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Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI

Background: For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictiv...

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Autores principales: La Forgia, Daniele, Vestito, Angela, Lasciarrea, Maurilia, Comes, Maria Colomba, Diotaiuti, Sergio, Giotta, Francesco, Latorre, Agnese, Lorusso, Vito, Massafra, Raffaella, Palmiotti, Gennaro, Rinaldi, Lucia, Signorile, Rahel, Gatta, Gianluca, Fanizzi, Annarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065517/
https://www.ncbi.nlm.nih.gov/pubmed/33915842
http://dx.doi.org/10.3390/jpm11040256
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author La Forgia, Daniele
Vestito, Angela
Lasciarrea, Maurilia
Comes, Maria Colomba
Diotaiuti, Sergio
Giotta, Francesco
Latorre, Agnese
Lorusso, Vito
Massafra, Raffaella
Palmiotti, Gennaro
Rinaldi, Lucia
Signorile, Rahel
Gatta, Gianluca
Fanizzi, Annarita
author_facet La Forgia, Daniele
Vestito, Angela
Lasciarrea, Maurilia
Comes, Maria Colomba
Diotaiuti, Sergio
Giotta, Francesco
Latorre, Agnese
Lorusso, Vito
Massafra, Raffaella
Palmiotti, Gennaro
Rinaldi, Lucia
Signorile, Rahel
Gatta, Gianluca
Fanizzi, Annarita
author_sort La Forgia, Daniele
collection PubMed
description Background: For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy. Method: Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, and after surgery. They identified the portion of fibroglandular tissue (FGT) and BPE of the contralateral breast to the tumor in the basal control pre-treatment (baseline). Results: We observed a reduction of BPE classes in serial MRI checks performed during neoadjuvant therapy, as compared to baseline pre-treatment conditions, in 61.3% of patients in the intermediate step, and in 86.7% of patients in the final step. BPE reduction was significantly associated with sequential anthracyclines/taxane administration in the first cycle of neoadjuvant therapy compared to anti-HER2 containing therapies. The therapy response was also significantly related to tumor size. There were no associations with menopausal status, fibroglandular tissue (FGT) amount, age, BPE baseline, BPE in intermediate, and in the final MRI step. Conclusions: The measured variability of this parameter during therapy could predict therapy effectiveness in early stages, improving decision-making in the perspective of personalized medicine. Our preliminary results suggest that BPE may represent a predictive factor in response to neoadjuvant therapy in breast cancer, warranting future investigations in conjunction with radiomics.
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spelling pubmed-80655172021-04-25 Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI La Forgia, Daniele Vestito, Angela Lasciarrea, Maurilia Comes, Maria Colomba Diotaiuti, Sergio Giotta, Francesco Latorre, Agnese Lorusso, Vito Massafra, Raffaella Palmiotti, Gennaro Rinaldi, Lucia Signorile, Rahel Gatta, Gianluca Fanizzi, Annarita J Pers Med Article Background: For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy. Method: Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, and after surgery. They identified the portion of fibroglandular tissue (FGT) and BPE of the contralateral breast to the tumor in the basal control pre-treatment (baseline). Results: We observed a reduction of BPE classes in serial MRI checks performed during neoadjuvant therapy, as compared to baseline pre-treatment conditions, in 61.3% of patients in the intermediate step, and in 86.7% of patients in the final step. BPE reduction was significantly associated with sequential anthracyclines/taxane administration in the first cycle of neoadjuvant therapy compared to anti-HER2 containing therapies. The therapy response was also significantly related to tumor size. There were no associations with menopausal status, fibroglandular tissue (FGT) amount, age, BPE baseline, BPE in intermediate, and in the final MRI step. Conclusions: The measured variability of this parameter during therapy could predict therapy effectiveness in early stages, improving decision-making in the perspective of personalized medicine. Our preliminary results suggest that BPE may represent a predictive factor in response to neoadjuvant therapy in breast cancer, warranting future investigations in conjunction with radiomics. MDPI 2021-04-01 /pmc/articles/PMC8065517/ /pubmed/33915842 http://dx.doi.org/10.3390/jpm11040256 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
La Forgia, Daniele
Vestito, Angela
Lasciarrea, Maurilia
Comes, Maria Colomba
Diotaiuti, Sergio
Giotta, Francesco
Latorre, Agnese
Lorusso, Vito
Massafra, Raffaella
Palmiotti, Gennaro
Rinaldi, Lucia
Signorile, Rahel
Gatta, Gianluca
Fanizzi, Annarita
Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title_full Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title_fullStr Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title_full_unstemmed Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title_short Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
title_sort response predictivity to neoadjuvant therapies in breast cancer: a qualitative analysis of background parenchymal enhancement in dce-mri
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8065517/
https://www.ncbi.nlm.nih.gov/pubmed/33915842
http://dx.doi.org/10.3390/jpm11040256
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