{"title":"Hyperspectral Imaging for Distinguishing Granulomatous Mastitis From Normal Breast Tissue in Core Needle Biopsies.","authors":"Minmin Yu, Yukun Yin, Guangshang Zhong, Chanchan Zhu, Cuilei Wei, Mengqiu Zhang, Mengdi Zhang, Haiyue Lv, Xinqian Dong, Jingwei Li","doi":"10.1002/jbio.202500240","DOIUrl":null,"url":null,"abstract":"<p><p>This study explores the use of hyperspectral imaging (HSI) to distinguish granulomatous mastitis (GM) from normal breast tissue in core-needle biopsy specimens. High-resolution spectral data were captured from paraffin-embedded sections across the 400-1000 nm range. Following preprocessing, normalization, and principal component analysis, one-way analysis of variance revealed ten wavelengths with the greatest diagnostic power. Notably, hemoglobin absorption peaks and lipid-collagen signatures provided the strongest spectral discrimination between GM and healthy tissue. These results underscore HSI's promise as a rapid, real-time adjunct for preoperative and intraoperative evaluation of breast lesions.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202500240"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biophotonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jbio.202500240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the use of hyperspectral imaging (HSI) to distinguish granulomatous mastitis (GM) from normal breast tissue in core-needle biopsy specimens. High-resolution spectral data were captured from paraffin-embedded sections across the 400-1000 nm range. Following preprocessing, normalization, and principal component analysis, one-way analysis of variance revealed ten wavelengths with the greatest diagnostic power. Notably, hemoglobin absorption peaks and lipid-collagen signatures provided the strongest spectral discrimination between GM and healthy tissue. These results underscore HSI's promise as a rapid, real-time adjunct for preoperative and intraoperative evaluation of breast lesions.
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