Ontology highlight
ABSTRACT: Purpose
The tumor-associated vasculature (TAV) differs from healthy blood vessels by its convolutedness, leakiness, and chaotic architecture, and these attributes facilitate the creation of a treatment-resistant tumor microenvironment. Measurable differences in these attributes might also help stratify patients by likely benefit of systemic therapy (e.g., chemotherapy). In this work, we present a new category of computational image-based biomarkers called quantitative tumor-associated vasculature (QuanTAV) features, and demonstrate their ability to predict response and survival across multiple cancer types, imaging modalities, and treatment regimens involving chemotherapy.Experimental design
We isolated tumor vasculature and extracted mathematical measurements of twistednes
SUBMITTER: Braman N
PROVIDER: S-EPMC9588630 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature