Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging

Baowei Fei, Guolan Lu, Xu Wang, Hongzheng Zhang, James V. Little, Kelly R. Magliocca, Amy Y. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
EditorsWarren S. Grundfest, Tuan Vo-Dinh, Anita Mahadevan-Jansen
PublisherSPIE
ISBN (Electronic)9781510605497
DOIs
Publication statusPublished - Jan 1 2017
Externally publishedYes
EventAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV - San Francisco, United States
Duration: Jan 29 2017Jan 31 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10054
ISSN (Print)1605-7422

Conference

ConferenceAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
CountryUnited States
CitySan Francisco
Period1/29/171/31/17

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Keywords

  • cancer detection
  • fluorescence imaging
  • head and neck cancer
  • Hyperspectral imaging
  • image classification
  • image quantification
  • image-guided surgery
  • label free
  • tumor margin assessment

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Fei, B., Lu, G., Wang, X., Zhang, H., Little, J. V., Magliocca, K. R., & Chen, A. Y. (2017). Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging. In W. S. Grundfest, T. Vo-Dinh, & A. Mahadevan-Jansen (Eds.), Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV [100540E] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10054). SPIE. https://doi.org/10.1117/12.2249803