MP19-04 CT-BASED VOLUMETRIC CHARACTERIZATION OF RENAL CLEAR CELL CARCINOMA IN VON HIPPEL-LINDAU (VHL) USING NOVEL HISTOGRAM ANALYSIS.

Abstract

You have accessJournal of UrologyImaging/Radiology: Uroradiology III1 Apr 2016MP19-04 CT-BASED VOLUMETRIC CHARACTERIZATION OF RENAL CLEAR CELL CARCINOMA IN VON HIPPEL-LINDAU (VHL) USING NOVEL HISTOGRAM ANALYSIS. Ashkan Malayeri, Amir Pourmorteza, Nikeith Shah, Rabindra Gautam, Alireza Yazdi, Jana Lovell, Shawna Boyle, Ishan Asokan, Ramaprasad Srinivasan, Adam Metwalli, and W. Marston Linehan Ashkan MalayeriAshkan Malayeri More articles by this author , Amir PourmortezaAmir Pourmorteza More articles by this author , Nikeith ShahNikeith Shah More articles by this author , Rabindra GautamRabindra Gautam More articles by this author , Alireza YazdiAlireza Yazdi More articles by this author , Jana LovellJana Lovell More articles by this author , Shawna BoyleShawna Boyle More articles by this author , Ishan AsokanIshan Asokan More articles by this author , Ramaprasad SrinivasanRamaprasad Srinivasan More articles by this author , Adam MetwalliAdam Metwalli More articles by this author , and W. Marston LinehanW. Marston Linehan More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.2752AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Current guidelines for follow-up of renal lesions in vHL are based on unidimensional or two-dimensional measurements with qualitative evaluation of complexity and enhancement of lesions. Here we evaluate the utility of 3D volumetric characterization of lesions and use automated histogram analysis to monitor the evolution of clear cell carcinoma in vHL patients. METHODS 79 lesions in 10 patients were selected by an experienced radiologist for volumetric analysis. Lesions were retrospectively followed between 3 – 8 years. Margins of the lesions were defined manually using a PACS integrated semi-automated tool, while vodlumetric and histogram analysis of lesions were performed in Matlab. Mean, standard deviation, skewness and kurtosis of the entire volume was calculated from the histogram data. The mean was used as an indicator of tumor enhancement. Degree of cystic and solid composition of the lesions was defined based on mean and skewness with tumor heterogeneity being defined as a measure of standard deviation and kurtosis. RESULTS The majority of the lesions were found to be solid [61 out of 79 (77%)]. The volume of 52 lesions increased during the follow-up period while 10 lesions decreased in volume. Remainder of the lesions did not grow or decrease in size during follow-up. 46 lesions were heterogeneous in density with 26 lesions increasing and 5 lesions decreasing in heterogeneity during the course of the follow-up (figure 1). 62 lesions demonstrated hyper enhancement. 32 lesions remained stable in enhancement during the course of follow-up, while 22 lesions showcased increasing enhancement during the same course of time. CONCLUSIONS Volumetric data and histogram analysis provides a more thorough snapshot of tumor development when compared to conventional RECIST measurements. Obtained data can be used as a gateway into the natural history of vHL, based on which, predictive models can be designed for optimal follow-up algorithms. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e204-e205 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Ashkan Malayeri More articles by this author Amir Pourmorteza More articles by this author Nikeith Shah More articles by this author Rabindra Gautam More articles by this author Alireza Yazdi More articles by this author Jana Lovell More articles by this author Shawna Boyle More articles by this author Ishan Asokan More articles by this author Ramaprasad Srinivasan More articles by this author Adam Metwalli More articles by this author W. Marston Linehan More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...