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Real‐time endoscopic Raman spectroscopy for in vivo early lung cancer detection
Author(s) -
McGregor Hanna C.,
Short Michael A.,
McWilliams Annette,
Shaipanich Tawimas,
Ionescu Dia.,
Zhao Jianhua,
Wang Wenbo,
Chen Guannan,
Lam Stephen,
Zeng Haishan
Publication year - 2017
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201500204
Subject(s) - autofluorescence , lung cancer , raman spectroscopy , pathology , carcinoma in situ , bronchoscopy , dysplasia , medicine , lung , in vivo , endoscopy , cancer , carcinoma , radiology , nuclear medicine , biology , fluorescence , optics , physics , microbiology and biotechnology
Currently the most sensitive method for localizing lung cancers in central airways is autofluorescence bronchoscopy (AFB) in combination with white light bronchoscopy (WLB). The diagnostic accuracy of WLB + AFB for high grade dysplasia (HGD) and carcinoma in situ is variable depending on physician's experience. When WLB + AFB are operated at high diagnostic sensitivity, the associated diagnostic specificity is low. Raman spectroscopy probes molecular vibrations and gives highly specific, fingerprint‐like spectral features and has high accuracy for tissue pathology classification. In this study we present the use of a real‐time endoscopy Raman spectroscopy system to improve the specificity. A spectrum is acquired within 1 second and clinical data are obtained from 280 tissue sites (72 HGDs/malignant lesions, 208 benign lesions/normal sites) in 80 patients. Using multivariate analyses and waveband selection methods on the Raman spectra, we have demonstrated that HGD and malignant lung lesions can be detected with high sensitivity (90%) and good specificity (65%).