MP38-11 PROSTATE CANCER VOLUME ON 3-TESLA MULTIPARAMETRIC DIFFERENT SEQUENCES: CORRELATED AND VERIFIED ON WHOLE MOUNT HISTOPATHOLOGY SECTIONED WITH 3D-PRINTED CUSTOM-DESIGNED MOLDS (2017)

You have accessJournal of UrologyProstate Cancer: Detection & Screening IV1 Apr 2017MP38-11 PROSTATE CANCER VOLUME ON 3-TESLA MULTIPARAMETRIC DIFFERENT SEQUENCES: CORRELATED AND VERIFIED ON WHOLE MOUNT HISTOPATHOLOGY SECTIONED WITH 3D-PRINTED CUSTOM-DESIGNED MOLDS Pooria Khoshnoodi, Sepideh Shakeri, Alan Priester, Nazanin Asvadi, Ashkan Shademan, Leila Mostafavi, Ely Felker, Daniel Margolis, Anthony Sisk, Robert Reiter, and Steven Raman Pooria KhoshnoodiPooria Khoshnoodi More articles by this author , Sepideh ShakeriSepideh Shakeri More articles by this author , Alan PriesterAlan Priester More articles by this author , Nazanin AsvadiNazanin Asvadi More articles by this author , Ashkan ShademanAshkan Shademan More articles by this author , Leila MostafaviLeila Mostafavi More articles by this author , Ely FelkerEly Felker More articles by this author , Daniel MargolisDaniel Margolis More articles by this author , Anthony SiskAnthony Sisk More articles by this author , Robert ReiterRobert Reiter More articles by this author , and Steven RamanSteven Raman More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.1164AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES To evaluate Prostate Cancer (CaP) tumor volume (TV) of regions of interest (ROI) on prostate multiparametric magnetic resonance imaging (MP-MRI) (TVm) with concordant foci TV on whole mount histopathology (WMHP) (TVh), stratified by Gleason score (GS) and MP-MRI Prostate Imaging Reporting and Data system version 2 (PI-RADSv2) assessment. METHODS A HIPAA-compliant, IRB-approved study of 105 men who underwent 3Tesla (3T) prostate MP-MRI before robotic radical prostatectomy was performed. Suspicious regions of interest (ROIs) were contoured on MRI and PI-RADSv2 was assigned per suspicious ROI. TVT2, TVDCE and TVDWI was calculated by delineation of suspicious tumor on T2-weighted, Dynamic Contrast Enhancement and Diffusion Weighted Imaging pulse sequences. A 3D patient-specific mold was printed to precisely fit the excised prostate based on MRI prostate segmentation. A pathologist contoured each tumor on all WMHP slides and graded the tumor by GS system. Custom software automatically imported the annotated contoured WMHP slides, reconstructed the tumors in 3D, and calculated the TVh. Spearman correlation coefficient(r) was calculated to determine strength of association between volumes of concordant lesion foci on each MRI and WMHP. Spearman correlation and Wilcoxon rank sum test were used. P-values<0.05 were considered significant. RESULTS In 105 patients, 132 CaP foci (including 103 index tumors) on WMHP matched with MRI ROIs concordantly. Of 132 CaP foci GS was ≤6(3+3) in 24 (18.2%) and ≥7(3+4) in 108 (82.8%). PI-RADS was normal or mild suspicious(1-2) in 11(8.3%), 3 in 37 (28%), 4 in 48 (34.4%), and 5 in 36(27.3%). The median (IQR) of TVh, TVT2, TVDCE and TVDWI were 1.1cc (0.5-3.1), 1.3cc (0.8-2.7), 1.6cc (1-2.8) and 1.4cc (0.6-2.7) respectively. The r between TVh and TVT2, TVDCE and TVDWI was 0.53, 0.42 and 0.42 in all tumors,and 0.52, 0.47 and 0.53 in GS≥7(3+4) tumors respectively . The r between TVh and TVT2 was 0.33, 0.55 and 0.61 in PI-RADS 3, 4 and 5 lesions retrospectively. The r between TVh and TVDCE was 0.38,0.28 and 0.67 in PI-RADS 3,4 and 5 retrospectively. The r between TVh and TVDWI was 0.26, 0.40 and 0.61 in PI-RADS 3, 4 and 5 retrospectively (p<0.001). CONCLUSIONS Tumor volume on pathology (TVh) correlates with corresponding tumor volumes on 3T MP-MRI pulse sequences (TVT2, TVDWI and TVDCE) and it is stronger in high grade tumors and in tumors with higher PI-RADSv2. However, tumor volume on T2 (TVT2) consistently demonstrates the strongest correlation with pathology tumor volume (TVh). © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e488 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Pooria Khoshnoodi More articles by this author Sepideh Shakeri More articles by this author Alan Priester More articles by this author Nazanin Asvadi More articles by this author Ashkan Shademan More articles by this author Leila Mostafavi More articles by this author Ely Felker More articles by this author Daniel Margolis More articles by this author Anthony Sisk More articles by this author Robert Reiter More articles by this author Steven Raman More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...