Literature DB >> 8863546

Laser induced autofluorescence diagnosis of bladder cancer.

F Koenig1, F J McGovern, A F Althausen, T F Deutsch, K T Schomacker.   

Abstract

PURPOSE: We assessed the ability of laser induced autofluorescence to differentiate malignant from nonmalignant bladder lesions.
MATERIALS AND METHODS: We studied 53 patients with bladder cancer undergoing mucosal biopsies or transurethral resection of a bladder tumor. A quartz optical fiber was advanced through the working channel of a cystoscope and placed in gentle contact with the bladder. Tissue fluorescence was excited by 337 nm. light pulses (nitrogen laser). One fiber was used for transmission of the excitation and emission (fluorescence) light. An optical multichannel analyzer system was used to record fluorescence spectra of the sites of interest.
RESULTS: We analyzed the fluorescence spectra of 114 bladder areas (1 carcinoma in situ as well as 28 malignant, 35 inflammatory, 7 dysplastic, 1 squamous metaplastic and 42 normal areas). These lesions included 44 difficult to diagnose suspicious tumors (11 malignant and 33 nonmalignant). We developed an algorithm that used the I385:I455 nm. fluorescence ratio to distinguish malignant from nonmalignant lesions, including inflammatory areas. By analyzing the data on all 114 lesions, we noted the sensitivity, specificity, and positive and negative predictive values of this method for differentiating malignant from nonmalignant bladder lesions to be 97, 98, 93 and 99%, respectively.
CONCLUSIONS: Under excitation with 337 nm. light a clear differentiation between malignant and nonmalignant bladder tissues can be made using the I385:I455 nm. autofluorescence ratio.

Entities:  

Mesh:

Year:  1996        PMID: 8863546

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  11 in total

Review 1.  Fluorescence spectroscopy of neoplastic and non-neoplastic tissues.

Authors:  N Ramanujam
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

Review 2.  Fiberoptic imaging for urologic surgery.

Authors:  Jeremy B Tuttle; William D Steers
Journal:  Curr Urol Rep       Date:  2009-01       Impact factor: 3.092

3.  Detection and evaluation of normal and malignant cells using laser-induced fluorescence spectroscopy.

Authors:  Mohamad E Khosroshahi; Mahya Rahmani
Journal:  J Fluoresc       Date:  2011-09-08       Impact factor: 2.217

4. 

Authors:  C S Betz; A Leunig
Journal:  HNO       Date:  2003-12       Impact factor: 1.284

5.  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

6.  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

Review 7.  Real-time fluorescence image-guided oncologic surgery.

Authors:  Suman B Mondal; Shengkui Gao; Nan Zhu; Rongguang Liang; Viktor Gruev; Samuel Achilefu
Journal:  Adv Cancer Res       Date:  2014       Impact factor: 6.242

Review 8.  New frontier in hypericin-mediated diagnosis of cancer with current optical technologies.

Authors:  Malini Olivo; Chit Yaw Fu; Vijaya Raghavan; Weber Kam On Lau
Journal:  Ann Biomed Eng       Date:  2011-11-29       Impact factor: 3.934

9.  Band-Selection of a Portal LED-Induced Autofluorescence Multispectral Imager to Improve Oral Cancer Detection.

Authors:  Yung-Jhe Yan; Nai-Lun Cheng; Chia-Ing Jan; Ming-Hsui Tsai; Jin-Chern Chiou; Mang Ou-Yang
Journal:  Sensors (Basel)       Date:  2021-05-06       Impact factor: 3.576

10.  Changes in autofluorescence based organoid model of muscle invasive urinary bladder cancer.

Authors:  Scott Palmer; Karina Litvinova; Andrey Dunaev; Stewart Fleming; David McGloin; Ghulam Nabi
Journal:  Biomed Opt Express       Date:  2016-03-07       Impact factor: 3.732

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