MP19-07 THREE-DIMENSIONAL EVALUATION OF PERIRENAL ADIPOSE TISSUE VOLUME PREDICTS RENAL CORTICAL NEOPLASM HISTOPATHOLOGY (2016)

You have accessJournal of UrologyImaging/Radiology: Uroradiology III1 Apr 2016MP19-07 THREE-DIMENSIONAL EVALUATION OF PERIRENAL ADIPOSE TISSUE VOLUME PREDICTS RENAL CORTICAL NEOPLASM HISTOPATHOLOGY Austin Drysch, Zhamshid Okhunov, Albert Yang, Cyrus Khoyliar, Mary Bozoghlanian, Helen Kim, Mohammad Helmy, Ralph Clayman, and Jaime Landman Austin DryschAustin Drysch More articles by this author , Zhamshid OkhunovZhamshid Okhunov More articles by this author , Albert YangAlbert Yang More articles by this author , Cyrus KhoyliarCyrus Khoyliar More articles by this author , Mary BozoghlanianMary Bozoghlanian More articles by this author , Helen KimHelen Kim More articles by this author , Mohammad HelmyMohammad Helmy More articles by this author , Ralph ClaymanRalph Clayman More articles by this author , and Jaime LandmanJaime Landman More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.2755AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Contemporary imaging technology allows for three-dimensional (3D) visualization of human anatomy. Volumetric data acquisition allows for 3D imaging and accurate estimation of organ sizes and volumes. Visceral and perirenal adipose tissue (PAT) have been shown to be metabolically active. Previously, we have demonstrated that linear two-dimensional PAT measurements are associated with more aggressive renal cell carcinoma (RCC) subtypes. In this study, we evaluated total PAT volume as a predictor of renal tumor histopathology using novel 3D imaging software. METHODS We retrospectively evaluated patients who underwent laparoscopic radical or partial nephrectomy for renal cortical neoplasms (RCN). We measured the PAT volume through post-processing of preoperative CT images using Vitrea software (Vital Images, Inc., Minnetonka, MN). We measured the total perirenal space volume by manual contouring. We subtracted out the structures with densities greater than adipose tissue using organ segmentation, thereby yielding only a total PAT volume. We recorded and analyzed demographic, clinical and operative parameters, PAT volume, and their association with tumor histopathology. RESULTS In this pilot analysis, a total of 102 patients with 104 tumors were included: 50 (49%) men and 52 (51%) women with a median body mass index (BMI) of 28.5 kg/m2. The median tumor size for overall cohort was 2.7 cm (0.9-4.4 cm), and the median PAT volume was 395.4 cm3. Mean PAT for malignant and benign histopathology was 436.7 cm3 and 269.3 cm3 respectively (p=0.002). The mean PAT for each subtype showed 396.8, 633.3, 119.8, and 269.3 cm3 for clear cell (n=57), papillary (n=13), chromophobe (n=5), and benign (n=25) tumors, respectively (p=0.000). To date, a total of 42 patients underwent bilateral PAT volume determination. The mean PAT volume was 19.6% higher on the tumor side (p=0.001). CONCLUSIONS In this preliminary pilot analysis, increased PAT volume is a significant predictor of RCC histopathology for small RCN. Similarly, there was a significant direct correlation for tumor laterality and PAT volume versus the contralateral kidney for the individual patient. Further data is being collected. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e206 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Austin Drysch More articles by this author Zhamshid Okhunov More articles by this author Albert Yang More articles by this author Cyrus Khoyliar More articles by this author Mary Bozoghlanian More articles by this author Helen Kim More articles by this author Mohammad Helmy More articles by this author Ralph Clayman More articles by this author Jaime Landman More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...