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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2021
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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) |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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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 |
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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 |
work_keys_str_mv |
AT jenniferxiao dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT habibrahbar dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT danielshippe dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT marahrendi dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT elizabethuparker dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT nealshekar dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT michaelhirano dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT kevinjcheung dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis AT savannahcpartridge dynamiccontrastenhancedbreastmrifeaturescorrelatewithinvasivebreastcancerangiogenesis |
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1718378733069402112 |