About this item:

10 Views | 3 Downloads

Author Notes:

Corresponding author: Baowei Fei , bfei@emory.edu, Website: https://fei-lab.org/baowei-fei/.

Subjects:

Research Funding:

This research is supported in part by NIH grants (CA176684, R01CA156775, and CA204254) and by Developmental Funds from the Winship Cancer Institute of Emory University under award number P30CA138292.

Keywords:

  • Science & Technology
  • Technology
  • Physical Sciences
  • Engineering, Biomedical
  • Optics
  • Engineering
  • Hyperspectral imaging
  • image-guided surgery
  • tumor margin assessment
  • cancer detection
  • image classification
  • image quantification
  • head and neck cancer
  • label free
  • fluorescence imaging
  • RESECTION MARGINS
  • HEAD
  • SURGERY
  • SAFETY
  • NAVIGATION
  • ACCURACY
  • SURVIVAL
  • SYSTEM

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

Tools:

Journal Title:

Proceedings of SPIE

Volume:

Volume 10054

Publisher:

Type of Work:

Article | Post-print: After Peer Review

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.

Copyright information:

© 2017 SPIE.

Export to EndNote