MP81-20 AUTOMATED IMAGE ANALYSIS OF HISTOLOGICALLY BENIGN PROSTATE BIOPSIES PREDICTS CANCER PRESENCE

You have accessJournal of UrologyProstate Cancer: Basic Research & Pathophysiology III (MP81)1 Apr 2019MP81-20 AUTOMATED IMAGE ANALYSIS OF HISTOLOGICALLY BENIGN PROSTATE BIOPSIES PREDICTS CANCER PRESENCE Tyler Etheridge, Adam Schultz, Johnathon McCormick, Shivashankar Damodaran, Bing Yang*, Glenn O. Allen, Wei Huang, Peter LaViolette, and David Jarrard Tyler EtheridgeTyler Etheridge More articles by this author , Adam SchultzAdam Schultz More articles by this author , Johnathon McCormickJohnathon McCormick More articles by this author , Shivashankar DamodaranShivashankar Damodaran More articles by this author , Bing Yang*Bing Yang* More articles by this author , Glenn O. AllenGlenn O. Allen More articles by this author , Wei HuangWei Huang More articles by this author , Peter LaViolettePeter LaViolette More articles by this author , and David JarrardDavid Jarrard More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000557439.15646.cdAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: A field of cancer susceptibility exists for many tumors, including prostate. Here we question whether digital imaging and computer-based analysis can distinguish differences in benign appearing prostate biopsy tissues from men with and without cancer. METHODS: Using an initial training set of 59 patients and a subsequent blinded validation set (116 subjects), we digitally imaged H&E biopsy slides utilizing the VectraTM platform. InForm2.1.1 software quantitatively measured features of epithelial and stroma. Non-tumor associated (NTA) cases underwent â‰¥2 previous negative biopsies and tumor associated (TA) cases all underwent radical prostatectomy. Additional imaging features were analyzed using custom Matlab software. Epithelial cell number was evaluated using immunohistochemistry. RESULTS: Epithelial to stromal area ratio is greater in TA compared to NTA tissues (0.95 versus 0.69, p=0.002) representing a decrease in stromal area. Epithelial to total area for TA versus NTA is higher (44.9% and 38.8% respectively; p=0.0006) generating a predictive AUC of 0.65 (95% CI 0.57-0.74). Independent validation confirms an increase in the epithelial to total area for TA (47.3%) versus NTA (41.8%; p=0.004), and the epithelial to stromal ratios (1.02 versus 0.81, p=0.004; AUC 0.62, 95% CI 0.54-0.70)(Figure). Further analysis demonstrates no changes in epithelial cell number (p=0.7). Other differences include increased epithelial thickness (3.11 versus 2.88 mm, p=0.006) and reduced gland lumen roundness (0.34 versus 0.38, p=0.001) in TA compared to NTA biopsies. Imaging of NTA tissues did not demonstrate differences with age (p=0.4). CONCLUSIONS: This study is the first to report an increase in the epithelial to stromal area and other alterations detectable with computer-based imaging analysis in histologically benign prostate biopsies from men with prostate cancer. These changes may be useful in determining cancer presence. Source of Funding: None. Madison, WI; Milwaukee, WI; Madison, WI© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e1180-e1180 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Tyler Etheridge More articles by this author Adam Schultz More articles by this author Johnathon McCormick More articles by this author Shivashankar Damodaran More articles by this author Bing Yang* More articles by this author Glenn O. Allen More articles by this author Wei Huang More articles by this author Peter LaViolette More articles by this author David Jarrard More articles by this author Expand All Advertisement PDF downloadLoading ...