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Proceedings Paper

Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging
Author(s): Baowei Fei; Guolan Lu; Xu Wang; Hongzheng Zhang; James V. Little; Kelly R. Magliocca; Amy Y. Chen
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Paper Abstract

We are developing label-free hyperspectral imaging (HSI) for tumor margin assessment. HSI data, hypercube (x,y,λ), consists of a series of high-resolution images of the same field of view that are acquired at different wavelengths. Every pixel on the HSI image has an optical spectrum. We developed preprocessing and classification methods for HSI data. We used spectral features from HSI data for the classification of cancer and benign tissue. We collected surgical tissue specimens from 16 human patients who underwent head and neck (H&N) cancer surgery. We acquired both HSI, autofluorescence images, and fluorescence images with 2-NBDG and proflavine from the specimens. Digitized histologic slides were examined by an H&N pathologist. The hyperspectral imaging and classification method was able to distinguish between cancer and normal tissue from oral cavity with an average accuracy of 90±8%, sensitivity of 89±9%, and specificity of 91±6%. For tissue specimens from the thyroid, the method achieved an average accuracy of 94±6%, sensitivity of 94±6%, and specificity of 95±6%. Hyperspectral imaging outperformed autofluorescence imaging or fluorescence imaging with vital dye (2-NBDG or proflavine). This study suggests that label-free hyperspectral imaging has great potential for tumor margin assessment in surgical tissue specimens of H&N cancer patients. Further development of the hyperspectral imaging technology is warranted for its application in image-guided surgery.

Paper Details

Date Published: 14 February 2017
PDF: 8 pages
Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100540E (14 February 2017); doi: 10.1117/12.2249803
Show Author Affiliations
Baowei Fei, Emory Univ. (United States)
Georgia Institute of Technology (United States)
Winship Cancer Institute (United States)
Guolan Lu, Georgia Institute of Technology (United States)
Emory Univ. (United States)
Xu Wang, Emory Univ. (United States)
Hongzheng Zhang, Emory Univ. (United States)
James V. Little, Emory Univ. (United States)
Kelly R. Magliocca, Emory Univ. (United States)
Amy Y. Chen, Emory Univ. (United States)


Published in SPIE Proceedings Vol. 10054:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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