Paper
17 March 2014 Tumor margin detection using optical biopsy techniques
Yan Zhou, Cheng-hui Liu, Jiyou Li, Zhongwu Li, Lixin Zhou, Ke Chen, Yang Pu, Yong He, Ke Zhu, Qingbo Li, Robert R. Alfano
Author Affiliations +
Proceedings Volume 8940, Optical Biopsy XII; 894014 (2014) https://doi.org/10.1117/12.2038723
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
The aim of this study is to use the Resonance Raman (RR) and fluorescence spectroscopic technique for tumor margin detection with high accuracy based on native molecular fingerprints of breast and gastrointestinal (GI) tissues. This tumor margins detection method utilizes advantages of RR spectroscopic technique in situ and in real-time to diagnose tumor changes providing powerful tools for clinical guiding intraoperative margin assessments and postoperative treatments. The tumor margin detection procedures by RR spectroscopy were taken by scanning lesion from center or around tumor region in ex-vivo to find the changes in cancerous tissues with the rim of normal tissues using the native molecular fingerprints. The specimens used to analyze tumor margins include breast and GI carcinoma and normal tissues. The sharp margin of the tumor was found by the changes of RR spectral peaks within 2 mm distance. The result was verified using fluorescence spectra with 300 nm, 320 nm and 340 nm excitation, in a typical specimen of gastric cancerous tissue within a positive margin in comparison with normal gastric tissues. This study demonstrates the potential of RR and fluorescence spectroscopy as new approaches with labeling free to determine the intraoperative margin assessment.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Zhou, Cheng-hui Liu, Jiyou Li, Zhongwu Li, Lixin Zhou, Ke Chen, Yang Pu, Yong He, Ke Zhu, Qingbo Li, and Robert R. Alfano "Tumor margin detection using optical biopsy techniques", Proc. SPIE 8940, Optical Biopsy XII, 894014 (17 March 2014); https://doi.org/10.1117/12.2038723
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Cited by 7 scholarly publications.
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KEYWORDS
Tissues

Tumors

Cancer

Spectroscopy

Raman spectroscopy

Colon

Breast

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