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.
journal_name
J Biophotonicsjournal_title
Journal of biophotonicsauthors
Kho E,de Boer LL,Post AL,Van de Vijver KK,Jóźwiak K,Sterenborg HJCM,Ruers TJMdoi
10.1002/jbio.201900086subject
Has Abstractpub_date
2019-11-01 00:00:00pages
e201900086issue
11eissn
1864-063Xissn
1864-0648journal_volume
12pub_type
杂志文章abstract::Modified nucleoside in urine samples is one of the most common biomarkers for cancer screening. Therefore, we developed a novel detection method for modified nucleoside detection in human urine. In this work, the modified nucleoside from real cancer patient's urine samples was first separated and purified using the af...
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journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
pub_type: 评论,杂志文章
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