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Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer
INTRODUCTION: 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 com...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cancer Intelligence
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300406/ https://www.ncbi.nlm.nih.gov/pubmed/35919242 http://dx.doi.org/10.3332/ecancer.2022.1396 |
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author | Canteros, Daniel Walbaum, Benjamin Córdova-Delgado, Miguel Torrealba, Andrés Reyes, Constanza Navarro, María Elena Razmilic, Dravna Camus, Mauricio Dominguez, Francisco Navarrete, Orieta Pinto, Mauricio P Pizarro, Gonzalo Acevedo, Francisco Sánchez, César |
author_facet | Canteros, Daniel Walbaum, Benjamin Córdova-Delgado, Miguel Torrealba, Andrés Reyes, Constanza Navarro, María Elena Razmilic, Dravna Camus, Mauricio Dominguez, Francisco Navarrete, Orieta Pinto, Mauricio P Pizarro, Gonzalo Acevedo, Francisco Sánchez, César |
author_sort | Canteros, Daniel |
collection | PubMed |
description | INTRODUCTION: 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. |
format | Online Article Text |
id | pubmed-9300406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cancer Intelligence |
record_format | MEDLINE/PubMed |
spelling | pubmed-93004062022-08-01 Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer Canteros, Daniel Walbaum, Benjamin Córdova-Delgado, Miguel Torrealba, Andrés Reyes, Constanza Navarro, María Elena Razmilic, Dravna Camus, Mauricio Dominguez, Francisco Navarrete, Orieta Pinto, Mauricio P Pizarro, Gonzalo Acevedo, Francisco Sánchez, César Ecancermedicalscience Research INTRODUCTION: 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. Cancer Intelligence 2022-05-23 /pmc/articles/PMC9300406/ /pubmed/35919242 http://dx.doi.org/10.3332/ecancer.2022.1396 Text en © the authors; licensee ecancermedicalscience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Canteros, Daniel Walbaum, Benjamin Córdova-Delgado, Miguel Torrealba, Andrés Reyes, Constanza Navarro, María Elena Razmilic, Dravna Camus, Mauricio Dominguez, Francisco Navarrete, Orieta Pinto, Mauricio P Pizarro, Gonzalo Acevedo, Francisco Sánchez, César Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title | Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title_full | Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title_fullStr | Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title_full_unstemmed | Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title_short | Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
title_sort | contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300406/ https://www.ncbi.nlm.nih.gov/pubmed/35919242 http://dx.doi.org/10.3332/ecancer.2022.1396 |
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