2149 USE OF OPTICAL COHERENCE TOMOGRAPHY IMAGING TO DIFFERENTIATE BENIGN AND MALIGNANT RENAL MASSES

Abstract

You have accessJournal of UrologyImaging/Radiology: Uroradiology II1 Apr 20102149 USE OF OPTICAL COHERENCE TOMOGRAPHY IMAGING TO DIFFERENTIATE BENIGN AND MALIGNANT RENAL MASSES Jennifer A. Linehan, Lida P. Hariri, Mitchell H. Sokoloff, Photini S. Rice, Erika R. Bracamonte, Jennifer K. Barton, and Mike M. Nguyen Jennifer A. LinehanJennifer A. Linehan Tucson, AZ More articles by this author , Lida P. HaririLida P. Hariri Boston, MA More articles by this author , Mitchell H. SokoloffMitchell H. Sokoloff Tucson, AZ More articles by this author , Photini S. RicePhotini S. Rice Tucson, AZ More articles by this author , Erika R. BracamonteErika R. Bracamonte Tucson, AZ More articles by this author , Jennifer K. BartonJennifer K. Barton Tucson, AZ More articles by this author , and Mike M. NguyenMike M. Nguyen Tucson, AZ More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.2250AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Optical coherence tomography (OCT) represents a novel high resolution, real-time, imaging technique which can potentially provide immediate diagnosis of renal neoplasms. OCT generates cross sectional images using near infrared light and can be built into handheld, laparoscopic, and needle probes. OCT has not been utilized to image renal neoplasms to date. We sought to assess the feasibility of using OCT to differentiate normal and neoplastic renal tissue. METHODS 20 subjects undergoing radical or partial nephrectomy for suspected malignancy participated in the study. After surgical resection, specimens were sampled with tissue obtained from neoplastic areas and matched adjacent normal parenchyma. Samples were evaluated using a custom OCT system with a lateral resolution of 10 um, an axial resolution of 4 um, and a depth of penetration of 2mm using an 890 nm wavelength light source. Each sample was then fixed and evaluated using standard light microscopy. Assessment of the ability of OCT to differentiate neoplastic from normal tissue, different subtypes of renal malignancies, and benign versus malignant neoplasms was performed. RESULTS Pathologic subtypes included 8 clear cell, 3 papillary, and 2 chromophobe renal cancers; 2 oncocytomas; 1 angiomyolipoma (AML); 2 transitional cell cancers (TCC); and 1 well organized hematoma. When evaluated with OCT imaging, benign renal parenchyma had a characteristic homogeneous appearance with recognizable glomeruli and vasculature. Clear cell renal cancer lacked recognizable anatomic elements with a heterogenous appearance depending on the presence of necrotic elements and tumor grade. Subtypes of renal cancer including papillary and chromophobe appeared to vary from clear cell although discrimination was difficult. TCC was easily distinguished. AML demonstrated a unique signature on OCT due to its fat content. Oncocytoma had a lobulated appearance which was characteristic and distinguishable from other renal neoplasms. CONCLUSIONS In this pilot study, OCT imaging for renal neoplasms was most successful in distinguishing AML, oncocytoma, and TCC from normal parenchyma and malignant tumors. Clear cell tumors and other renal cancer subtypes had a more heterogenous appearance and higher resolution versions of OCT may be needed to allow reliable diagnosis. © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e835 Peer Review Report Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jennifer A. Linehan Tucson, AZ More articles by this author Lida P. Hariri Boston, MA More articles by this author Mitchell H. Sokoloff Tucson, AZ More articles by this author Photini S. Rice Tucson, AZ More articles by this author Erika R. Bracamonte Tucson, AZ More articles by this author Jennifer K. Barton Tucson, AZ More articles by this author Mike M. Nguyen Tucson, AZ More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...