Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.

ABSTRACT:

Background

While important in diagnosis of breast cancer, the scientific assessment of the role of imaging in prognosis of outcomes and treatment planning is limited.

Purpose

To evaluate the potential of using quantitative imaging variables for stratifying risk of distant recurrence in breast cancer patients.

Study type

Retrospective.

Population

In all, 892 female invasive breast cancer patients.

Sequence

Dynamic contrast-enhanced MRI with field strength 1.5 T and 3 T.

Assessment

Computer vision algorithms were applied to extract a comprehensive set of 529 imaging features quantifying size, shape, enhancement patterns, and heterogeneity of the tumors and the surrounding tissue. Using a development set with 446 cases, we selected 20 imaging feature

SUBMITTER: Mazurowski MA 

PROVIDER: S-EPMC6551277 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature