Literature DB >> 33863924

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

Jennifer Xiao1, Habib Rahbar1,2, Daniel S Hippe1, Mara H Rendi3, Elizabeth U Parker3, Neal Shekar1, Michael Hirano1, Kevin J Cheung4,5, Savannah C Partridge6,7.   

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.

Entities:  

Year:  2021        PMID: 33863924     DOI: 10.1038/s41523-021-00247-3

Source DB:  PubMed          Journal:  NPJ Breast Cancer        ISSN: 2374-4677


  47 in total

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Journal:  Cancer Treat Rev       Date:  2017-01-03       Impact factor: 12.111

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3.  Vascular proliferation is a prognostic factor in breast cancer.

Authors:  Jarle B Arnes; Ingunn M Stefansson; Oddbjørn Straume; Jan P Baak; Per E Lønning; William D Foulkes; Lars A Akslen
Journal:  Breast Cancer Res Treat       Date:  2011-09-27       Impact factor: 4.872

4.  Tumor angiogenesis and bone metastasis - Correlation in invasive breast carcinoma.

Authors:  Chong Sun; Jianmin Li; Bin Wang; Junjie Shangguan; Matteo Figini; Na Shang; Liang Pan; Zhuoli Zhang
Journal:  J Immunol Methods       Date:  2017-10-21       Impact factor: 2.303

5.  Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma.

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Journal:  N Engl J Med       Date:  1991-01-03       Impact factor: 91.245

6.  Comparison of Microvessel Density with Prognostic Factors in Invasive Ductal Carcinomas of the Breast.

Authors:  Ebru Şener; Sare Şipal; Cemal Gündoğdu
Journal:  Turk Patoloji Derg       Date:  2016

7.  Angiogenesis, assessed by platelet/endothelial cell adhesion molecule antibodies, as indicator of node metastases and survival in breast cancer.

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Journal:  Lancet       Date:  1992-11-07       Impact factor: 79.321

Review 8.  Microvessel density as a prognostic factor in women with breast cancer: a systematic review of the literature and meta-analysis.

Authors:  Bernard Uzzan; Patrick Nicolas; Michel Cucherat; Gérard-Yves Perret
Journal:  Cancer Res       Date:  2004-05-01       Impact factor: 12.701

9.  Identification of angiogenesis in primary breast carcinoma according to the image analysis.

Authors:  Sung-Won Kim; Sung-Shin Park; Soo-Jung Ahn; Ki-Wook Chung; Woo Kyung Moon; Jung-Gi Im; Jeong Seok Yeo; June-Key Chung; Dong-Young Noh
Journal:  Breast Cancer Res Treat       Date:  2002-07       Impact factor: 4.872

Review 10.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

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  3 in total

1.  Contrast-enhanced CT radiomics for prediction of recurrence-free survival in gallbladder carcinoma after surgical resection.

Authors:  Fei Xiang; Xiaoyuan Liang; Lili Yang; Xingyu Liu; Sheng Yan
Journal:  Eur Radiol       Date:  2022-05-25       Impact factor: 7.034

Review 2.  Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction.

Authors:  Meredith A Jones; Warid Islam; Rozwat Faiz; Xuxin Chen; Bin Zheng
Journal:  Front Oncol       Date:  2022-08-31       Impact factor: 5.738

3.  Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Monoclonal Antibody Tumor Disposition.

Authors:  Brandon M Bordeau; Joseph Ryan Polli; Ferdinand Schweser; Hans Peter Grimm; Wolfgang F Richter; Joseph P Balthasar
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

  3 in total

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