TY - JOUR
T1 - Imaging depth variations in hyperspectral imaging
T2 - Development of a method to detect tumor up to the required tumor-free margin width
AU - Kho, Esther
AU - de Boer, Lisanne L.
AU - Post, Anouk L.
AU - van de Vijver, Koen K.
AU - Jóźwiak, Katarzyna
AU - Sterenborg, Henricus J.C.M.
AU - Ruers, Theo J.M.
N1 - Wiley deal
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Hyperspectral imaging is a promising technique for resection margin assessment during cancer surgery. Thereby, only a specific amount of the tissue below the resection surface, the clinically defined margin width, should be assessed. Since the imaging depth of hyperspectral imaging varies with wavelength and tissue composition, this can have consequences for the clinical use of hyperspectral imaging as margin assessment technique. In this study, a method was developed that allows for hyperspectral analysis of resection margins in breast cancer. This method uses the spectral slope of the diffuse reflectance spectrum at wavelength regions where the imaging depth in tumor and healthy tissue is equal. Thereby, tumor can be discriminated from healthy breast tissue while imaging up to a similar depth as the required tumor-free margin width of 2 mm. Applying this method to hyperspectral images acquired during surgery would allow for robust margin assessment of resected specimens. In this paper, we focused on breast cancer, but the same approach can be applied to develop a method for other types of cancer.
AB - Hyperspectral imaging is a promising technique for resection margin assessment during cancer surgery. Thereby, only a specific amount of the tissue below the resection surface, the clinically defined margin width, should be assessed. Since the imaging depth of hyperspectral imaging varies with wavelength and tissue composition, this can have consequences for the clinical use of hyperspectral imaging as margin assessment technique. In this study, a method was developed that allows for hyperspectral analysis of resection margins in breast cancer. This method uses the spectral slope of the diffuse reflectance spectrum at wavelength regions where the imaging depth in tumor and healthy tissue is equal. Thereby, tumor can be discriminated from healthy breast tissue while imaging up to a similar depth as the required tumor-free margin width of 2 mm. Applying this method to hyperspectral images acquired during surgery would allow for robust margin assessment of resected specimens. In this paper, we focused on breast cancer, but the same approach can be applied to develop a method for other types of cancer.
KW - UT-Hybrid-D
KW - diffuse reflectance
KW - hyperspectral imaging depth
KW - penetration depth
KW - resection margin assessment
KW - resection margin width
KW - breast-conserving surgery
U2 - 10.1002/jbio.201900086
DO - 10.1002/jbio.201900086
M3 - Article
AN - SCOPUS:85069936464
VL - 12
JO - Journal of biophotonics
JF - Journal of biophotonics
SN - 1864-063X
IS - 11
M1 - e201900086
ER -