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Abstract #3341

MRI-based Radiomics Analysis for Clinically Significant Prostate Cancer Diagnosis using a Standardized Prostate Segmentation Model

Sohaib Naim1, Kai Zhao1, Haoxin Zheng1, Ran Yan1, Steven Satish Raman1, and Kyunghyun Sung1
1Radiology, University of California, Los Angeles, Los Angeles, CA, United States

Synopsis

Keywords: Prostate, Prostate, Prostate Cancer, Radiomics Analysis

Motivation: Despite the growing use of multiparametric MRI (mpMRI), there remains an unmet need for additional quantitative methods to improve prostate cancer (PCa) localization by prostate anatomic zones.

Goal(s): To extract radiomics features that determine differences in detection rates (DRs) and positive predictive values (PPV) for clinically significant PCa (csPCa).

Approach: We extracted shape- and first-order based features from 543 csPCa lesions across 468 male subjects and used the Mann-Whitney U test to assess differences in key features.

Results: csPCa lesions located at anterior and TZ prostate regions had significantly larger shape-based features and significantly smaller first-order features than posterior and PZ regions, respectively.

Impact: For patients with csPCa, significant radiomics features extracted from mpMRI lesions in the anterior and transition zone prostate regions show significantly larger shape-based features and significantly smaller first-order features than csPCa lesions in the posterior and peripheral zone regions, respectively.

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