Meeting Banner
Abstract #2969

Prediction of Prostate Cancer Aggressiveness Using Diffusion MRI: Correlation of ADC Values with Gleason Score on TRUS Biopsy

Durgesh Kumar Dwivedi1, Rajeev Kumar2, Sanjay Thulkar3, Sanjay Sharma3, Amit K. Dinda4, Naranamangalam R. Jagannathan1

1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, Delhi, India; 2Department of Urology, All India Institute of Medical Sciences, New Delhi, Delhi, India; 3Department of Radio-diagnosis, All India Institute of Medical Sciences, New Delhi, Delhi, India; 4Department of Pathology, All India Institute of Medical Sciences, New Delhi, Delhi, India

Gleason grading is predictor of aggressiveness and disease outcome in prostate cancer (PCa) patients and its reproducibility might depend upon clinical factors and pathologist experience. For accurate treatment selection for PCa it is essential to know the Gleason score (GS) accurately on TRUS biopsy or final GS on radical prostatectomy specimens. In order to improve pretreatment prediction of PCa aggressiveness, we performed a prospective study to evaluate PCa aggressiveness based upon apparent diffusion coefficient (ADC) values derived from diffusion weighted MRI. Our study indicated that ADC values could be used as a noninvasive method in the prediction of PCa aggressiveness.

Abstract PDF E-Poster Video

Keywords

aggressive aggressiveness among another approaches appropriate array assess attributed biopsy calculation cancer carried cell central challenge challenges challenging chose circular clinicians coil confounding contrary core correlate correlation cover decision dependency depending despite detected detecting determine diagnosis differ diffusion digital earlier elevated errors evaluate examination excluded find findings general grade grades grading guided hence highly indolent infection institute institution intermediate invasive inverse inversely irrespective known leading like likelihood limitation limited majority making malignancy materials matrix medical metastasize miss noninvasive observe others pathology patient patients peripheral plot pooled position positive post potential predict prediction proliferation promising prostate quickly radical radio recruited rectal reduction reliable require retention revealed sample sampling scanner scheduled sciences score scores scout seems selecting sensitivity serum shot since slice slightly software specimens spin statistical suffers surface susceptible therapeutic tissue tissues together tool tract transverse treatment tumor tumors turbo turn undergo uniform urinary urology variance varied vary weightings whether whole zone