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Proceedings Paper

SWIR dispersive Raman spectroscopy for discrimination of normal and malignant kidney tissue (Conference Presentation)
Author(s): Miki Haifler; Isaac J. Pence; Amnon Zisman; Robert G. Uzzo; Richard Greenberg; Alexander Kutikov; Marc Smaldone; David Chen; Rosalia Viterbo; Benjamin Ristau; Anita Mahadevan-Jansen; Alexander Dumont; Chetan A. Patil

Paper Abstract

Kidney cancer affects 65,000 new patients every. As computerized tomography became ubiquitous, the number of small, incidentally detected renal masses increased. About 6,000 benign cases are misclassified radiographically as malignant and removed surgically. Raman spectroscopy (RS) has been widely demonstrated for disease discrimination, however intense near-infrared auto-fluorescence of certain tissues (e.g kidney) can present serious challenges to bulk tissue diagnosis. A 1064nm excitation dispersive detection RS system demonstrated the ability to collect spectra with superior quality in tissues with strong auto-fluorescence. Our objective is to develop a 1064 nm dispersive detection RS system capable of differentiating normal and malignant renal tissue. We will report on the design and development of a clinical system for use in nephron sparing surgeries. We will present pilot data that has been collected from normal and malignant ex vivo kidney specimens using a benchtop RS system. A total of 93 measurements were collected from 12 specimens (6 Renal Cell Carcinoma, 6 Normal ). Spectral classification was performed using sparse multinomial logistic regression (SMLR). Correct classification by SMLR was obtained in 78% of the trials with sensitivity and specificity of 82% and 75% respectively. We will present the association of spectral features with biological indicators of healthy and diseased kidney tissue. Our findings indicate that 1064nm RS is a promising technique for differentiation of normal and malignant renal tissue. This indicates the potential for accurately separating healthy and cancerous tissues and suggests implications for utilizing RS for optical biopsy and surgical guidance in nephron sparing surgery.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10038, Therapeutics and Diagnostics in Urology: Lasers, Robotics, Minimally Invasive, and Advanced Biomedical Devices, 100380O (19 April 2017); doi: 10.1117/12.2256617
Show Author Affiliations
Miki Haifler, Fox Chase Cancer Ctr. (United States)
Temple Univ. (United States)
Isaac J. Pence, Vanderbilt Univ. (United States)
Amnon Zisman, Assaf Harofeh Medical Ctr. (Israel)
Robert G. Uzzo, Fox Chase Cancer Ctr. (United States)
Richard Greenberg, Fox Chase Cancer Ctr. (United States)
Alexander Kutikov, Fox Chase Cancer Ctr. (United States)
Marc Smaldone, Fox Chase Cancer Ctr. (United States)
David Chen, Fox Chase Cancer Ctr. (United States)
Rosalia Viterbo, Fox Chase Cancer Ctr. (United States)
Benjamin Ristau, Fox Chase Cancer Ctr. (United States)
Anita Mahadevan-Jansen, Vanderbilt Univ. (United States)
Alexander Dumont, Temple Univ. (United States)
Chetan A. Patil, Temple Univ. (United States)


Published in SPIE Proceedings Vol. 10038:
Therapeutics and Diagnostics in Urology: Lasers, Robotics, Minimally Invasive, and Advanced Biomedical Devices
Hyun Wook Kang; Kin Foong Chan, Editor(s)

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