Mp21-11 Coarse Texture in Contrast-enhanced Ct as a Predictor of Renal Tumor Subtype and Grade
Year: 2020
Type: article
Abstract: You have accessJournal of UrologyKidney Cancer: Localized: Surgical Therapy III (MP21)1 Apr 2020MP21-11 COARSE TEXTURE IN CONTRAST-ENHANCED CT AS A PREDICTOR OF RENAL TUMOR SUBTYPE AND GRADE Nick Heller*, Makinna Oestreich, Arveen Kalapara, Sarah Peterson, Matthew Peterson, Bethany Stai, Sean McSweeney, Jack Rickman, Paul Blake, Ranveer Vasdev, Zach Edgerton, Resha Tejpaul, Subodh Regmi, Nikolaos Papanikolopoulos, and Christopher Weight Nick Heller*Nick Heller* More articles by this author , Makinna OestreichMakinna Oestreich More articles by this author , Arveen KalaparaArveen Kalapara More articles by this author , Sarah PetersonSarah Peterson More articles by this author , Matthew PetersonMatthew Peterson More articles by this author , Bethany StaiBethany Stai More articles by this author , Sean McSweeneySean McSweeney More articles by this author , Jack RickmanJack Rickman More articles by this author , Paul BlakePaul Blake More articles by this author , Ranveer VasdevRanveer Vasdev More articles by this author , Zach EdgertonZach Edgerton More articles by this author , Resha TejpaulResha Tejpaul More articles by this author , Subodh RegmiSubodh Regmi More articles by this author , Nikolaos PapanikolopoulosNikolaos Papanikolopoulos More articles by this author , and Christopher WeightChristopher Weight More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000854.011AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The radiographic characterization of renal masses is a promising direction toward improved risk stratification and treatment planning. A2016 exploratory study identified coarse kidney tumor texture in CT correlated with non-clear cell and low-grade histology, where coarse texture was quantified by the variance of responses to a Laplacian filter over the largest axial view of the tumor at a characteristic spatial scale of 6mm. We reproduced this study in our own cohort of patients to test its external validity, and we added tumor size to our model to probe texture’s utility given this known covariate of tumor histology. METHODS: We conducted a retrospective review of patients who underwent nephrectomy at our center between 2010 and 2018. We excluded cases which did not have imaging available in the corticomedullary phase as well as those with tumor thrombus. We then manually delineated the tumors in these images and collected the ISUP grade, histologic subtype, and tumor diameter from the surgical pathology report. We implemented an algorithm to compute this texture descriptor given the imaging and delineation, and we used logistic regression for analysis. RESULTS: A total of 544 nephrectomies were performed during the study period and 300 met our inclusion criteria. Patients in our cohort had a median age of 60 and median tumor diameter was 4.2cm. 112 of the 300 were treated with partial nephrectomy, and the rest were treated with radical nephrectomy. Clear cell Renal Cell Carcinoma (RCC) represented 67.7% of the cohort, and 66% of cases were low-grade. In univariate models, a larger coarse texture was significantly associated with both non-clear cell (p = 0.040) and low-grade histology (p = 0.023), although the observed effect size was smaller than previously reported. In a multiple regression model with pathologic size, the association with non-clear cell histology remained significant (p = 0.047), but that with low grade histology did not (p = 0.697). CONCLUSIONS: We successfully reproduced the previously reported result that coarse texture in CT is associated with non-clear cell and low-grade histology in renal tumors. Further, our data suggest that size being equal, tumors with a high coarse texture are more likely to be non-clear cell. However, we found no evidence that coarse texture predicts tumor grade after adjusting for tumor size. Source of Funding: NIH Grant:R01CA225435 © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e322-e322 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Nick Heller* More articles by this author Makinna Oestreich More articles by this author Arveen Kalapara More articles by this author Sarah Peterson More articles by this author Matthew Peterson More articles by this author Bethany Stai More articles by this author Sean McSweeney More articles by this author Jack Rickman More articles by this author Paul Blake More articles by this author Ranveer Vasdev More articles by this author Zach Edgerton More articles by this author Resha Tejpaul More articles by this author Subodh Regmi More articles by this author Nikolaos Papanikolopoulos More articles by this author Christopher Weight More articles by this author Expand All Advertisement PDF downloadLoading ...
Source: The Journal of Urology
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3023885803