PD11-02 DEVELOPMENT AND APPLICATION OF A DIGITAL IMAGE ANALYSIS CLASSIFIER FOR DIAGNOSTIC PROSTATE NEEDLE BIOPSIES TO PREDICT METASTASES

INTRODUCTION AND OBJECTIVES:Conventional histological analysis cannot differentiate diagnostic prostate needle biopsies (PNBX) from patients with localized disease (stage M0) versus those with de novo metastases (stage M1). Digital image analysis (DIA) is a new precision medicine platform that shows promise in advancing diagnostic histopathology. Our team has developed and deployed a novel DIA risk of metastasis (RoM) classifier that systematically interrogates standard-of-care PNBX slides to determine M-stage and likelihood of clinical metastatic progression.METHODS:We collected diagnostic PNBX from 163 prostate cancer cases (85 M0 and 78 M1) that contained high grade cancer foci. Pathological annotation was performed by two independent pathologists. Following slide digitization at 40X, image tiles (approximately 30 image tiles per case, n = 6,501) were used to extract 62 handcrafted (HC) and 64 autoencoder (AE) nuclear features, as well as 1,234 tissue-based (TI) features. A Z-score normalization of fea...