Cargando…
The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy
Background Neoadjuvant chemotherapy (NACT) has become the standard of care for locally advanced breast cancer. This study investigates whether baseline ultrasound features can predict complete pathological response (pCR) after NACT. Methods This retrospective study was approved by the Institutional...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660791/ https://www.ncbi.nlm.nih.gov/pubmed/38024010 http://dx.doi.org/10.7759/cureus.49084 |
_version_ | 1785148429074169856 |
---|---|
author | El-Diasty, Mohamed T Ageely, Ghofran A Sawan, Sara Karsou, Razan M Bakhsh, Salwa I Alharthy, Ahmed Noorelahi, Yasser Badeeb, Arwa |
author_facet | El-Diasty, Mohamed T Ageely, Ghofran A Sawan, Sara Karsou, Razan M Bakhsh, Salwa I Alharthy, Ahmed Noorelahi, Yasser Badeeb, Arwa |
author_sort | El-Diasty, Mohamed T |
collection | PubMed |
description | Background Neoadjuvant chemotherapy (NACT) has become the standard of care for locally advanced breast cancer. This study investigates whether baseline ultrasound features can predict complete pathological response (pCR) after NACT. Methods This retrospective study was approved by the Institutional Review Board of King Abdulaziz University Hospital, Jeddah, Saudi Arabia, with a waiver of informed consent. Records of female patients aged over 18 years with locally advanced breast cancer treated with NACT from 2018 to 2020 were reviewed. Baseline ultrasound parameters were assessed, including posterior effect, echo pattern, margin, and maximum lesion diameter. Tumor grade and immunophenotype were documented from the core biopsy. pCR was defined as the absence of invasive residual disease in the breast and axilla. Univariate and multivariate analyses assessed the association between ultrasound features and pathological response. Results A total of 110 breast cancer cases were analyzed: 36 (32.7%) were estrogen receptor (ER)-positive/human epidermal growth factor 2 (HER-2) negative, 49 (44.5%) were HER-2 positive, and 25 (22.7%) were triple-negative (TN). A pCR was achieved in 20 (18%) of cancers. Lesion diameter was significantly different between pCR and non-pCR groups, 28.5 ± 12 mm versus 39 ± 18 mm, respectively, with an area under the curve (AUC) of 0.7, a confidence interval (CI) of 0.55-0.81, and a p-value of 0.01. No significant association was observed between ultrasound features, tumor grade, and immunophenotype with pCR. Conclusion Ultrasound features could not predict pCR. A smaller tumor diameter was the only significant factor associated with pCR. Further prospective studies combining imaging features from different modalities are needed to explore the potential of varying imaging features in predicting post-NACT pathological response more comprehensively. |
format | Online Article Text |
id | pubmed-10660791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-106607912023-11-20 The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy El-Diasty, Mohamed T Ageely, Ghofran A Sawan, Sara Karsou, Razan M Bakhsh, Salwa I Alharthy, Ahmed Noorelahi, Yasser Badeeb, Arwa Cureus Radiology Background Neoadjuvant chemotherapy (NACT) has become the standard of care for locally advanced breast cancer. This study investigates whether baseline ultrasound features can predict complete pathological response (pCR) after NACT. Methods This retrospective study was approved by the Institutional Review Board of King Abdulaziz University Hospital, Jeddah, Saudi Arabia, with a waiver of informed consent. Records of female patients aged over 18 years with locally advanced breast cancer treated with NACT from 2018 to 2020 were reviewed. Baseline ultrasound parameters were assessed, including posterior effect, echo pattern, margin, and maximum lesion diameter. Tumor grade and immunophenotype were documented from the core biopsy. pCR was defined as the absence of invasive residual disease in the breast and axilla. Univariate and multivariate analyses assessed the association between ultrasound features and pathological response. Results A total of 110 breast cancer cases were analyzed: 36 (32.7%) were estrogen receptor (ER)-positive/human epidermal growth factor 2 (HER-2) negative, 49 (44.5%) were HER-2 positive, and 25 (22.7%) were triple-negative (TN). A pCR was achieved in 20 (18%) of cancers. Lesion diameter was significantly different between pCR and non-pCR groups, 28.5 ± 12 mm versus 39 ± 18 mm, respectively, with an area under the curve (AUC) of 0.7, a confidence interval (CI) of 0.55-0.81, and a p-value of 0.01. No significant association was observed between ultrasound features, tumor grade, and immunophenotype with pCR. Conclusion Ultrasound features could not predict pCR. A smaller tumor diameter was the only significant factor associated with pCR. Further prospective studies combining imaging features from different modalities are needed to explore the potential of varying imaging features in predicting post-NACT pathological response more comprehensively. Cureus 2023-11-20 /pmc/articles/PMC10660791/ /pubmed/38024010 http://dx.doi.org/10.7759/cureus.49084 Text en Copyright © 2023, El-Diasty et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Radiology El-Diasty, Mohamed T Ageely, Ghofran A Sawan, Sara Karsou, Razan M Bakhsh, Salwa I Alharthy, Ahmed Noorelahi, Yasser Badeeb, Arwa The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title | The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title_full | The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title_fullStr | The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title_full_unstemmed | The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title_short | The Role of Ultrasound Features in Predicting the Breast Cancer Response to Neoadjuvant Chemotherapy |
title_sort | role of ultrasound features in predicting the breast cancer response to neoadjuvant chemotherapy |
topic | Radiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660791/ https://www.ncbi.nlm.nih.gov/pubmed/38024010 http://dx.doi.org/10.7759/cureus.49084 |
work_keys_str_mv | AT eldiastymohamedt theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT ageelyghofrana theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT sawansara theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT karsourazanm theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT bakhshsalwai theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT alharthyahmed theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT noorelahiyasser theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT badeebarwa theroleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT eldiastymohamedt roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT ageelyghofrana roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT sawansara roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT karsourazanm roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT bakhshsalwai roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT alharthyahmed roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT noorelahiyasser roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy AT badeebarwa roleofultrasoundfeaturesinpredictingthebreastcancerresponsetoneoadjuvantchemotherapy |