Literature DB >> 12584746

Optimal excitation-emission wavelengths for autofluorescence diagnosis of bladder tumors.

Wei Zheng1, Weber Lau, Christopher Cheng, Khee Chee Soo, Malini Olivo.   

Abstract

Tissue autofluorescence depends on endogenous fluorophores in the tissue, which undergo a change associated with malignant transformation. This change can be detected as an alteration in the spectral profile and intensity of autofluorescence. Our purpose was to determine the optimal excitation and emission wavelengths for autofluorescence diagnosis of bladder cancer. A total of 52 bladder tissue specimens were obtained from 25 patients undergoing mucosal biopsies or surgical resections of bladder tumors. Light-induced autofluorescence measurements were performed to study the spectroscopic differences between normal and malignant bladder tissue. Fluorescence excitation wavelengths varying from 220 to 500 nm were used to induce tissue autofluorescence, and emission spectra were measured in the 280-700 nm range. These spectra were then combined to construct 2-dimensional fluorescence excitation-emission matrices (EEMs). Significant changes in fluorescence intensity of EEMs were observed between normal and tumor bladder tissues, the most marked differences being at the excitation wavelengths of 280 and 330 nm. The diagnostic algorithm based on the combination of the fluorescence peak intensity ratios of I(350)/I(470) at 280 nm excitation and I(390)/I(470) at 330 nm excitation yielded a sensitivity of 100% [95% confidence interval (CI) 0.95-1.0] and specificity of 100% (95% CI 0.90-1.0). The results of the present fluorescence EEM study demonstrate that autofluorescence spectroscopy can distinguish malignant from normal bladder tissue and that excitation wavelengths of 280 and 330 nm are the most significant for differentiation between normal and malignant bladder mucosae with a high degree of diagnostic accuracy. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12584746     DOI: 10.1002/ijc.10959

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  6 in total

1.  Color-matched and fluorescence-labeled esophagus phantom and its applications.

Authors:  Chenying Yang; Vivian Hou; Leonard Y Nelson; Eric J Seibel
Journal:  J Biomed Opt       Date:  2013-02       Impact factor: 3.170

2.  Strategies for high-resolution imaging of epithelial ovarian cancer by laparoscopic nonlinear microscopy.

Authors:  Rebecca M Williams; Andrea Flesken-Nikitin; Lora Hedrick Ellenson; Denise C Connolly; Thomas C Hamilton; Alexander Yu Nikitin; Warren R Zipfel
Journal:  Transl Oncol       Date:  2010-06-01       Impact factor: 4.243

3.  Detection of urinary bladder cancer cells using redox ratio and double excitation wavelengths autofluorescence.

Authors:  Scott Palmer; Karina Litvinova; Edik U Rafailov; Ghulam Nabi
Journal:  Biomed Opt Express       Date:  2015-02-25       Impact factor: 3.732

4.  Wide-field autofluorescence-guided TUR-B for the detection of bladder cancer: a pilot study.

Authors:  Maximilian C Kriegmair; P Honeck; M Theuring; C Bolenz; M Ritter
Journal:  World J Urol       Date:  2017-12-06       Impact factor: 4.226

5.  Optical Signatures Derived From Deep UV to NIR Excitation Discriminates Healthy Samples From Low and High Grades Glioma.

Authors:  Hussein Mehidine; Audrey Chalumeau; Fanny Poulon; Frédéric Jamme; Pascale Varlet; Bertrand Devaux; Matthieu Refregiers; Darine Abi Haidar
Journal:  Sci Rep       Date:  2019-06-19       Impact factor: 4.379

6.  Fluorescence multispectral imaging-based diagnostic system for atherosclerosis.

Authors:  Cassandra Su Lyn Ho; Toshikatsu Horiuchi; Hiroaki Taniguchi; Araya Umetsu; Kohsuke Hagisawa; Keiichi Iwaya; Kanji Nakai; Amalina Azmi; Natasha Zulaziz; Azran Azhim; Nariyoshi Shinomiya; Yuji Morimoto
Journal:  Biomed Eng Online       Date:  2016-08-20       Impact factor: 2.819

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.