Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity
Quantitative Methods
2017-02-08 v3 Machine Learning
Abstract
Intratumor heterogeneity is often manifested by vascular compartments with distinct pharmacokinetics that cannot be resolved directly by in vivo dynamic imaging. We developed tissue-specific compartment modeling (TSCM), an unsupervised computational method of deconvolving dynamic imaging series from heterogeneous tumors that can improve vascular phenotyping in many biological contexts. Applying TSCM to dynamic contrast-enhanced MRI of breast cancers revealed characteristic intratumor vascular heterogeneity and therapeutic responses that were otherwise undetectable.
Keywords
Cite
@article{arxiv.1306.3392,
title = {Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity},
author = {Li Chen and Peter L. Choyke and Niya Wang and Robert Clarke and Zaver M. Bhujwalla and Elizabeth M. C. Hillman and Yue Wang},
journal= {arXiv preprint arXiv:1306.3392},
year = {2017}
}
Comments
Content: main manuscript, 31 pages