Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer

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dc.article.number1396
dc.catalogadorpva
dc.contributor.authorCanteros, Daniel
dc.contributor.authorWalbaum, Benjamin
dc.contributor.authorCórdova-Delgado, Miguel
dc.contributor.authorTorrealba, Andrés
dc.contributor.authorReyes, Constanza
dc.contributor.authorNavarro, María Elena
dc.contributor.authorRazmilic, Dravna
dc.contributor.authorCamus, Mauricio
dc.contributor.authorDominguez, Francisco
dc.contributor.authorNavarrete, Orieta
dc.contributor.authorPinto, Mauricio P.
dc.contributor.authorPizarro, Gonzalo
dc.contributor.authorAcevedo, Francisco
dc.contributor.authorSánchez, César
dc.date.accessioned2024-01-19T18:21:48Z
dc.date.available2024-01-19T18:21:48Z
dc.date.issued2022
dc.description.abstractIntroduction: Recently, contrast-enhanced mammography (CEM) has emerged as a reliable alternative to breast magnetic resonance imaging (MRI) for the assessment of pathological response in breast cancer patients. Our study sought to determine the diagnostic accuracy of CEM to predict pathological complete response (pCR) in patients who received neoadjuvant chemotherapy (NACT). Methods: We retrieved the medical records of patients who underwent NACT at our institution. Using post-surgery pCR, morphological evidence and CEM enhancement tumours were classified as follows: 1) radiologic complete response (rCR); 2) functional radiological complete response (frCR); and 3) non-complete response. Initially, we used multivariate analyses adjusted by clinical variables and frCR or rCR to determine which variables affected pathological response. Then, CEM diagnostic accuracy to discriminate pCR was assessed using receiver operating characteristic curves in univariate and multivariate models including either frCR or rCR. Results: A total of 48 patients were included in our study. Most patients (68.7%) were hormone receptor (HR)+ and 41.6% (20) of the patients achieved pCR. Using univariate logistic regression analyses we found that HR status, HER2 status, rCR and frCR had a significant impact on CEM diagnostic accuracy. Exploratory analyses found that CEM sensitivity was higher for HR− tumours. Multivariate logistic regression analyses found 60% sensitivity, 92.9% specificity and 79.2% accuracy in a model that included clinical variables and rCR. Conclusion: CEM is a reliable alternative to high-cost, time-consuming breast MRI that predicts pCR in patients undergoing NACT; CEM diagnostic accuracy was higher among patients who harboured HR− tumours.
dc.fechaingreso.objetodigital2024-04-01
dc.fuente.origenORCID-ene24
dc.identifier.doi10.3332/ecancer.2022.1396
dc.identifier.urihttp://dx.doi.org/10.3332/ecancer.2022.1396
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80798
dc.information.autorucEscuela de Medicina; Acevedo Claros, Francisco Nicolas; 0000-0003-3482-7746; 119540
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final10
dc.pagina.inicio1
dc.revistaecancer
dc.rightsacceso abierto
dc.rights.licenseCC BY 4.0 DEED Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectContrast-enhanced mammography
dc.subjectNeoadjuvant chemotherapy
dc.subjectPathological complete response
dc.subjectSensitivity
dc.subjectSpecificity
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleContrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer
dc.typeartículo
dc.volumen16
sipa.codpersvinculados119540
sipa.trazabilidadORCID;2024-01-08
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