Hyperspectral Imaging for Distinguishing Granulomatous Mastitis From Normal Breast Tissue in Core Needle Biopsies

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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Publication Details

Journal
Journal of Biophotonics
Published
2025-08-27
DOI
https://doi.org/10.1002/jbio.202500240
Primary Topic
Optical Imaging and Spectroscopy Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Hyperspectral Imaging for Distinguishing Granulomatous Mastitis From Normal Breast Tissue in Core Needle Biopsies

H.‐J. Lv, Yukun Yin, Chanchan Zhu, Cuilei Wei et al.
Journal of Biophotonics
Optical Imaging and Spectroscopy Techniques
article

Hyperspectral Imaging for Distinguishing Granulomatous Mastitis From Normal Breast Tissue in Core Needle Biopsies

H.‐J. Lv, Yukun Yin, Chanchan Zhu, Cuilei Wei, Jingwei Li, Mengdi Zhang, Minmin Yu, Mengqiu Zhang, Guangshang Zhong, Xinqian Dong
article en

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.

Journal of BiophotonicsVol. 19(1)
Shandong University of Traditional Chinese Medicine (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 68%
Optical Imaging and Spectroscopy Techniques
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