TY - GEN
T1 - Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging
AU - Fei, Baowei
AU - Lu, Guolan
AU - Wang, Xu
AU - Zhang, Hongzheng
AU - Little, James V.
AU - Magliocca, Kelly R.
AU - Chen, Amy Y.
N1 - Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Hyperspectral imaging
KW - cancer detection
KW - fluorescence imaging
KW - head and neck cancer
KW - image classification
KW - image quantification
KW - image-guided surgery
KW - label free
KW - tumor margin assessment
UR - http://www.scopus.com/inward/record.url?scp=85018915212&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018915212&partnerID=8YFLogxK
U2 - 10.1117/12.2249803
DO - 10.1117/12.2249803
M3 - Conference contribution
C2 - 30294063
AN - SCOPUS:85018915212
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
A2 - Grundfest, Warren S.
A2 - Vo-Dinh, Tuan
A2 - Mahadevan-Jansen, Anita
PB - SPIE
T2 - Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV
Y2 - 29 January 2017 through 31 January 2017
ER -