作者: Pavitra Kannan , Warren W Kretzschmar , Helen Winter , Daniel Warren , Russell Bates
DOI: 10.1158/1078-0432.CCR-18-0033
关键词: Neovascularization 、 Human liver 、 Antiangiogenic therapy 、 In vivo 、 Pathology 、 Text mining 、 Magnetic resonance imaging 、 Vascular morphology 、 Medicine 、 Cancer
摘要: Purpose: Tumor vessels influence the growth and response of tumors to therapy. Imaging vascular changes in vivo using dynamic contrast-enhanced MRI (DCE-MRI) has shown potential guide clinical decision making for treatment. However, quantitative MR imaging biomarkers function have not been widely adopted, partly because their relationship structural remains unclear. We aimed elucidate relationships between vessel morphology Experimental Design: Untreated preclinical with different levels vascularization were imaged sequentially DCE-MRI CT. Relationships functional parameters from (iAUC, K trans, BATfrac) CT (vessel volume, radius, tortuosity) assessed linear models. Tumors treated anti-VEGFR2 antibody then determine whether antiangiogenic therapy altered these relationships. Finally, functional-structural measured 10 patients liver metastases colorectal cancer.Results: Functional iAUC trans primarily reflected volume untreated tumors. The varied spatially tumor vascularity, by In human metastases, all three linearly correlated For iAUC, also modified each other's effect.Conclusions: Our findings suggest that are linked can affect this link. work demonstrates feasibility three-dimensional validation improve biological interpretation utility. Clin Cancer Res; 24(19); 4694-704. ©2018 AACR.