Mp02-14 Voxel Level Radiologic-pathologic Validation of Restriction Spectrum Imaging With Gleason Grade in Prostate Cancer
Year: 2016
Type: article
Abstract: You have accessJournal of UrologyProstate Cancer: Markers I1 Apr 2016MP02-14 VOXEL LEVEL RADIOLOGIC-PATHOLOGIC VALIDATION OF RESTRICTION SPECTRUM IMAGING WITH GLEASON GRADE IN PROSTATE CANCER Natalie Schenker-Ahmed, Ghiam Yamin, Ahmed Shabaik, Dennis Adams, Hauke Bartsch, Joshua Kuperman, Nathan White, Rebecca Rakow-Penner, Kevin McCammack, J Kellogg Parsons, Christopher Kane, Anders Dale, and David Karow Natalie Schenker-AhmedNatalie Schenker-Ahmed More articles by this author , Ghiam YaminGhiam Yamin More articles by this author , Ahmed ShabaikAhmed Shabaik More articles by this author , Dennis AdamsDennis Adams More articles by this author , Hauke BartschHauke Bartsch More articles by this author , Joshua KupermanJoshua Kuperman More articles by this author , Nathan WhiteNathan White More articles by this author , Rebecca Rakow-PennerRebecca Rakow-Penner More articles by this author , Kevin McCammackKevin McCammack More articles by this author , J Kellogg ParsonsJ Kellogg Parsons More articles by this author , Christopher KaneChristopher Kane More articles by this author , Anders DaleAnders Dale More articles by this author , and David KarowDavid Karow More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1886AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Restriction spectrum imaging (RSI-MRI), a diffusion imaging technique, may be able to circumvent current limitations in tumor conspicuity, in-vivo characterization, and location demonstrated by multiparametric magnetic resonance imaging techniques in prostate cancer (PCa) detection. Prior reports show that the quantitative signal derived from RSI-MRI, the cellularity index, is associated with aggressive PCa as measured by Gleason grade (GG). We evaluated the reliability of RSI-MRI to predict variance with GG at the voxel-level within clinically demarcated PCa regions. METHODS Ten cases were processed using whole mount sectioning after prostatectomy. Tumors were marked by an uropathologist. Stained prostate sections were scanned at high resolution (75 μm/pixel). A grid of tiles corresponding to voxel dimensions was graded using the GG system. RSI-MRI cellularity index was calculated from presurgical MR scans and presented as z-score maps, which were transformed to the size and shape of the stained sections to adjust for deformation that occurred during tissue processing. In total, 2,795 tiles were analyzed and compared with RSI-MRI cellularity. RESULTS RSI-MRI cellularity index was found to distinguish between PCa and benign tumor (t=25.48, p<0.00001). Significant differences were also found between benign tissue and PCa classified as low grade (GG=3; t=11.56, p<0.001) or high grade (GG≥4 t=24.03, p<0.001). Furthermore, RSI-MRI differentiated between low and high grade PCa (t=3.23, p=0.003). CONCLUSIONS Building on our previous findings of correlation between GG and the RSI-MRI among whole tumors, this study shows a similar correlation within tumors. This relationship means that RSI-MRI can be used in active surveillance to non-invasively detect high-grade cancer and affect staging and treatment. Because it can detect variations in tumor grade with voxel-level precision, RSI-MRI may have particular relevance for planning targeted procedures where identifying the areas of most aggressive disease is critical. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e15 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Natalie Schenker-Ahmed More articles by this author Ghiam Yamin More articles by this author Ahmed Shabaik More articles by this author Dennis Adams More articles by this author Hauke Bartsch More articles by this author Joshua Kuperman More articles by this author Nathan White More articles by this author Rebecca Rakow-Penner More articles by this author Kevin McCammack More articles by this author J Kellogg Parsons More articles by this author Christopher Kane More articles by this author Anders Dale More articles by this author David Karow More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
Source: The Journal of Urology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2321931192