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
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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
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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
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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.
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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
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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).
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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:
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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
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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
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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