978 DISCRIMINATION OF RENAL CELL CARCINOMA FROM NORMAL RENAL PARENCHYMA USING RAMAN SPECTROSCOPY

Abstract

You have accessJournal of UrologyKidney Cancer: Evaluation and Staging III1 Apr 2012978 DISCRIMINATION OF RENAL CELL CARCINOMA FROM NORMAL RENAL PARENCHYMA USING RAMAN SPECTROSCOPY Eric Yi-Hsiu Huang, Ying-Hsiang Liao, Alex T.L. Lin, and Huihua Kenny Chiang Eric Yi-Hsiu HuangEric Yi-Hsiu Huang Taipei, Taiwan More articles by this author , Ying-Hsiang LiaoYing-Hsiang Liao Taipei, Taiwan More articles by this author , Alex T.L. LinAlex T.L. Lin Taipei, Taiwan More articles by this author , and Huihua Kenny ChiangHuihua Kenny Chiang Taipei, Taiwan More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1078AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Nephron-sparing surgery (NSS) has become popular as the diagnosis of small renal tumor increases in recent years. The intraoperative determination of surgical margin is critical for NSS. Frozen section examination of the partial nephrectomy (PN) bed tissue is the preferred method now. However, there are limitations for frozen section. Hence, there is a need of searching an alternative or assisted tool for determining surgical margin during NSS. Raman spectroscopy (RS) is a spectrum produced by molecular inelastic scattering of light. It is directly related to the molecular composition of the tissue. The acquisition of Raman spectrum is fast and near real-time. As such, it is reasonable to use RS for differentiation of renal cancerous tissue from normal parenchyma. The objective of this study is to attest the feasibility of using RS to discriminate renal cancerous tissue from normal renal parenchyma. METHODS The tissues for analysis were from an IRB approved tissue bank. Three specimens were selected for each subtype of RCC including clear cell, papillary, and chromophobe. The corresponding normal renal parenchymal tissues were also analyzed. The pathological diagnosis of each RCC specimen was re-confirmed by pathologists. Fresh frozen sliced tissues were used for Raman spectra detection. He-Ne Laser with 632.8 nm wavelength, 20 mW, was used for excitation of the tissue. The spectra between RCC and normal renal parenchyma were compared. RESULTS There are total 38 RCC spectra and 31 normal renal parenchyma spectra for comparison. All the spectra showed the characteristic peak at 1002 cm−1 for phenylalanine, and whose intensity was used for the normalization of the spectra. RCC can be differentiated from normal renal parenchyma by the peak intensity at 1302 cm−1 (Fig). After further analysis using Partial Least Squares program, the sensitivity and specificity for discriminating RCC from renal parenchyma can be as high as 97% and 95%. CONCLUSIONS This study demonstrated that the discrimination of RCC from normal renal parenchyma using RS is feasible. The sensitivity and specificity is close to 95%. With the advantages of real-time detection and objective assessment of the tissue, we may apply this technique to aid in the intraoperative surgical margin determination for NSS in the near future. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e398 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Eric Yi-Hsiu Huang Taipei, Taiwan More articles by this author Ying-Hsiang Liao Taipei, Taiwan More articles by this author Alex T.L. Lin Taipei, Taiwan More articles by this author Huihua Kenny Chiang Taipei, Taiwan More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...