You have accessJournal of UrologyImaging/Radiology: Uroradiology III1 Apr 2016MP19-01 MULTISPECTRAL PHOTOACOUSTIC IMAGING DIFFERENTIATES RENAL CELL CARCINOMA FROM ONCOCYTOMA Lorraine Liang, Bhargava Chinni, Jerome Jean-Gilles, Edward Messing, Guan Wu, Navalgund Rao, and Vikram Dogra Lorraine LiangLorraine Liang More articles by this author , Bhargava ChinniBhargava Chinni More articles by this author , Jerome Jean-GillesJerome Jean-Gilles More articles by this author , Edward MessingEdward Messing More articles by this author , Guan WuGuan Wu More articles by this author , Navalgund RaoNavalgund Rao More articles by this author , and Vikram DograVikram Dogra More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.2749AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Multispectral Photoacoustic Imaging (MPI) is a hybrid technology that combines pulsed laser and ultrasound to create a contrasted image that differentiates malignant from benign tissues based on the optical absorption values of deoxyhemoglobin and oxyhemoglobin. This technology has been used to differentiate malignant from benign tissues in breast, thyroid and prostate cancers. The objective of this study is to investigate whether ex-vivo MPI can differentiate RCC from oncocytoma. Since oncocytoma can be safely enucleated, identifying that a renal mass is benign intraoperatively can prevent unnecessary nephron loss in patients undergoing surgery for small renal masses (SRMs). METHODS Patients scheduled to undergo partial or radical nephrectomy with suspicion for renal cell cancer were consented for our study. Immediately following surgery, MPI was performed on excised kidney specimens. Chromophore photoacoustic images that represent optical absorption of deoxyhemoglobin (760 nm), oxyhemoglobin (850 nm), lipid (930 nm) and water (970 nm) were obtained. RCC, oncocytoma, and normal regions were marked by the pathologist on histopathology slides and digital images of marked histopathology slides were co-registered with chromophore photoacoustic images (See Figures 1 and 2). Mean intensity values (MIV), corresponding to the optical absorption of each chromophore, were then determined for RCC, oncocytoma, and normal tissue regions. RESULTS A total of 29 patients were enrolled. Seven oncocytomas and 22 RCCs were evaluated. Six out of seven oncocytomas and 19 out of 22 RCCs were correctly identified using MPI. The sensitivity and specificity of our MPI were 85.7% and 86.4%, respectively, for detecting oncocytoma and 86.4% and 85.7% for detecting RCC using our current system. CONCLUSIONS Our ex-vivo MPI system demonstrates reasonable sensitivity and specificity for differentiating RCC from oncocytoma. More studies are needed to further evaluate the value of this technology in real-time. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e203 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Lorraine Liang More articles by this author Bhargava Chinni More articles by this author Jerome Jean-Gilles More articles by this author Edward Messing More articles by this author Guan Wu More articles by this author Navalgund Rao More articles by this author Vikram Dogra More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...