Multispectral Photoacoustic Imaging of Breast Cancer Tissue

Intraoperative multispectral photoacoustic pathology assessment presents a promising approach to guide biopsy resection. In this study, we developed and validated a novel photoacoustic technique to differentiate between healthy and cancerous tissues, with the ultimate goal of intraoperative deployment. The test healthy tissue region had 0.967 mean correlation with the representative healthy tissue spectrum and lower correlation (0.801) with the cancer tissue spectrum. The test cancer tissue region had 0.954 mean correlation with the cancer tissue spectrum and lower correlation (0.762) with the healthy tissue spectrum. Our method was further validated through qualitative comparison with high-resolution hematoxylin and eosin histopathology scans. This label-free histopathology approach utilizing multispectral photoacoustic imaging has the potential to enable real-time tumor margin determination during biopsy.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10793859
Citations
2
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.37

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article

Multispectral Photoacoustic Imaging of Breast Cancer Tissue

Muyinatu A. Lediju Bell, Junior Arroyo, Junhao Zhang
2 citations
Photoacoustic and Ultrasonic Imaging
0.37
article

Multispectral Photoacoustic Imaging of Breast Cancer Tissue

Muyinatu A. Lediju Bell, Junior Arroyo, Junhao Zhang
article en
2 citations

Abstract

Intraoperative multispectral photoacoustic pathology assessment presents a promising approach to guide biopsy resection. In this study, we developed and validated a novel photoacoustic technique to differentiate between healthy and cancerous tissues, with the ultimate goal of intraoperative deployment. The test healthy tissue region had 0.967 mean correlation with the representative healthy tissue spectrum and lower correlation (0.801) with the cancer tissue spectrum. The test cancer tissue region had 0.954 mean correlation with the cancer tissue spectrum and lower correlation (0.762) with the healthy tissue spectrum. Our method was further validated through qualitative comparison with high-resolution hematoxylin and eosin histopathology scans. This label-free histopathology approach utilizing multispectral photoacoustic imaging has the potential to enable real-time tumor margin determination during biopsy.

Johns Hopkins University (US)
Silicon Valley Community Foundation, Chan Zuckerberg Initiative, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 41%
Photoacoustic and Ultrasonic Imaging
0.37
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Multispectral Photoacoustic Imaging of Breast Cancer Tissue — Muyinatu A. Lediju Bell, Junior Arroyo, et al. · (2024) | TGRS Research Map | TGRS