» Articles » PMID: 33241673

Rapid Assessment of Breast Tumor Margins Using Deep Ultraviolet Fluorescence Scanning Microscopy

Overview
Journal J Biomed Opt
Date 2020 Nov 26
PMID 33241673
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Significance: Re-excision rates for women with invasive breast cancer undergoing breast conserving surgery (or lumpectomy) have decreased in the past decade but remain substantial. This is mainly due to the inability to assess the entire surface of an excised lumpectomy specimen efficiently and accurately during surgery.

Aim: The goal of this study was to develop a deep-ultraviolet scanning fluorescence microscope (DUV-FSM) that can be used to accurately and rapidly detect cancer cells on the surface of excised breast tissue.

Approach: A DUV-FSM was used to image the surfaces of 47 (31 malignant and 16 normal/benign) fresh breast tissue samples stained in propidium iodide and eosin Y solutions. A set of fluorescence images were obtained from each sample using low magnification (4  ×  ) and fully automated scanning. The images were stitched to form a color image. Three nonmedical evaluators were trained to interpret and assess the fluorescence images. Nuclear-cytoplasm ratio (N/C) was calculated and used for tissue classification.

Results: DUV-FSM images a breast sample with subcellular resolution at a speed of 1.0  min  /  cm2. Fluorescence images show excellent visual contrast in color, tissue texture, cell density, and shape between invasive carcinomas and their normal counterparts. Visual interpretation of fluorescence images by nonmedical evaluators was able to distinguish invasive carcinoma from normal samples with high sensitivity (97.62%) and specificity (92.86%). Using N/C alone was able to differentiate patch-level invasive carcinoma from normal breast tissues with reasonable sensitivity (81.5%) and specificity (78.5%).

Conclusions: DUV-FSM achieved a good balance between imaging speed and spatial resolution with excellent contrast, which allows either visual or quantitative detection of invasive cancer cells on the surfaces of a breast surgical specimen.

Citing Articles

Deep-Ultraviolet AlN Metalens with Imaging and Ultrafast Laser Microfabrication Applications.

Peng Y, Wang Y, Chen K, Lin Y, Sakurai H, Chang H Nano Lett. 2025; 25(8):3141-3149.

PMID: 39879353 PMC: 11869270. DOI: 10.1021/acs.nanolett.4c05552.


Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review.

Ghasemi A, Hashtarkhani S, Schwartz D, Shaban-Nejad A Cancer Innov. 2024; 3(5):e136.

PMID: 39430216 PMC: 11488119. DOI: 10.1002/cai2.136.


Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer.

To T, Lu T, Jorns J, Patton M, Schmidt T, Yen T Front Oncol. 2023; 13:1179025.

PMID: 37397361 PMC: 10313133. DOI: 10.3389/fonc.2023.1179025.


Analysis of Deep Ultraviolet Fluorescence Images for Intraoperative Breast Tumor Margin Assessment.

Lu T, Jorns J, Ye D, Patton M, Gilat-Schmidt T, Yen T Proc SPIE Int Soc Opt Eng. 2023; 12368.

PMID: 37292087 PMC: 10249647. DOI: 10.1117/12.2649552.


Rapid digital pathology of H&E-stained fresh human brain specimens as an alternative to frozen biopsy.

Borah B, Tseng Y, Wang K, Wang H, Huang H, Chang K Commun Med (Lond). 2023; 3(1):77.

PMID: 37253966 PMC: 10229595. DOI: 10.1038/s43856-023-00305-w.


References
1.
Li R, Wang P, Lan L, Lloyd Jr F, Goergen C, Chen S . Assessing breast tumor margin by multispectral photoacoustic tomography. Biomed Opt Express. 2015; 6(4):1273-81. PMC: 4399666. DOI: 10.1364/BOE.6.001273. View

2.
Dumitru D, Douek M, Benson J . Novel techniques for intraoperative assessment of margin involvement. Ecancermedicalscience. 2018; 12:795. PMC: 5804713. DOI: 10.3332/ecancer.2018.795. View

3.
Maloney B, McClatchy D, Pogue B, Paulsen K, Wells W, Barth R . Review of methods for intraoperative margin detection for breast conserving surgery. J Biomed Opt. 2018; 23(10):1-19. PMC: 6210801. DOI: 10.1117/1.JBO.23.10.100901. View

4.
Moran M, Schnitt S, Giuliano A, Harris J, Khan S, Horton J . Society of Surgical Oncology-American Society for Radiation Oncology consensus guideline on margins for breast-conserving surgery with whole-breast irradiation in stages I and II invasive breast cancer. J Clin Oncol. 2014; 32(14):1507-15. DOI: 10.1200/JCO.2013.53.3935. View

5.
St John E, Al-Khudairi R, Ashrafian H, Athanasiou T, Takats Z, Hadjiminas D . Diagnostic Accuracy of Intraoperative Techniques for Margin Assessment in Breast Cancer Surgery: A Meta-analysis. Ann Surg. 2016; 265(2):300-310. DOI: 10.1097/SLA.0000000000001897. View