MP22-12 MAGNETIC RESONANCE IMAGING FEATURES ASSOCIATED WITH HISTOLOGY OF BENIGN PROSTATIC HYPERPLASIA NODULES: A PREDICTIVE MODEL

Abstract

You have accessJournal of UrologyImaging/Radiology: Uroradiology II (MP22)1 Sep 2021MP22-12 MAGNETIC RESONANCE IMAGING FEATURES ASSOCIATED WITH HISTOLOGY OF BENIGN PROSTATIC HYPERPLASIA NODULES: A PREDICTIVE MODEL Jessica Dai, Tara Morgan, Ramy Goueli, Daniel Parrott, Douglas Strand, Daniel Costa, Claus Roehrborn, and Jeffrey Gahan Jessica DaiJessica Dai More articles by this author , Tara MorganTara Morgan More articles by this author , Ramy GoueliRamy Goueli More articles by this author , Daniel ParrottDaniel Parrott More articles by this author , Douglas StrandDouglas Strand More articles by this author , Daniel CostaDaniel Costa More articles by this author , Claus RoehrbornClaus Roehrborn More articles by this author , and Jeffrey GahanJeffrey Gahan More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002013.12AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Histologic phenotypic variation of benign prostatic hyperplasia (BPH) has been previously described and is hypothesized to underlie response to medical therapy. In this study, we evaluate pre-operative magnetic resonance imaging (MRI) of robotic simple prostatectomy (RASP) specimens and determine imaging features associated with histologic phenotype. METHODS: All patients undergoing RASP from 11/2015 to 11/2019 with multiparametric MRI ≤1 year before surgery were included. Those with no obvious BPH nodules on histologic specimens were excluded. Histology slides and corresponding MRI were reviewed independently by a blinded cell biology Ph.D. and radiologist, respectively. Each nodule was assigned a phenotypic score on a 5-point Likert scale (1=predominantly glandular, 5=predominantly stromal). Scores were compared using the sign test and univariate analysis. Signal intensity relative to transition zone and nodule texture were noted on T2, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced imaging (DCE) sequences (Figure 1). Univariate and multiple stepwise linear regression analysis were conducted to identify MRI features associated with histology score. All analyses were performed using Statistical Analysis System (SAS v 9.4). RESULTS: 99 prostate nodules in 29 patients were included. Median phenotypic scores by histology and MRI were comparable (2, IQR 2-3 vs. 2, IQR 2-4, respectively; p=0.63). Histology scores were positively associated with MRI scores on univariate analysis (p <0.0001). Multiple stepwise linear regression analysis showed apparent diffusion coefficient (ADC) low signal intensity and DCE wash-in to be positively associated with more stromal histology score, and ADC SD, DCE wash-out, and heterogeneous T2 texture to be negatively associated with more stromal histology score (Table 1). CONCLUSIONS: There is strong correlation between MRI features and the histologic phenotype of BPH nodules. MRI may provide a non-invasive method to determine underlying BPH nodule histology. Source of Funding: DK115477 (DWS) © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e395-e396 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jessica Dai More articles by this author Tara Morgan More articles by this author Ramy Goueli More articles by this author Daniel Parrott More articles by this author Douglas Strand More articles by this author Daniel Costa More articles by this author Claus Roehrborn More articles by this author Jeffrey Gahan More articles by this author Expand All Advertisement Loading ...