Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer-Reference-Cited by-同舟云学术

Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer

Published:2019-01-07 Issue:8 Volume:29 Page:4456-4467
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Fan Ming,Zhang Peng,Wang Yue,Peng Weijun,Wang Shiwei,Gao Xin,Xu Maosheng,Li Lihua

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province of China

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00330-018-5891-3.pdf

Reference37 articles.

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4. Wan T, Bloch BN, Plecha D et al (2016) A radio-genomics approach for identifying high risk estrogen receptor-positive breast cancers on DCE-MRI: preliminary results in predicting OncotypeDX risk scores. Sci Rep 6:21394

5. Chang RF, Chen HH, Chang YC, Huang CS, Chen JH, Lo CM (2016) Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI. Magn Reson Imaging 34:809–819

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