MP18-12 DIFFUSION WEIGHTED IMAGING: DIFFERENTIATION OF CLEAR CELL FROM PAPILLARY RENAL CELL CARCINOMA

Abstract

You have accessJournal of UrologyImaging/Radiology: Uroradiology III1 Apr 2017MP18-12 DIFFUSION WEIGHTED IMAGING: DIFFERENTIATION OF CLEAR CELL FROM PAPILLARY RENAL CELL CARCINOMA S. Mojdeh Mirmomen, Moozhan Nikpanah, Rabindra Gautam, Adam Metwalli, Amir Pourmorteza, William Linehan, and Ashkan Malayeri S. Mojdeh MirmomenS. Mojdeh Mirmomen More articles by this author , Moozhan NikpanahMoozhan Nikpanah More articles by this author , Rabindra GautamRabindra Gautam More articles by this author , Adam MetwalliAdam Metwalli More articles by this author , Amir PourmortezaAmir Pourmorteza More articles by this author , William LinehanWilliam Linehan More articles by this author , and Ashkan MalayeriAshkan Malayeri More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.622AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Due to the differences in tumor behavior and prognosis, discriminating different subtypes of renal cell carcinoma (RCC) is important. The purpose of this study was to investigate the role of diffusion weighted imaging (DWI) derived apparent diffusion coefficient (ADC) maps in differentiating clear cell renal carcinoma (ccRCC) from papillary subtype (pRCC). METHODS ADC maps from 97 renal cell carcinoma lesions (20 papillary and 77 clear cell type) from 42 patients were segmented for volumetric and pixel based histogram analysis. Mean, standard deviation, skewness and kurtosis and different quantiles of the histogram were calculated for the segmented lesions. The standard of reference for diagnosis of different types of RCC was histopathology of surgical specimens. Receiver operating characteristic (ROC) analysis was performed for each of the extracted features. RESULTS Amongst all the above mentioned features, the analysis of the quantiles yielded the highest sensitivity and specificity for differentiation of the two subtypes. The ADC range was between 258 to 3407 and 246 to 3686 mm2/sec for pRCC and ccRCC, respectively. Quantile 30 by ADC threshold of 1500 resulted in 96% sensitivity and 84% specificity that provided the highest sensitivity and specificity among the all features. Area under the curve (AUC) was 0.95. CONCLUSIONS Volumetric pixel based analysis of the ADC maps is an objective method that can accurately differentiate pRCC from ccRCC. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e224-e225 Advertisement Copyright & Permissions© 2017MetricsAuthor Information S. Mojdeh Mirmomen More articles by this author Moozhan Nikpanah More articles by this author Rabindra Gautam More articles by this author Adam Metwalli More articles by this author Amir Pourmorteza More articles by this author William Linehan More articles by this author Ashkan Malayeri More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...