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Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI

BACKGROUND: This study aims to observe and analyze the effect of diffusion weighted magnetic resonance imaging (MRI) on the patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. METHODS: Fifty patients (mean age, 48.7 years) with stage II–III breast cancer who underwent n...

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Autores principales: Lu, Nannan, Dong, Jie, Fang, Xin, Wang, Lufang, Jia, Wei, Zhou, Qiong, Wang, Lingyu, Wei, Jie, Pan, Yueyin, Han, Xinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542288/
https://www.ncbi.nlm.nih.gov/pubmed/34688263
http://dx.doi.org/10.1186/s12880-021-00688-z
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author Lu, Nannan
Dong, Jie
Fang, Xin
Wang, Lufang
Jia, Wei
Zhou, Qiong
Wang, Lingyu
Wei, Jie
Pan, Yueyin
Han, Xinghua
author_facet Lu, Nannan
Dong, Jie
Fang, Xin
Wang, Lufang
Jia, Wei
Zhou, Qiong
Wang, Lingyu
Wei, Jie
Pan, Yueyin
Han, Xinghua
author_sort Lu, Nannan
collection PubMed
description BACKGROUND: This study aims to observe and analyze the effect of diffusion weighted magnetic resonance imaging (MRI) on the patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. METHODS: Fifty patients (mean age, 48.7 years) with stage II–III breast cancer who underwent neoadjuvant chemotherapy and preoperative MRI between 2016 and 2020 were retrospectively evaluated. The associations between preoperative breast MRI findings/clinicopathological features and outcomes of neoadjuvant chemotherapy were assessed. RESULTS: Clinical stage at baseline (OR: 0.104, 95% confidence interval (CI) 0.021–0.516, P = 0.006) and standard apparent diffusion coefficient (ADC) change (OR: 9.865, 95% CI 1.024–95.021, P = 0.048) were significant predictive factors of the effects of neoadjuvant chemotherapy. The percentage increase of standard ADC value in pathologic complete response (pCR) group was larger than that in non-pCR group at first time point (P < 0.05). A correlation was observed between the change in standard ADC values and tumor diameter at first follow-up (r: 0.438, P < 0.05). CONCLUSIONS: Our findings support that change in standard ADC values and clinical stage at baseline can predict the effects of neoadjuvant chemotherapy for patients with breast cancer in early stage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-021-00688-z.
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spelling pubmed-85422882021-10-25 Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI Lu, Nannan Dong, Jie Fang, Xin Wang, Lufang Jia, Wei Zhou, Qiong Wang, Lingyu Wei, Jie Pan, Yueyin Han, Xinghua BMC Med Imaging Research BACKGROUND: This study aims to observe and analyze the effect of diffusion weighted magnetic resonance imaging (MRI) on the patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy. METHODS: Fifty patients (mean age, 48.7 years) with stage II–III breast cancer who underwent neoadjuvant chemotherapy and preoperative MRI between 2016 and 2020 were retrospectively evaluated. The associations between preoperative breast MRI findings/clinicopathological features and outcomes of neoadjuvant chemotherapy were assessed. RESULTS: Clinical stage at baseline (OR: 0.104, 95% confidence interval (CI) 0.021–0.516, P = 0.006) and standard apparent diffusion coefficient (ADC) change (OR: 9.865, 95% CI 1.024–95.021, P = 0.048) were significant predictive factors of the effects of neoadjuvant chemotherapy. The percentage increase of standard ADC value in pathologic complete response (pCR) group was larger than that in non-pCR group at first time point (P < 0.05). A correlation was observed between the change in standard ADC values and tumor diameter at first follow-up (r: 0.438, P < 0.05). CONCLUSIONS: Our findings support that change in standard ADC values and clinical stage at baseline can predict the effects of neoadjuvant chemotherapy for patients with breast cancer in early stage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12880-021-00688-z. BioMed Central 2021-10-23 /pmc/articles/PMC8542288/ /pubmed/34688263 http://dx.doi.org/10.1186/s12880-021-00688-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lu, Nannan
Dong, Jie
Fang, Xin
Wang, Lufang
Jia, Wei
Zhou, Qiong
Wang, Lingyu
Wei, Jie
Pan, Yueyin
Han, Xinghua
Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title_full Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title_fullStr Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title_full_unstemmed Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title_short Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI
title_sort predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric mri
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542288/
https://www.ncbi.nlm.nih.gov/pubmed/34688263
http://dx.doi.org/10.1186/s12880-021-00688-z
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