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Article 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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http://dx.doi.org/10.1002/jbio.202500240DOI Listing

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