期刊
EUROPEAN UROLOGY
卷 59, 期 1, 页码 106-112出版社
ELSEVIER
DOI: 10.1016/j.eururo.2010.10.027
关键词
Raman spectroscopy; Bladder cells; Cancer
资金
- Western Pennsylvania Prostate Cancer Foundation
Background: Raman molecular imaging (RMI) is an optical technology that combines the molecular chemical analysis of Raman spectroscopy with high-definition digital microscopic visualization. This approach permits visualization of the physical architecture and molecular environment of cells in the urine. The Raman spectrum of a cell is a complex product of its chemical bonds. Objective: In this work, we studied the possibility of using the Raman spectrum of epithelial cells in voided urine for diagnosing urothelial carcinoma (UC). Design, setting, and participants: Raman signals were obtained from UC tissue, then from UC touch preps obtained from surgical specimens and studied using the FALCON microscope (ChemImage, Pittsburgh, PA, USA), with a x 100 collection objective and green laser illumination (532 nm). Then, urine samples were obtained from 340 patients, including 116 patients without UC, 92 patients with low-grade tumors, and 132 patients with high-grade tumors. Spectra were obtained from an average of five cells per slide. Measurements: Raman spectroscopy of cells from bladder cancer (BCa) tissues and patients. Results and limitations: The Raman spectra from UC tissue demonstrate a distinct peak at a 1584 cm(-1) wave shift not present in benign tissues. The height of this peak correlated with the tumor's grade. The signal obtained from epithelial cells correctly diagnosed BCa with sensitivity of 92% (100% of the high-grade tumors), specificity of 91%, and a positive predictive value of 94% and a negative predictive value of 88%. The signal correctly assigned a tumor's grade in 73.9% of the low-grade tumors and 98.5% of the high-grade tumors. RMI for diagnosis of BCa is limited by the need for specialized equipment and training of laboratory personnel. Conclusions: RMI has the potential to become a powerful diagnostic tool that allows noninvasive, accurate diagnosis of UC. (C) 2010 European Association of Urology. Published by Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据