Biomarkers extraction from multi-parametric
MRI studies for prostate cancer assessmentGarcía-Juan D1, Alberich-Bayarri A1,2,García-Castro F1, Torregrosa-Lloret A2, Torregrosa-
Andrés A3,García-Collado JJ3,Ganeshan B4, Martí-Bonmatí L2
1 QUIBIM SL, Valencia, Spain2 La Fe Health Research Institute, Valencia, Spain
3La Fe Radiology Department, Valencia, Spain4TexRAD Ltd, Cambridge, United Kingdom
• Introduction and clinical need
• Objectives
• Material and Methods– Image Acquisition
– Image processing workflow
• Results– Structured Report
– Clinical validation
• Conclusions and Future Work
Outline
Introduction
Prostate Cancer: Some Relevant facts
• Prostate cancer (PC) is the
second most diagnosed type of
cancer
• PC is the fifth leading cause of cancer
related death in men worldwide (most
frequent cause of cancer death in men
in developed countries)
• MRI techniques such as T2W, DW and
DCE can provide complementary
information about tissue texture,
cellularity and capillarity
ADAM Inc.
Purpose
Objective 1
Performing voxelwise multi-parametric analysis from T2W, DW
and DCE MR images to extract different imaging biomarkers
related with PC detection and grading.
Objective 2
Application of multi-variate analysis to create nosologic images
closer to clinical endpoints.
Materials and Methods
T2W DW DCE
Edema Cellularity Micro-vascularity
Image acquisition
Materials and Methods
Image processing
Reslicing +
Coregistration
Texture Analysis
Curve modeling
Multi-variate
Analysis
DICOM source
Images
Nosologic Maps
Martí Bonmatí L, et al. Biomarcadores de imagen, imagen cuantitative y bioingeniería. Radiología. 2012
Oostendorp M et a.. Vessel Growth and Function: Depiction with Contrast-enhanced MR Imaging. Radiology 2009
Results
Texture analysis: Kurtosis,
Skewness, Entropy.
Difussion analysis: ADC (mean,
perc25, perc 25 mean)
Perfusion analysis: Ktrans, kep
(mean, perc75, perc75 mean)
Structured Report
Results
Clinical validation with Radiologists
Conclusions
We developed a first software prototype capable of performing
voxelwise multi-parametric analysis from T2W, DW and DCE MRI
acquisitions and generate nosologic maps with multivariate
analysis
First prototype is currently being evaluated in La Fe Polytechnic
and University Hospital (n=30)
Feedback from radiologists stands that structured Reports provide
generated quantitative information in a more comprehensive way
Integration of PET studies in our developed technique can
complement multi-parametric MRI information
Luis Martí Bonmatí – MD, PhD. GIBI PI and QUIBIM
Founder
Ángel Alberich-Bayarri – PhD. GIBI Director and
QUIBIM CEO
QUIBIM Staff
Fabio García Castro - M.Sc
Rafa Hernández - B.Sc
David García - M.Sc
Encarna Sánchez - M.Sc
Katherine Wilisch R. - M.Sc
GIBI230 Staff
Enrique Ruiz Martínez – M.Sc
Amadeo Ten Esteve – M.Sc
Ana Penadés - Adm.
Internship Students
Belén Fos Guarinos
Alfredo Torregrosa Lloret
Carlos Moya Claramunt
Ana Jiménez Pastor
Irene Mayorga Ruiz
Team
CSO CTO Back-End Development of Imaging Biomarkers Business Development Coordinator and
CEO support
MS BiomedicalEngineering
Clinical Trials Coord. Administration
