. For the detection of any kind of proximal lesion, the sensitivity was 0.24 with a specificity

of 0.97. For dentinal lesions, the sensitivity was 0.36 for proximal caries and 0.56 for occlusal

lesions, and the specificity ranged between 0.87-0.95. It was concluded that radiographic detection

is accurate for proximal and dentinal lesions, and incipient lesions would require a test with a more

sensitivity (Schwendicke et al., 2015a).

12

2.2.4 Fiber Optic Transillumination

The Fiber Optic Transillumination (FOTI) equipment is a handpiece with an intense white

beam of light that is used to shine through the tooth. The system can be used to visualize all

surfaces of the tooth. FOTI relies on the principle of light scattering through the tooth structure.

Sound enamel is comprised of densely packed modified hydroxyapatite crystals and appears

transparent. When demineralization of the tooth structure occurs, the crystal structure is disrupted,

and light is scattered differently producing a darker appearance as compared to sound tooth

structure (Abogazalah and Ando, 2017). However, the system lacks continuous data output and it

is impossible to record what is seen visually by the clinician. This complicates the use of the system

and is subject to the interpretation of the user (Pretty, 2006a).

In the systemic review by Bader et al, the mean sensitivity of FOTI is 0.14-0.21 for occlusal

surfaces and 0.04 for proximal cavitated lesions, and the mean specificity is 0.88-0.95 for occlusal

surfaces and 1.00 for cavitated proximal lesions. (Bader et al., 2001c) In a more recent systemic

review on the detection of non-cavitated carious lesions, 6 studies were included, and the

sensitivity ranged from 0.21-0.96 and specificity ranged from 0.74-0.88, with a strength of

evidence rating as poor (Gomez et al, 2013b). The wide range of sensitivity could be attributed to

the subjective interpretation of the users and the lack of data output and capture.

2.2.5 Visible Light Fluorescence

When an object is excited by a light of a particular wavelength, the reflected light is of a

larger wavelength and will appear in a different color. This phenomenon is known as fluorescence.

The source of the fluorescence in the tooth is believed to be the dentinal enamel junction (DEJ).

With caries lesion present, the enamel is demineralized therefore creating a scattering effect

13

resulting in less excitation light reaching the DEJ and less scattering of the fluorescence from the

DEJ. When two different forms of fluorescent detection are used, it may also be able to determine

the activity of the caries. The QLF is a light box containing a xenon bulb attached to a handpiece

with bandpass filter through a liquid light guide. As the fluorescence is received from the tooth,

the image is captured digitally (Pretty, 2006b).

In the systemic reviewed by Gomez et al in 2013, there was one in vivo study that showed

QLF has a sensitivity value of 0.83 and a specificity value of 0.92 (Gomez et al., 2013c). However,

the evidence of the study was rated as poor. In a more recent in vitro study by Ko et al. it was

concluded that QLF has the same performance as compared to visual inspection and radiography

in detecting interproximal caries. (Ko et al., 2015) QLF shows promise in its use in detection of

caries, however, more studies will be needed to determine its reliability in caries detection.

2.2.6 Laser Fluorescence

Laser fluorescence also relies on the principle of light being reflected back at a different

wavelength. With laser fluorescence, an excitation light is emitted from a small laser at the

wavelength of 650nm, which produces a red light. In contrast to QLF, laser fluorescence does not

produce an image on the screen, but instead produces numerical values that are interpreted by the

clinician. An example of a device that uses laser fluorescence is the DIAGNOdentTM by Kavo.

(Pretty, 2006b)

In the systemic review by Bader et al., 25 studies were included and was divided into four

categories including in-vitro study on occlusal surfaces, in-vivo study on occlusal surfaces, caries

detection on smooth surfaces, and detection of secondary caries and residual dentinal caries. For

the category of in-vitro study on occlusal surfaces, the sensitivity ranges from 0.52-1.0, specificity

14

ranges from 0.52-1.0, in-vivo study on occlusal surfaces, the sensitivity ranges from 0.73-0.96,

sensitivity ranges from 0.63-0.95, and smooth surface caries, the sensitivity ranges from 0.63-0.75,

specificity ranges from 0.84-0.96 (Bader et al., 2004). From the studies available in the review, it

was shown that DIAGNOdentTM was more sensitive and less specific than the visual method of

detecting occlusal dentinal caries. In conclusion, the review suggested that the DIAGNOdentTM

should not be relied on as the clinician’s primary diagnostic method. Some possible confounding

factors that will affect the readings includes the presence of plaque, stain, calculus, and when use

in the laboratory setting, the storage medium. (Shi et al., 2001).

2.2.7 Electrical Current

Caries detection using electrical current relies on the principle of electrical resistance of

the tooth. Intact enamel has high resistance, but when it becomes porous, the resistance is lowered

as the lesion contains more water. In contrast to enamel, dentin has a relatively low resistance due

to porous nature of the tissue with its many tubules (Ellwood et al., 2004). Two devices have been

developed for clinical use limited to occlusal surfaces that measures electrical conductance by

placing the tip of the instrument on the fissure or groove and the connector on a high conductivity

area such as the skin.

The current clinical trials studying the electrical current method involves the use of

Electronic Caries Monitor (ECM). The EMC device measure the bulk resistance of the tooth

structure through a single fixed-frequency alternating current. The device is presently limited in

the scope to occlusal surfaces and only limited ECM data from clinical trials are available

(Longbottom et al., 2004). In the literature review article by Twetman, there were four studies that

examined the Electronic Caries Monitoring device, with three of moderate quality and one of low

15

quality. Of the three studies of moderate quality, there was one clinical study and two in vitro

studies. It was concluded that the sensitivity ranged between 57-90% but the later value was

obtained for more advanced lesions. The specificity ranged from 62-85%, which the 85% being

based on extracted teeth (Twetman et al., 2013). The ECM readings can be influenced by factors

such as presence of stains on the tooth structure, state of hydration, and stage of tooth development

(Zandona and Zero, 2006). Further study will be needed to validate the accuracy of the device in

the detection of caries.

2.2.8 Ultrasound

There have been very limited studies on the use of ultrasound in caries detection, although

the results do appear promising. The physical principle of ultrasound in caries detection is

transmission of surface ultrasonic waves through the tooth and the reflected waves are collected

to produce an image of the structure. In the study by Matalon et al, the accuracy of the Ultrasound

Caries Detector (UCD) by Novadent was compared to bitewing radiographs in the detection of

interproximal caries in extracted premolar and molar teeth. The study showed that the UCD had

higher sensitivity and specificity in terms of detection of interproximal caries as compared to

bitewing radiographs (Matalon et al., 2003).

2.2.9 Digital Imaging Fiber Optic Transillumination and DEXIS CariVuTM

Digital Imaging Fiber Optic Transillumination (DiFOTI) was first introduced in 2001 by

Electro-Optical Sciences. It relies on the principle of differential transmission of light between

healthy and carious tooth structure, with carious lesions appearing darker due to it being more

porous when compared to healthy tooth structure. The image is then captured digitally on a

computer. DiFOTI has the advantage that it can be used on all tooth surfaces and can detect carious

16

lesions at a very early stage. It is also quick and easy to apply, which makes it applicable to use in

pediatric dentistry. In 2006, KaVo Dental GmbH entered an exclusive licensing agreement with

Electro-Optical Sciences, earning all the rights to the DiFOTI technology and renamed it

DIAGNOcamTM.

DEXIS is a digital dental imaging company that was found in 1993. In 2014, DEXIS

introduced an enhanced DiFOTI system under the name CariVuTM, a caries detection device that

uses near-infrared transillumination to detect caries and cracks with zero radiation (Figure 3). This

handheld device is indicated for the detection and monitoring of supra-gingival incipient or

cavitated caries lesions. The device is limited in use by large restorations and fillings and

subgingival caries (DEXIS, 2013).

Figure 6: DEXIS CariVuTM handheld caries detection device

In order to capture image, the DEXIS CariVuTM device is inserted intraorally and the tip of

the device is placed over the occlusal surfaces of the teeth. The rubber pieces on either side of the

camera are placed buccal and lingually of the teeth to stabilize the device (Figure 4). The device

is moved along the occlusal surfaces and over areas of interest. The images appear in real time on

a computer monitor, and when the area of interest is visualized, with a click of a button on the

device, the image is captured and stored within a software. Each teeth can be selected for which

17

the image correpsonds, and annotated as such. There is no emission from this device, and the

images are simply captured as they are visualized.

Figure 7: Tip of DEXIS CariVuTM device that is positioned over the tooth surface so that it hugs the tooth and the light shines on either side of the tooth.

The tooth structure allows the passage of light from the entry site to the device. Due to the

difference in porosity of healthy enamel and carious lesions, the light passing through the tooth

structure is reflected differently. While healthy tooth enamel reflects the light in full and appears

white, areas that block light transmission (such as carious lesions) show up clearly as well

delimited, dark areas. A digital camera then captures the image and makes it visible in real-time

on the computer screen (Figure 5).

18

Figure 8: A depiction of a CariVuTM image (left) alongside a traditional bitewing image (right) of the same tooth surfaces (DEXIS, 2016).

In a literature review, 14 articles were found that are relevant to the use of near infrared

light transillumination and the DiFOTI technology as a method for detection of occlusal and

interproximal caries. Of the 14 studies, 11 were in vivo studies and 3 were in vitro studies, 12

studies examined the DIAGNOcamTM and 2 specifically studied the effectiveness of the DEXIS

CariVuTM. All 14 studies have found that the near infrared light transillumination method

performed the same or better when compared to traditional bitewing radiograph and could be an

used as an adjunct or as an alternative to traditional bitewing radiograph.

An in vitro study examined the accuracy of DEXIS CariVuTM in the detection of non-

cavitated interproximal lesions. Thirty human extracted premolars ranging from sound

19

interproximal surface to caries lesions extending into the outer one third of the dentin were

included in this study. The study showed that when compared to traditional bitewing radiographs,

DEXIS CariVuTM device performed the same in terms of accuracy, and demonstrated that it was

superior in terms of repeatability. The study supported that the DEXIS CariVuTM can be used as

an alternative to traditional bitewing radiograph for the detection of interproximal caries

(Abogazalah, 2017). A clinical study examined the effectiveness of DEXIS CariVuTM in the

diagnosis of interproximal caries lesions in thirty human subjects. The inter-reliability between

three examiners was evaluated. The study found that the caries depth classification between the

DEXIS CariVuTM and bitewing radiographs were strongly correlated (Berg, 2018a).

Even though there is literature supporting the use of near infrared transillumination as an

alternative or adjunct to traditional bitewing radiograph in the detection of interproximal lesion,

there is a lack of literature that specifically examines the DEXIS CariVuTM, and even more

specifically in the detection of caries that is confined to the DEJ. More so, there is a lack of

literature for in vivo studies that utilizes a gold standard instead of just examining the correlation

between two devices. More studies will need to be completed to close this gap in the knowledge

to determine if DEXIS CariVuTM is a reliable and accurate method for non-cavitated interproximal

caries diagnosis. This could potentially close the gap in the diagnosis of non-cavitated

interproximal caries where diagnostic bitewing radiographs are unattainable.

2.3 Sensitivity, Specificity, and Other Measures of Accuracy

Diagnostic accuracy is the degree of agreement between a reference test and the diagnostic

test being studied (van Stralen, 2009). In healthcare, the “gold standard” refers to the most accurate

test available to date where other tests are compared to determine whether it is a method that could

20

be used. Four different measures are often combined to determine the accuracy of the test, which

are sensitivity, specificity, positive predicative value, and negative predicative value.

Sensitivity is the ability to show a positive result for all those with the target condition. It

is the proportion of all with the target condition and have a positive result to those who indeed

have the target condition. However, in addition to having a high sensitivity, a good diagnostic test

should also be able to discern those without the target condition. Specificity is the ability to express

the negative result for all those without the target condition. It is the proportion of all without the

target condition and a negative test result of all those who indeed are negative for the target

condition (van Stralen, 2009).

In daily practice, in order to assess the accuracy of a test, positive and negative predictive

value must also be taken into consideration. The probability of having the condition after a positive

test result is known as the positive predictive value (PPV), and the probability of not having the

condition after a negative test is known as the negative predictive value (NPV).

TABLE II. DEFINING SENSITIVITY AND SPECIFICITY

Condition Present Condition Absent Test Positive A B Test Negative C D Sensitivity = A / A+C Specificity = D / B+D PPV = A/A+B NPV = B/B+D

21

III. METHODOLOGY

3.1 Image Collection

Approval of the study was obtained from the University of Illinois at Chicago Institutional

Review Board (Appendix A).

DEXIS CariVuTM is a technology that has been adopted for caries detection in the UIC

Pediatric Dental Clinic. Young patients were assessed first clinically and, where deemed necessary

as per the recommendations of the American Academy of Pediatric Dentistry, 2014 updated

Guideline, standard bite-wing radiography was utilized for comprehensive evaluation of the

interproximal surfaces. Furthermore, these patients were examined with DEXIS CariVuTM device.

The radiographic and DEXIS CariVuTM images produced were stored in the patient’s electronic

health record (Axium) used in the UIC Pediatric Dental Clinic.

For the purposes of this study, the PI identified, by a search in Axium, a maximum of 100

patients that have had both bite-wing x-rays and DEXIS CariVuTM images documented. The report

generated from the search included the personal patient dental record number (in Axium) for

patients aged 6-16 years old, who have bitewing radiographs and CariVuTM images. The search

were based on the patients’ age and the billing codes of the bitewing radiograph and CariVuTM

images. The PI reviewed the charts and only healthy children aged 6-16 years old with mixed and

permanent dentition were included. This means that the patients will have a combination of

primary (baby) teeth and permanent (adult) teeth, or only permanent (adult) teeth in their mouths.

Images were only included if both the bitewing and CariVuTM image of the same tooth was

considered diagnostic by the PI. If there was an overlap between surfaces, poor illumination, or

otherwise non-diagnostic images, then the image pair was excluded from the study.

22

Each patient chart has the potential to generate a maximum of 24 images to utilize in the

questionnaire. There are potentially 24 interproximal posterior surfaces in the mouth of a full

mixed-dentition or permanent dentition patient as shown in the image (Figure 7).

Figure. 9: Depiction of the 24 interproximal tooth surfaces that can be generated from one permanent dentition patient.

All images were exported from DEXIS and stored in a Microsoft PowerPoint file. Patient

identifiers were not included with the images, but the images were labeled so that the pairs could

be matched later. In order to avoid repetitive collection of patient data, each included subject

received a study number. A key with all the coded data including the subjects study numbers and

the corresponding personal patient dental record number (in Axium) were kept in a separate

encrypted file in the password protected computer. The document containing the key was

23

destroyed at the end of the study following the official policy of the Department of Pediatric

Dentistry for disposing of confidential information.

3.2 Image Compilation

For the purposes of this study a simple scoring system was implemented to describe the

depth of the carious lesion (Figure 8).

Score Explanation

0 1 2

No caries Incipient caries not touching the DEJ

Caries reaching the DEJ Figure 10. Scoring system implemented for the purposes of the study

An expert committee assessed the radiographic and CariVuTM images to validate the rating

system and confirm that each image is accurately categorized as no caries, incipient caries, or

caries reaching the DEJ. The expert committee consisted of two individuals: Dr. Sahar Alrayyes-

Pediatric Dentist and primary advisor and Dr. Evelina Kratunova- Pediatric Dentist and research

committee member.

The two investigators performing this assessment were trained and calibrated prior the start

of the study. The training included studying the DEXIS CariVuTM manufacturer’s video tutorial

and official instructions of use. The radiographic and DEXIS CariVuTM images for the calibration

24

were compiled by the PI. The examiners assessed all 363 radiographic and corresponding

CariVuTM images collected in the study.

Each of the two experts scored both the bitewing and CariVuTM images. They scored

the images independently from one another. They gave separate bitewing and CariVuTM scores;

these scores did not have to match. They scored each image according to the designated system

(Figure 8) or chose to exclude the image altogether if they deemed it non-diagnostic.

Images were only included in the final questionnaire if the bitewing score for both expert

raters was the same. After excluding all non-matching bitewing scores and excluding all images

deemed non-diagnostic by the experts, 90 image pairs were agreed upon and included. All included

images were of permanent posterior teeth which included molars and premolars. Of these 90

images, the expert committee rated 30 as no caries, 30 as incipient caries not touching the DEJ,

and 30 as caries reaching the DEJ and into dentin. These categories will henceforth be referred to

as no caries, incipient caries, and caries reaching the DEJ.

The paired bitewing and CariVuTM images were separated into two image sets: bitewing

and CariVuTM. Each of these image sets was independently randomized using the randomization

tool on Microsoft Excel to generate a set of randomized numbers 1-90. Based on this

randomization, the image sets were manually re-ordered. An image file was created with the

composition of the 90 randomized bitewing and CariVuTM images. A questionnaire is created and

is included in Appendix B. The image file was then were exported as a PDF file and uploaded on

an Apple Ipad belonging to UIC Department of Pediatric Dentistry to be used in this study.

25

3.3 Choice of Gold Standard

For the purposes of this study, radiographs were selected as the gold standard for caries

diagnosis. The expert committee generated ratings for all of the radiographic images and these

ratings were then deemed to be the “correct” diagnosis.

3.4 Subject Enrollment

Pediatric dental patients at UIC College of Dentistry with both bitewing radiograph and

DEXIS CariVuTM images of the same tooth surfaces stored in the electronic dental health record

system Axium were identified by the PI, through a search on Axium for the treatment code

associated with bitewing radiographs and DEXIS CariVuTM images. There was no direct contact

with the subjects for enrollment.

All pediatric dental residents and faculty members at the UIC Department of Pediatric

Dentistry, were invited to participate as subjects in the study and to serve as raters. Raters were

recruited verbally. No advertising was utilized. Raters were asked to participate by completing the

questionnaire. Participants were informed that the questionnaire would take up to 30 minutes to

complete and were given the option to opt out and not complete the questionnaire, or to decide not

to participate after they had begun completing the questionnaire. The participating subjects were

not aware of which patients the images were taken from and were not aware of how the CariVuTM

and radiographic images matched. The PI and the two faculty committee members were excluded.

A 20 minute tutorial session was conducted by the PI to standardize the interpretation of the

CariVuTM images.

The questionnaire included a cover letter (Appendix C), which contained the elements of

informed consent. Participating subjects were given a sample of different CariVuTM images which

26

were taken from the DEXIS CariVuTM user manual (Appendix D). They were permitted to

reference this chart as they rated the images. Raters were informed that there were a total of 180

randomized images composed of both bitewing and CariVuTM images. The PI answered questions

about image orientation or which surface was meant to be scored. Beyond this, the PI did not

provide any information to the raters during the ratings. The raters reviewed the images on the

same device, the Apple Ipad with the uploaded PDF file, and recorded their findings in the

questionnaire. (Appendix E) The PI then recorded the ratings into a Microsoft Excel workbook.

The PI answered questions about image orientation or which surface was meant to be scored.

Beyond this, the PI did not provide any information to the raters during the ratings.

3.5 Statistical Analysis

IBM SPSS Statistical Analysis and Reporting program will be utilized to analyze the data

from this study. Each data set will involve a caries rating (yes/ incipient/ no) for a radiograph and

a corresponding caries rating (yes/ incipient/ no) for a CariVuTM image. Although the images will

not be paired on the questionnaire, they are related samples and will be paired for data analysis.

27

IV. RESULTS

4.1 Number of Raters and Response Rate

The data collection took place at the UIC Department of Dentistry between the dates of

February 20th, 2019 and March 13th, 2019. Participating subjects completed the questionnaire in

one setting and within 30 minutes.

All pediatric dentists and pediatric dental residents of the UIC Department of Pediatric

Dentistry were asked to participate in the study. This consisted of nine first year residents, seven

second year residents, two third year residents, and eight faculty members. One resident, the

principle investigator, and two faculty members, the expert committee, were excluded from

participating due to their involvement in compiling the images. There were therefore 26

individuals eligible for participation. All 26 individuals completed the questionnaire.

4.2 Demographics

The only demographic information collected was the status of the raters categorized either

as a first year resident, second year resident, third year resident and faculty member. The

participating subjects were asked to indicate their status on the questionnaire. Nine raters were first

year residents, seven raters were second year resident, two raters were third year resident, and eight

raters were faculty member.

4.3 Determination of observations for data analysis

A total of 180 images were determines eligible to be included in the study, 90 bitewings

radiographs and 90 CariVuTM images. Each image was rated once, where each rating was

computed as an independent observation. The sensitivity and specificity were calculated based on

28

the subject’s ratings and compared to the rating of the accurate rating of the corresponding

radiograph’s image, the gold standard. However, during processing of the data, it was discovered

that a single bitewing image was shown and rated twice, and the corresponding CariVuTM image

was also shown and rated twice. All corresponding ratings for the 4 images were excluded in the

data analysis for this study. This resulted in a total of 176 images, 88 bitewing and 88 CariVuTM

images, to be included in this study. There was a total of 26 raters, resulting in a total of 4576

observations. This included the bitewing and CariVuTM image for 30 caries reaching the DEJ, 29

incipient caries, and 29 no caries sites.

4.4 Accuracy of Image Scoring by Image Type

The accuracy of each image was determined by comparing each individual rating to the

correct diagnosis as determined by the expert committee using the bitewing image as the gold

standard. This was categorized into no caries, incipient caries, and caries reaching the DEJ and

examined by the image type either as bitewing radiograph or CariVuTM image. This study included

29 image pair as no caries, 29 image pair as incipient caries, and 30 image pair as caries reaching

the DEJ. Each image set included 2 images, one bitewing and one CariVuTM image. There was a

total of 26 raters, yielding a total of 754 image pair observations of no caries, 754 image pair

observations of incipient caries, and 780 image pair observations of caries reaching the DEJ. This

yielded a total of 4578 observations. The results of the percentage accurate is as shown in table III,

IV and V. The results are also represented graphically in figure 9.

29

TABLE III

ACCURACY OF RATING FOR NO CARIES*

Bitewing CariVu Total Incorrect Count 127 284 411

Percent within Expert Rating 16.8% 37.4% 27.3%

Correct Count 627 470 1097 Percent within

Expert Rating 83.2% 62.3% 72.7%

Total 754 754 1508 *Pearson Chi-Square =82.443 , 2df, p = 0.000

TABLE IV ACCURACY OF RATING FOR INCIOIENT CARIES*

Bitewing CariVu Total

Incorrect Count 242 487 729 Percent within

Expert Rating 32.1% 64.6% 48.3%

Correct Count 512 267 779 Percent within

Expert Rating 67.9% 35.4% 51.7%

Total 754 754 1508 *Pearson Chi-Square = 159.393, 2df, p = 0.000

30

TABLE V ACCURACY OF RATING FOR DENTINAL CARIES*

Bitewing CariVu Total Incorrect Count 277 174 451

Percent within Expert Rating

35.5% 22.3% 28.9%

Correct Count 503 606 1109 Percent within

Expert Rating 64.5% 77.7% 71.1%

Total 780 780 1560 *Pearson Chi-Square = 33.090, 2df, p = 0.000

Figure 11. Accuracy of ratings for bitewing and CariVuTM based on percent correct

83.2

67.964.562.3

35.4

77.7

0

10

20

30

40

50

60

70

80

90

No caries Incipient Caries Dentin Caries

Perc

enta

ge o

f Im

age

Scor

es C

orre

ct

ACCURACY OF BITEWING AND CARIVU

Bitewing CariVu

31

4.5 Sensitivity and Specificity

Sensitivity and specificity were calculated for both the bitewing radiograph and CariVuTM

using two categories.

4.5.1 No Caries versus Any Category of Caries

The sensitivity and specificity of bitewing radiograph and CariVuTM were calculated for

no caries versus any caries. The expert committee’s rating was used as the correct rating for the

images. The incipient caries and caries reaching the DEJ were grouped into one single category,

referred to as any caries. No caries was then compared to [incipient caries + caries reaching the

DEJ]. The ratings of the images were compared to the correct diagnosis. The sensitivity and

specificity were calculated with the 95% confidence interval using Vassar Stats website (Table

VI).

TABLE VI SENSITIVITY AND SPECIFICITY OF BITEWING RADIOGRAPH COMPARED TO

CARIVU IMAGES, GROUPED AS NO CARIES VS ANY CARIES

Value 95% Confidence Interval Bitewing Sensitivity 0.875 0.857 – 0.891 Specificity 0.832 0.802 – 0.857 CariVu Sensitivity 0.847 0.830 – 0.865 Specificity 0.629 0.594 – 0.663

No caries versus any caries as compared to the expert’s rating used as the gold standard. N = 2288

32

4.5.2 Dentinal Caries versus Other Categories

The sensitivity and specificity of bitewing radiograph and CariVuTM were calculated for

caries reaching the DEJ versus no caries and incipient caries The expert committee’s rating was

used as the correct rating for the images. The incipient caries and no caries were grouped into one

single category, referred3 to as others. Caries reaching the DEJ was then compared to [incipient

caries + no caries]. The ratings of the images were compared to the correct diagnosis. The

sensitivity and specificity were calculated with the 95% confidence interval using Vassar Stats

website (Table V).

TABLE VII SENSITIVITY AND SPECIFICITY OF BITEWING RADIOGRAPH COMPARED TO

CARIVU IMAGES, GROUPED AS DENTIN CARIES VS OTHER CATEORIES

Value 95% Confidence Interval Bitewing Sensitivity 0.644 0.610 – 0.678 Specificity 0.936 0.923 – 0.948 CariVu Sensitivity 0.778 0.747 – 0.806 Specificity 0.692 0.668 – 0.715

Dentin caries versus other categories as compared to the expert’s rating used as the gold standard. N = 2288

4.6 Distribution of Scoring

The distribution of the incorrect ratings by the raters were analyzed for both the bitewing

and CariVuTM images.

For the images scored as “no caries” by the expert committee based on the bitewing

radiograph, the incorrect ratings were analyzed. There was a total of 754 images of each type

33

included in the analysis (29 image pairs x 26 raters = 754 image pairs). For the bitewing images,

627 images were rated correctly as no caries, 119 images were rated as incipient caries by the

raters, 8 images were rated as caries reaching the DEJ by the raters. For the CariVuTM images, 470

images were rated correctly as no caries, 140 images were rated as incipient caries by the raters,

144 images were rated as caries reaching the DEJ by the raters (Figure 10).

For the images scored as “incipient caries” by the expert committee based on the bitewing

radiograph, the incorrect ratings were analyzed. There was a total of 754 images of each type

included in the analysis (29 image pairs x 26 raters = 754 image pairs). For the bitewing images,

512 images were rated correctly as incipient caries, 154 images were rated as no caries by the

raters, 88 images were rated as caries reaching the DEJ by the raters. For the CariVuTM images,

250 images were rated correctly as incipient caries, 184 images were rated as no caries by the

raters, 320 images were rated as caries reaching the DEJ by the raters (Figure 11).

For the images scored as “caries reaching the DEJ” by the expert committee based on the

bitewing radiograph, the incorrect ratings were analyzed. There was a total of 780 images of each

type included in the analysis (30 image pairs x 26 raters = 780 image pairs). For the bitewing

images, 503 images were rated correctly as caries reaching the DEJ, 37images were rated as no

caries by the raters, 240 images were rated as incipient caries by the raters. For the CariVuTM

images, 606 images were rated correctly as caries reaching the DEJ, 67 images were rated as no

caries by the raters, 106 images were rated as incipient caries by the raters (Figure 12).

34

Figure 12. Images scored as “no caries” by expert committee, distribution of ratings.

627

470

119

140

8

144

B I T E W I N G C A R I V U

DISTRIBUTION OF SCORINGNo Caries Incipient Caries Dentin caries

35

Figure 13. Images scored as “Incipient Caries” by expert committee, distribution of scoring by raters.

88

184

512250

154

320

B I T E W I N G C A R I V U

DISTRIBUTION OF SCORINGNo Caries Incipient Caries Dentin caries

36

Figure 14. Images scored as “Dentin Caries” by expert committee, distribution of scoring by raters.

The distribution of the scoring was analyzed by the rater status. The correct and incorrect

ratings for each status groups, first year residents, second year residents, third year residents, and

faculty were examined. A Pearson Chi-Square was calculated for the data (Table VIII).

37 67

240106

503

606

B I T E W I N G C A R I V U

DISTRIBUTION OF SCORINGNo Caries Incipient Caries Dentin caries

37

TABLE VIII DISTRIBUTION OF SCORES CORRECT BY RATER STATUS*

First Year Residents

Second Year Residents

Third Year Residents

Faculty

Correct 1012 414 214 941 Incorrect 572 818 138 467 Total 1584 1232 352 1408

*Pearson Chi-Square = 6.641, 2df, p = 0.084

4.7 Rater Validity

The rater validity was examined for both the bitewing and CariVuTM. Each individual

rating was compared to the expert’s rating and Kendall’s Tau b was calculated for both the

bitewing radiograph and the CariVuTM. The Kendall’s Tau b value for radiograph is 0.7 and the

value is 0.49 for the CariVuTM.

38

V. DISCUSSION

5.1 Strengths and Limitations of the Study

5.1.1The Choice of Gold Standard

The choice of gold standard in this study is the “correct” diagnosis determined by an expert

committee based on the bitewing radiographs. One limitation of this study is that this does not

truly reflect the caries status of the tooth, but rather what is deemed correct on the bitewing

radiographs by the expert committee. By using this as the gold standard, it is implying that the

bitewing radiograph has a 100% accuracy in determining the caries status, which we know it is not

the case. However, there are many other studies that have used similar designs and used bitewing

as the gold standard which shows that this is an acceptable methodology (Litzenburger 2018,

Bizhang 2016, Lara-Capi 2017).

Another concern would be the error introduced by the expert committee in their diagnosis

of caries as it appears on the bitewing radiographs. However, the images of the bitewing were

scored independently of the other committee member. Both members are highly qualified in their

professional experience which minimizes the chance of error in the diagnosis of caries. Only the

images that received the same diagnosis from both experts were included in this study, and this

further decreases the chance of error.

Other studies for the DiFOTI system have either utilized different gold standards or did not

include the use of a gold standards. In the study by Kunisch et al, the choice of gold standard is

the clinical determination of the depth by preparing the tooth and visualizing the lesions. The gold

standard of clinical verification was also used in the study by Ozkan et al in the examination of the

DIAGNOcamTM. Another study that examined the DEXIS CariVuTM and bitewing radiograph,

39

there is a lack of gold standard, and instead a correlation was examined for the two methods (Berg,

2018b).

The expert committee must agree on the diagnosis of the caries, and any non-diagnostic

radiographs such as those with overlaps and the ones with questionable quality were excluded.

Therefore, radiographs chosen to be included in this study were automatically preselected for its

clarity and diagnostic quality. This could introduce a limitation in this study because these images

do not reflect of those that are normally seen in the clinical setting. This could introduce bias for

the accuracy of the bitewing radiograph and its sensitivity and specificity. One way to eliminate

this bias is to include all bitewings in this study, however, this would mean that the bitewings could

not be used as a gold standard.

5.1.2 Lesions Included in This Study

The lesions included in this study are non-cavitated interproximal caries lesions in

permanent teeth. This is a strength in this study due the exclusion of cavitated lesions.

Traditionally, caries would appear as a dark area on the CariVuTM image. However, when there is

cavitation, sometimes depending on the placement of the CariVuTM device, the lesion could appear

transparent and lighter in color, which could be interpreted as no caries or incipient caries. By

excluding the cavitated lesions, the misrepresentation is eliminated.

In the routine practice of diagnosing interproximal lesions, a practitioner would utilize a

combination of methods including visual, tactile, and radiograph. For the cavitated interproximal

lesions, they can be detected with visual and tactile in addition to radiograph due to the cavitation

extending to the occlusal, buccal and lingual surfaces. In those instances, it eliminates the need for

adjunct tools in its detection as it can be affirmed that the lesions do exist. In this study, the

selection of only non-cavitated lesions is a strength because it reflects the clinical scenario that an

40

adjunct is indicated in addition to bitewing radiographs. This is a strength of the study because the

lesions examined in this study are equivalent to those that are usually in question in a clinical

setting.

5.1.3 Inexperience of the Users

There are two different components of inexperience of the users; the inexperience in the

obtaining of the CariVuTM images and in the interpretation of the images. A short training was

provided to all the dental assistants as well as the residents at UIC Department of Pediatric

Dentistry. However, the assistants and residents still have less experience in obtaining the

CariVuTM images as compared to bitewing radiographs. The inexperience could result in decreased

quality of the CariVuTM images obtained. The residents and faculty surveyed in this study all have

had limited experience with the interpretation of the CariVuTM images. This could also result in

error in the interpretation of the CariVuTM images by the raters.

5.1.4 The View of the Images

The images were accessed on DEXI software. Each image was cropped to only show the

surface of interest, and the contrast and brightness were maximized by the PI. The images were

copied and compiled into a PDF file and downloaded on an Apple Ipad. The Ipad was given to the

raters individually to be rated independently. Since all the raters used the same device in rating of

the lesions, the images viewed were standardized which is a strength in this study.

The cropping of the image to only contain the surface of interest could cause visual effects

since the surface is at the edge of the image, and this could askew how the lesion appears. The

background on the PDF file is white, which is different from black background in the DEXIS

41

software. Normally when viewing the images on the DEXIS software, the brightness and contrast

could be adjusted as needed to best visualize the lesions. However, in this study, the images are

adjusted as to what the PI would deem to be the clearest. The raters could enlarge the images as

needed on the Ipad, however, they do not have the contrast and brightness tools as they to help

visualize the caries lesions. Also, the resolution of the images viewed on the Ipad may be different

from the computer screen used in the clinic.

5.2 Accuracy of Image Scoring by Image Type

There is a difference in the accuracy of the bitewing and CariVuTM images in this study. In

this study, the bitewing images are more accurate for the detection of no caries and incipient caries,

while the CariVuTM was more accurate in the detection of caries reaching the DEJ. This indicates

that the CariVuTM is more likely to pick up caries reaching the DEJ versus the no caries and

incipient caries, and that the CariVuTM is inferior to the bitewing in the detection of no caries and

incipient caries. However, as previously discussed, the bitewing radiographs were specifically

chosen for its quality in this study. Even though the bitewing is more accurate than the CariVuTM

in this study for the detection of no caries and incipient caries, the bitewing radiographs had an

advantage compared to the CariVuTM. Therefore, the accuracy of the CariVuTM as compared to

bitewing may actually be higher in routine clinical settings than what is concluded in this study

due to the bias in the pre-selection of the bitewing radiographs.

5.3 Sensitivity and Specificity

In this study, the bitewing images were rated first by the expert committee. Only those

bitewing radiographs with the ratings that was agreed upon by the committee were chosen to be

42

included in this study. In this case, instead of truly determining the sensitivity and specificity of

the bitewing and CariVuTM in caries detection, this study actually examined the sensitivity and

specificity of detecting the caries noted by the expert committee on the bitewing radiographs.

Sensitivity and specificity are used to measure the presence or absence of disease. This is

a comparison of a binomial ordinates of disease present, disease absent, test positive, and test

negative. For this study, the incipient caries poses as a third category and it must be taken into

consideration when determining the sensitivity and specificity of the bitewing radiograph and

CariVuTM device. Two questions were examined in this study: how valid is the CariVuTM at

detecting any caries, and how valid is the CariVuTM in only detecting caries reaching the DEJ. In

the first question, the incipient caries is considered as diseased and would require treatment

intervention such as implementation of preventative measures. In the second question, only the

caries reaching the DEJ is considered as diseased and would require restorative intervention.

The sensitivities for the bitewing radiograph are 0.88 and 0.644 for any caries and caries

reaching the DEJ respectively. In previous studies, it has been shown that the sensitivity ranges

from 0.14 – 0.66 for non-cavitated proximal caries (Bader et al, 2001, Gomez et al., Schwendicke

et al.). This could be due to the fact that these bitewing radiographs are used as the gold standard

in this study, and only the clear and high diagnostic quality images were included. This does not

reflect what may be routinely seen in the clinical setting. The specificities for the bitewing

radiograph in this study is 0.83 and 0.93 for any caries and caries reaching the DEJ. The reported

range of specificity is 0.55 – 0.95 (Bader et al., 2001d, Gomez et al., 2013d, Schwendicke et al.,

2015b). The specificities that we found in this study is within the range of other studies. This shows

that the bitewing radiographs used in this study was a reliable method for detecting caries and not

overly diagnose caries.

43

The sensitivity for CariVuTM was 0.68 and 0.78 for any caries and caries reaching the DEJ.

The sensitivity range for the CariVuTM for any caries overlaps with the sensitivity of the bitewing

for the same category. This shows that the CariVuTM is equally as accurate in detecting any caries.

However, the sensitivity of CariVuTM for caries reaching the DEJ is higher than that of bitewing

radiograph. This shows that the CariVuTM is more likely to detect caries reaching the DEJ than

bitewing radiograph. The specificity for CariVuTM is 0.63 and 0.69 for any caries and caries

reaching the DEJ. These specificity values are lower than that of bitewing for both categories. This

shows that the CariVuTM is more likely to produce false positives for any caries as well as for

caries reaching the DEJ. This means that the CariVuTM is more likely to over diagnose caries as

compared to bitewing radiographs.

5.4 Distribution of Scoring

The distribution of the scoring was assessed for all three image types. Computing the

distribution of scoring is critical and has clinical implications in uncovering whether the CariVuTM

device under or over diagnose the severity of dental caries. If the rater is more likely to rate the

lesion as more severely diseased, this would lead to over treatment of the lesion. The reverse is

true, if the rater is scoring the images as less severely diseased, then the device is under diagnosing

true lesions that may require intervention.

For the category of “no caries” as determined by the expert committee, the raters rated 16%

incorrectly as incipient caries and 1% incorrectly as caries reaching the DEJ. For the CariVuTM

images, the rater rated 19% incorrectly as incipient caries and 19% incorrectly as caries reaching

the DEJ. This is concerning because the CariVuTM ratings were scored as more diseased than the

bitewing radiographs which would lead to over diagnosis of the severity of the lesions.

44

For the category of “incipient” as determined by the expert committee, the raters rated 20%

incorrectly as no caries and 12% incorrectly as caries reaching the DEJ. This shows that the ratings

bitewing radiograph is slightly towards less diseased when the “correct diagnosis” is incipient

caries. For the CariVuTM images, the rater rated 22% incorrectly as no caries and 42% incorrectly

as caries reaching the DEJ. Even though the CariVuTM has more rating of no caries than bitewing

radiograph, this is because there is a larger percentage of all incorrect for the CariVuTM than

bitewing radiograph. The 42% rating of the CariVuTM as caries reaching the DEJ is significant and

it further confirms that the CariVuTM would over diagnose the severity of disease and lead to over

treatment.

For the category of “caries reaching the DEJ” as determined by the expert committee, the

raters rated 5% incorrectly as no caries and 31% incorrectly as incipient caries. For the CariVuTM

images, the rater rated 9% incorrectly as incipient caries and 14% incorrectly as caries reaching

the DEJ. For the bitewing, the incorrect rating of incipient caries is greater than those that were

incorrectly rated as no caries, and there is more correlation in the error for the severity of the lesion.

Whereas, the difference between the incorrect rating of incipient caries and no caries for the

CariVuTM is smaller and the error is more inconsistent and random. This shows that the even when

rated incorrectly, the disease severity is still rated as closer to the true status of the disease as

detected by the bitewing radiograph than the CariVuTM. This also could imply that the bitewing

radiograph under-diagnosis the severity of the disease as compared to the CariVuTM.

We also examined the distribution of the scoring based on the status of the raters. There is

no significant difference between the 1st year residents, 2nd year residents, 3rd year residents, and

faculty. One might expect that the 1st year residents would have the least accurate ratings and the

faculty would have the most accurate ratings due the difference in clinical experience. This result

45

may be due to that all the rater status groups had the same amount of limited experience with the

CariVuTM device. Also, as previously discussed, the bitewing radiographs included in this study

have better diagnostic quality which eliminates the uncertainty in the diagnosis. The combination

of these two factors could be why there was no difference amongst the raters based on their status.

5.5 Rater Validity

The validity of the ratings were examined by measuring the Kendall’s Tau b value for the

bitewing radiograph and CariVuTM. This is answering the question, “how similar are the raters to

the expert?” This also helps in answering the question of validity of the bitewing radiograph and

CariVuTM. The Kendall Tau b value for bitewing is 0.70, and 0.49 for the CariVuTM. This shows

that the raters rating of the bitewing radiograph is more similar to the expert’s rating of caries than

the CariVuTM. This again shows that the CariVuTM overall is less valid than the bitewing

radiograph in detecting caries in this study.

5.6 Implications for Care

For the incipient caries in this study, the CariVuTM over diagnosed the severity of the

disease by 42%. This would have clinical implications in that it would lead to over diagnosis and

over treatment by the clinicians for the patients in low and moderate caries risk category. Unlike

bitewing radiographs, the CariVuTM device emits no radiation, therefore images could be taken

more frequently with no contraindications. The CariVuTM is also more accurate and more sensitive

in detecting caries reaching the DEJ than bitewing radiographs. For the patients in low and

moderate caries risk categories, the CariVuTM can be used as an adjunct in the monitoring of the

progression of the caries, especially as the caries progresses and approaches the DEJ.

46

For the patients that is deemed to be at high caries risk, the AAPD guideline recommends

the restoration of the incipient, cavitated and enlarging lesions. In this regard, the CariVuTM is a

suitable device for patients who are placed in the high caries risk category. Even though the

CariVuTM device would overly diagnose the severity of the lesion, however, the same treatment is

indicated for both the incipient caries and caries reaching the DEJ.

5.7 Future Studies

In this study, the choice of gold standard is bitewing radiographs rated by an expert

committee. In future studies, other choice of gold standard could be utilized such as histological

sections of the teeth, use of CBCT, or examination of prepared teeth to determine the extent of the

lesions. This could yield a true reference for the status of the caries in the tooth.

All young permanent posterior teeth were included in this study and was not distinguished

between the types of teeth. In a future study, it could examine only premolars or molars, or a

comparison of the different teeth types to see if there is any difference in the DEXIS CariVuTM in

the detection of caries.

In this study, the CariVuTM images were taken on patients who already have bitewing

radiographs and the CariVuTM was used as an adjunct tool to aid in the decision to whether treat

the lesions. The patients with the CariVuTM images in this study were relatively older and

cooperative for the bitewing radiographs. However, the pediatric patients may not always be able

to cooperate for the bitewing radiograph. A future study could examine the use of the DEXIS

CariVuTM from a behavioral perspective and determine whether the DEXIS CariVuTM device

would be more tolerated in by the pediatric dental patients than the bitewing radiographs.

47

The subjects in this study were the residents and faculty of the UIC Department of Pediatric

Dentistry. Even though the DEXIS CariVuTM is available to be used in the clinic, there is still a

limited utilization by the residents and faculty. The subjects have had fairly limited exposure and

use of the DEXIS CariVuTM in both taking and interpreting of the images as compared to bitewing

radiographs. A future study where practitioners with more exposure and experience with the

CariVuTM device could be studied to eliminate the factor of inadequate experience.

48

VI. CONCLUSIONS

1. There is a difference in the accuracy of caries detection between bitewing radiographs and

CariVuTM images, with the bitewing radiographs being more accurate for no caries and

incipient caries, and the DEXIS CariVuTM being more accurate for caries reaching the DEJ.

The greatest difference was for incipient caries.

2. CariVuTM is equally as sensitive in detecting if there is any caries as bitewing radiograph,

however there is more false positives than bitewing radiograph. CariVuTM is more sensitive

in detecting caries reaching the DEJ than bitewing radiographs but also with more false

positives.

3. There is difference in the rater validity between the CariVuTM and bitewing radiograph,

with the bitewing being more valid than the CariVuTM.

49

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APPENDICES

APPENDIX A

Exemption Granted February 5, 2019 Ann Mast Pediatrics RE: Research Protocol # 2018-1605 “Comparison of DEXIS CariVuTM caries detection device to traditional bite wing radiography for diagnosis of interproximal caries in young permanent teeth” Funding Source/Sponsor: None Dear Ann Mast: Your Claim of Exemption was reviewed on February 5, 2019 and it was determined that your research meets the criteria for exemption. You may now begin your research. Performance Site: UIC Subject Population: a) Adult (18+ years) pediatric dental residents and faculty members at the UIC Department of Pediatric Dentistry b) De-identified medical records initially collected for clinical purposes Number of Subjects: a) 40 b) 100 The specific exemption categories under 45 CFR 46.101(b) are: 2 and 4 HIPAA Waiver: The Board determined that this research meets the regulatory requirements for waiver of authorization as permitted at 45CFR164.512(i)(1)(i)(A). Specifically, that the use or disclosure of protected health information (PHI) meets the waiver criteria under 45CFR164.512(i)(2)(ii); the research involves no more than a minimal risk to the privacy of the individuals; the research could not practicably be conducted without the waiver; and the research could not practicably be conducted without access to and use of the PHI. You are reminded that investigators whose research involving human subjects is determined to be exempt from the federal regulations for the protection of human subjects still have responsibilities for the ethical conduct of the research under state law and UIC policy. Please be aware of the following UIC policies and responsibilities for investigators:

54

APPENDIX A (continued) Amendments You are responsible for reporting any amendments to your research protocol that may affect the determination of the exemption and may result in your research no longer being eligible for the exemption that has been granted. Record Keeping You are responsible for maintaining a copy all research related records in a secure location in the event future verification is necessary, at a minimum these documents include: the research protocol, the claim of exemption application, all questionnaires, survey instruments, interview questions and/or data collection instruments associated with this research protocol, recruiting or advertising materials, any consent forms or information sheets given to subjects, or any other pertinent documents. Final Report When you have completed work on your research protocol, you should submit a final report to the Office for Protection of Research Subjects (OPRS). Please be sure to use your research protocol number (2018-1605) on any documents or correspondence with the IRB concerning your research protocol. We wish you the best as you conduct your research. If you have any questions or need further help, please contact the OPRS office at (312) 996-1711 or me at (312) 355-2908. Sincerely, Charles W. Hoehne, B.S., C.I.P. Assistant Director, IRB #7 Office for the Protection of Research Subjects

55

APPENDIX B Images 1-9

56

APPENDIX B (continued)

Images 10-18

57

APPENDIX B (continued)

Images 19-27

58

APPENDIX B (continued)

Images 28-36

59

APPENDIX B (continued)

Images 37-45

60

APPENDIX B (continued)

Images 46-54

61

APPENDIX B (continued)

Images 55-63

62

APPENDIX B (continued)

Images 64-72

63

APPENDIX B (continued)

Images 73-81

64

APPENDIX B (continued)

Images 82-90

65

APPENDIX B (continued)

Images 91-99

66

APPENDIX B (continued)

Images 100-108

67

APPENDIX B (continued)

Images 109-117

68

APPENDIX B (continued)

Images 118-126

69

APPENDIX B (continued)

Images 127-135

70

APPENDIX B (continued)

Images 136-144

71

APPENDIX B (continued)

Images 145-153

72

APPENDIX B (continued)

Images 154-162

73

APPENDIX B (continued)

Images 163-171

74

APPENDIX B (continued)

Images 172-180

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APPENDIX C

Dear Prospective Participant, We are attempting to ascertain how different diagnostic images are viewed and interpreted by practitioners. This study is strictly voluntary, and you can withdraw at any time. Every effort will be made to keep your participation confidential. Your decision whether or not to participate will not impact your relationship with UIC or the Department and will not impact your standing. There will be no risks involved in completing the questionnaire. The questionnaire will take you no longer than 30 minutes to complete. You will see a series of images. Some of these are traditional bite wing images. Some of these are CariVuTM images which were captured from the occlusal view of the tooth. You will be asked to classify each image as:

0 - No Caries 1 - Incipient caries not touching the DEJ 2 - Caries touching the DEJ and into dentin

For questions, you may contact the Primary Investigator, Ann Mast, DDS, at [email protected]. If you have any questions about rights as a research subject, please contact the office of protection of research subjects of the University of Illinois at Chicago at (312) 996-1711.

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APPENDIX D

Adapted from DEXIS CariVuTM Operator Manual

Proximal Caries Detection Classification

Clinical Representation

77

APPENDIX E

78

APPENDIX E (continued)

79

VITA

Ann Mast, DDS

PUBLICATIONS: Kennedy, S. A., Frazier, M. L., Steiniger, M., Mast, A. M., Marzluff, W. F., & Redinbo,

M. R. (2009). Crystal Structure of the HEAT Domain from the Pre-mRNA Processing Factor Symplekin. Journal of Molecular Biology, 392(1), 115–128.

EDUCATION: University of Illinois at Chicago, Chicago, Illinois 2017- 2019 Certificate in Pediatric Dentistry Master of Oral Sciences University of North Carolina, School of Dentistry, Chapel Hill, North

Carolina 2010 - 2014

Doctor of Dental Surgery University of North Carolina, Chapel Hill, North Carolina 2006 –2010 Bachelor of Science in Biology Bachelor of Arts in Asian Studies EMPLOYMENT: United States Air Force 2014 - 2017 General Dentist

Commissioned Officer – Captain LICENSURE: North Carolina State Dental License May, 2014 Illinois State Dental License July, 2017

PROFESSIONAL MEMBERSHIP: American Academy of Pediatric Dentistry 2017 - current Illinois Society of Pediatric Dentists

2017 - current


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