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Unveiling a Surgical Revolution: The Use of Conventional Histology versus Ex Vivo Fusion Confocal Microscopy in Breast Cancer Surgery.

Authors :
Humaran, Daniel
Pérez-Anker, Javiera
Fernández, Pedro L.
Blay, Lidia
Pascual, Iciar
Castellà, Eva
Pérez, Laia
Puig, Susana
Malvehy, Josep
Julián, Joan F.
Source :
Cells (2073-4409). Oct2024, Vol. 13 Issue 20, p1692. 12p.
Publication Year :
2024

Abstract

Ex vivo fusion confocal microscopy (EVFCM) enables the rapid examination of breast tissue and has the potential to reduce the surgical margins and the necessity for further surgeries. Traditional methods, such as frozen section analysis, are limited by the distortion of tissue and artefacts, leading to false negatives and the need for additional surgeries. This study on observational diagnostic accuracy evaluated the ability of EVFCM to detect breast cancer. A total of 36 breast tissue samples, comprising 20 non-neoplastic and 16 neoplastic cases, were analysed using EVFCM and compared to the results obtained from routine histopathology. A Mohs surgeon experienced in EVFCM (evaluator A) and two breast pathologists unfamiliar with EVFCM (evaluators B and C) performed blinded analyses. EVFCM showed high concordance with the histopathology and the detection of neoplasia, with significant kappa values (p < 0.001). Evaluator A achieved 100% sensitivity and specificity. Evaluators B and C achieved a sensitivity of >87%, a specificity of >94%, positive predictive values of >95%, and negative predictive values of 81% and 94%, respectively. EVFCM therefore offers a promising technique for the assessment of margins in breast-conserving surgery. Its widespread adoption could significantly reduce re-excisions, lower healthcare costs, and improve cosmetic and oncological outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734409
Volume :
13
Issue :
20
Database :
Academic Search Index
Journal :
Cells (2073-4409)
Publication Type :
Academic Journal
Accession number :
180555740
Full Text :
https://doi.org/10.3390/cells13201692