Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis

Abstract Angiogenesis is a critical component of breast cancer development, and identification of imaging-based angiogenesis assays has prognostic and treatment implications. We evaluated the association of semi-quantitative kinetic and radiomic breast cancer features on dynamic contrast-enhanced (D...

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Autores principales: Jennifer Xiao, Habib Rahbar, Daniel S. Hippe, Mara H. Rendi, Elizabeth U. Parker, Neal Shekar, Michael Hirano, Kevin J. Cheung, Savannah C. Partridge
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/0f8d7b3018ba41d7a5fe7ee92554d97b
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spelling oai:doaj.org-article:0f8d7b3018ba41d7a5fe7ee92554d97b2021-12-02T18:03:19ZDynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis10.1038/s41523-021-00247-32374-4677https://doaj.org/article/0f8d7b3018ba41d7a5fe7ee92554d97b2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41523-021-00247-3https://doaj.org/toc/2374-4677Abstract Angiogenesis is a critical component of breast cancer development, and identification of imaging-based angiogenesis assays has prognostic and treatment implications. We evaluated the association of semi-quantitative kinetic and radiomic breast cancer features on dynamic contrast-enhanced (DCE)-MRI with microvessel density (MVD), a marker for angiogenesis. Invasive breast cancer kinetic features (initial peak percent enhancement [PE], signal enhancement ratio [SER], functional tumor volume [FTV], and washout fraction [WF]), radiomics features (108 total features reflecting tumor morphology, signal intensity, and texture), and MVD (by histologic CD31 immunostaining) were measured in 27 patients (1/2016–7/2017). Lesions with high MVD levels demonstrated higher peak SER than lesions with low MVD (mean: 1.94 vs. 1.61, area under the receiver operating characteristic curve [AUC] = 0.79, p = 0.009) and higher WF (mean: 50.6% vs. 22.5%, AUC = 0.87, p = 0.001). Several radiomics texture features were also promising for predicting increased MVD (maximum AUC = 0.84, p = 0.002). Our study suggests DCE-MRI can non-invasively assess breast cancer angiogenesis, which could stratify biology and optimize treatments.Jennifer XiaoHabib RahbarDaniel S. HippeMara H. RendiElizabeth U. ParkerNeal ShekarMichael HiranoKevin J. CheungSavannah C. PartridgeNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Breast Cancer, Vol 7, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Jennifer Xiao
Habib Rahbar
Daniel S. Hippe
Mara H. Rendi
Elizabeth U. Parker
Neal Shekar
Michael Hirano
Kevin J. Cheung
Savannah C. Partridge
Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
description Abstract Angiogenesis is a critical component of breast cancer development, and identification of imaging-based angiogenesis assays has prognostic and treatment implications. We evaluated the association of semi-quantitative kinetic and radiomic breast cancer features on dynamic contrast-enhanced (DCE)-MRI with microvessel density (MVD), a marker for angiogenesis. Invasive breast cancer kinetic features (initial peak percent enhancement [PE], signal enhancement ratio [SER], functional tumor volume [FTV], and washout fraction [WF]), radiomics features (108 total features reflecting tumor morphology, signal intensity, and texture), and MVD (by histologic CD31 immunostaining) were measured in 27 patients (1/2016–7/2017). Lesions with high MVD levels demonstrated higher peak SER than lesions with low MVD (mean: 1.94 vs. 1.61, area under the receiver operating characteristic curve [AUC] = 0.79, p = 0.009) and higher WF (mean: 50.6% vs. 22.5%, AUC = 0.87, p = 0.001). Several radiomics texture features were also promising for predicting increased MVD (maximum AUC = 0.84, p = 0.002). Our study suggests DCE-MRI can non-invasively assess breast cancer angiogenesis, which could stratify biology and optimize treatments.
format article
author Jennifer Xiao
Habib Rahbar
Daniel S. Hippe
Mara H. Rendi
Elizabeth U. Parker
Neal Shekar
Michael Hirano
Kevin J. Cheung
Savannah C. Partridge
author_facet Jennifer Xiao
Habib Rahbar
Daniel S. Hippe
Mara H. Rendi
Elizabeth U. Parker
Neal Shekar
Michael Hirano
Kevin J. Cheung
Savannah C. Partridge
author_sort Jennifer Xiao
title Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
title_short Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
title_full Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
title_fullStr Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
title_full_unstemmed Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis
title_sort dynamic contrast-enhanced breast mri features correlate with invasive breast cancer angiogenesis
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/0f8d7b3018ba41d7a5fe7ee92554d97b
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