Quantitative characterization for identification of brain cancer surgical margin using resonance Raman spectroscopy

Yan Zhou; Cheng-hui Liu; Binlin Wu; Xinguang Yu; Gangge Cheng; Chunyuan Zhang; Robert R Alfano

doi:10.1364/FIO.2017.FTu5C.3

Frontiers in Optics 2017
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper FTu5C.3
•https://doi.org/10.1364/FIO.2017.FTu5C.3

Quantitative characterization for identification of brain cancer surgical margin using resonance Raman spectroscopy

Yan Zhou, Cheng-hui Liu, Binlin Wu, Xinguang Yu, Gangge Cheng, Chunyuan Zhang, and Robert R Alfano

Frontiers in Optics 2017

Washington, D.C. United States
18–21 September 2017
ISBN: 978-1-943580-33-0

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Real-time Optical Guidance of Cancer Therapy (FTu5C)

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Y. Zhou, C. Liu, B. Wu, X. Yu, G. Cheng, C. Zhang, and R. R. Alfano, "Quantitative characterization for identification of brain cancer surgical margin using resonance Raman spectroscopy," in Frontiers in Optics 2017, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper FTu5C.3.

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Abstract

A new criterion was developed to characterize brain tissue using resonance Raman spectroscopy, by which, negative margins of cancer can be differentiated from normal tissues. This method may help a surgeon better decide surgical margins.

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