Automated detection of breast cancer in resected specimens with fluorescence lifetime imaging

Physics in Medicine and Biology
Jennifer E PhippsLaura Marcu

Abstract

Re-excision rates for breast cancer lumpectomy procedures are currently nearly 25% due to surgeons relying on inaccurate or incomplete methods of evaluating specimen margins. The objective of this study was to determine if cancer could be automatically detected in breast specimens from mastectomy and lumpectomy procedures by a classification algorithm that incorporated parameters derived from fluorescence lifetime imaging (FLIm). This study generated a database of co-registered histologic sections and FLIm data from breast cancer specimens (N  =  20) and a support vector machine (SVM) classification algorithm able to automatically detect cancerous, fibrous, and adipose breast tissue. Classification accuracies were greater than 97% for automated detection of cancerous, fibrous, and adipose tissue from breast cancer specimens. The classification worked equally well for specimens scanned by hand or with a mechanical stage, demonstrating that the system could be used during surgery or on excised specimens. The ability of this technique to simply discriminate between cancerous and normal breast tissue, in particular to distinguish fibrous breast tissue from tumor, which is notoriously challenging for optical techniques, leads to the...Continue Reading

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Citations

May 22, 2018·Journal of Biophotonics·Alba Alfonso-GarciaLaura Marcu
Dec 24, 2018·Journal of Biomedical Optics·Xiangnan ZhouLaura Marcu
Jul 14, 2020·Translational Biophotonics·Brent W WeyersLaura Marcu
Jul 11, 2018·Breast Cancer Research : BCR·Dustin W ShippIoan Notingher
Apr 21, 2021·Laboratory Investigation; a Journal of Technical Methods and Pathology·Jackson RodriguesKrishna Kishore Mahato
Apr 21, 2021·The Journal of Surgical Research·Mark MarsdenMichael J Campbell
Jun 18, 2021·Nano-micro Letters·Yuzhen OuyangMinghua Wu
Jul 1, 2020·Analytical Chemistry·Tanveer Ahmed ShaikLaura Marcu
Dec 18, 2021·Lasers in Surgery and Medicine·Irina N DolganovaVladimir N Kurlov

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