ArticlePloS one2014
Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- MRI Radiogenomics in Precision Oncology: New Diagnosis and Treatment Method.Computational intelligence and neuroscience · 2022Review
- 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.Breast cancer research : BCR · 2019Article
- 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.European radiology · 2019Article
- Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.IEEE transactions on neural networks and learning systems · 2018Article
- Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues.Scientific reports · 2016Article
- The Application of Radiomics in Breast MRI: A Review.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
With the existence of biologically distinctive malignant cells originated within the same tumor, intratumor functional heterogeneity is present in many cancers and is often manifested by the intermingled vascular compartments with distinct pharmacokinetics. However, intratumor vascular heterogeneity cannot be resolved directly by most in vivo dynamic imaging. We developed multi-tissue compartment modeling (MTCM), a completely unsupervised method of deconvoluting dynamic imaging series from heterogeneous tumors that can improve vascular characterization in many biological contexts. Applying MTCM to dynamic contrast-enhanced magnetic resonance imaging of breast cancers revealed characteristic intratumor vascular heterogeneity and therapeutic responses that were otherwise undetectable. MTCM is readily applicable to other dynamic imaging modalities for studying intratumor functional and phenotypic heterogeneity, together with a variety of foreseeable applications in the clinic.
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Registered trials
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