Automated volumetric radiomic analysis of breast cancer vascularization improves survival prediction in primary breast cancer.

ABSTRACT: To investigate whether automated volumetric radiomic analysis of breast cancer vascularization (VAV) can improve survival prediction in primary breast cancer. 314 consecutive patients with primary invasive breast cancer received standard clinical MRI before the initiation of treatment according to international recommendations. Diagnostic work-up, treatment, and follow-up was done at one tertiary care, academic breast-center (outcome: disease specific survival/DSS vs. disease specific death/DSD). The Nottingham Prognostic Index (NPI) was used as the reference method with which to predict survival of breast cancer. Based on the MRI scans, VAV was accomplished by commercially available, FDA-cleared software. DSD served as endpoint. Integration of VAV into the NPI gave NPI_VAV. Pred

SUBMITTER: Dietzel M 

PROVIDER: S-EPMC7048934 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature