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Imaging depth variations in hyperspectral imaging: Development of a method to detect tumor up to the required tumor-free margin width.
J Biophotonics 2019; 12(11):e201900086JB

Abstract

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.

Authors+Show Affiliations

Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands.Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands. Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, Netherlands.Department of Pathology, the Netherlands Cancer Institute, Amsterdam, Netherlands. Department of Pathology, Ghent University Hospital, Ghent, Belgium.Department of Epidemiology and Biostatistics, the Netherlands Cancer Institute, Amsterdam, Netherlands.Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands. Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, Netherlands.Department of Surgery, Netherlands Cancer Institute, Amsterdam, the Netherlands. Faculty of Science and Technology, University of Twente, Enschede, Netherlands.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31290280

Citation

Kho, Esther, et al. "Imaging Depth Variations in Hyperspectral Imaging: Development of a Method to Detect Tumor Up to the Required Tumor-free Margin Width." Journal of Biophotonics, vol. 12, no. 11, 2019, pp. e201900086.
Kho E, de Boer LL, Post AL, et al. Imaging depth variations in hyperspectral imaging: Development of a method to detect tumor up to the required tumor-free margin width. J Biophotonics. 2019;12(11):e201900086.
Kho, E., de Boer, L. L., Post, A. L., Van de Vijver, K. K., Jóźwiak, K., Sterenborg, H. J. C. M., & Ruers, T. J. M. (2019). Imaging depth variations in hyperspectral imaging: Development of a method to detect tumor up to the required tumor-free margin width. Journal of Biophotonics, 12(11), pp. e201900086. doi:10.1002/jbio.201900086.
Kho E, et al. Imaging Depth Variations in Hyperspectral Imaging: Development of a Method to Detect Tumor Up to the Required Tumor-free Margin Width. J Biophotonics. 2019;12(11):e201900086. PubMed PMID: 31290280.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Imaging depth variations in hyperspectral imaging: 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, Y1 - 2019/07/23/ PY - 2019/03/06/received PY - 2019/05/20/revised PY - 2019/07/09/accepted PY - 2019/7/11/pubmed PY - 2019/7/11/medline PY - 2019/7/11/entrez KW - breast-conserving surgery KW - diffuse reflectance KW - hyperspectral imaging depth KW - penetration depth KW - resection margin assessment KW - resection margin width SP - e201900086 EP - e201900086 JF - Journal of biophotonics JO - J Biophotonics VL - 12 IS - 11 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. SN - 1864-0648 UR - https://www.unboundmedicine.com/medline/citation/31290280/Imaging_depth_variations_in_hyperspectral_imaging:_Development_of_a_method_to_detect_tumor_up_to_the_required_tumor_free_margin_width_ L2 - https://doi.org/10.1002/jbio.201900086 DB - PRIME DP - Unbound Medicine ER -