Tumour heterogeneity revealed by unsupervised decomposition of dynamic contrast-enhanced magnetic resonance imaging is associated with underlying gene expression patterns and poor survival in breast cancer patients

Tumour heterogeneity revealed by unsupervised decomposition of dynamic contrast-enhanced magnetic resonance imaging is associated with underlying gene expression patterns and poor survival in breast cancer patients

Abstract Background Heterogeneity is a common finding within tumours. We evaluated the imaging features of tumours based on the decomposition of tumoural dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data to identify their prognostic value for breast cancer survival and to explore t...

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Bibliographic Details
Main Authors: Ming Fan, Pingping Xia, Bin Liu, Lin Zhang, Yue Wang, Xin Gao, Lihua Li
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Breast Cancer Research
Subjects:
Convex analysis of mixtures
Dynamic magnetic resonance imaging
Recurrence-free survival
Gene pathway analysis
Breast cancer
Online Access:http://link.springer.com/article/10.1186/s13058-019-1199-8

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http://link.springer.com/article/10.1186/s13058-019-1199-8

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