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arxiv: 1306.3392 · v3 · pith:5YFPBI4Onew · submitted 2013-06-14 · 🧬 q-bio.QM · stat.ML

Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity

classification 🧬 q-bio.QM stat.ML
keywords dynamicvascularheterogeneityimagingintratumortscmunsupervisedapplying
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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.

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