Structured illumination microscopy for cancer identification in diagnostic breast biopsies.

Autor: Behr M; Department of Biomedical Engineering, Tulane University, New Orleans, LA, United States of America., Alizadeh L; Department of Pathology, Ochsner Medical Center, New Orleans, LA, United States of America., Buckner-Baiamonte L; Biorepository Unit, Ochsner Medical Center, New Orleans, LA, United States of America., Roberts B; Department of Radiology, Ochsner Medical Center, New Orleans, LA, United States of America., Sholl AB; Department of Pathology, Touro Infirmary, New Orleans, LA, United States of America., Brown JQ; Department of Biomedical Engineering, Tulane University, New Orleans, LA, United States of America.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 May 09; Vol. 19 (5), pp. e0302600. Date of Electronic Publication: 2024 May 09 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0302600
Abstrakt: Breast cancer is the second most common cancer diagnosed in women in the US with almost 280,000 new cases anticipated in 2023. Currently, on-site pathology for location guidance is not available during the collection of breast biopsies or during surgical intervention procedures. This shortcoming contributes to repeat biopsy and re-excision procedures, increasing the cost and patient discomfort during the cancer management process. Both procedures could benefit from on-site feedback, but current clinical on-site evaluation techniques are not commonly used on breast tissue because they are destructive and inaccurate. Ex-vivo microscopy is an emerging field aimed at creating histology-analogous images from non- or minimally-processed tissues, and is a promising tool for addressing this pain point in clinical cancer management. We investigated the ability structured illumination microscopy (SIM) to generate images from freshly-obtained breast tissues for structure identification and cancer identification at a speed compatible with potential on-site clinical implementation. We imaged 47 biopsies from patients undergoing a guided breast biopsy procedure using a customized SIM system and a dual-color fluorescent hematoxylin & eosin (H&E) analog. These biopsies had an average size of 0.92 cm2 (minimum 0.1, maximum 4.2) and had an average imaging time of 7:29 (minimum 0:22, maximum 37:44). After imaging, breast biopsies were submitted for standard histopathological processing and review. A board-certified pathologist returned a binary diagnostic accuracy of 96% when compared to diagnoses from gold-standard histology slides, and key tissue features including stroma, vessels, ducts, and lobules were identified from the resulting images.
Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: JQB is a co-founder and officer of Instapath, Inc., which however did not support the work presented here.
(Copyright: © 2024 Behr et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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