Breast cancer Ki67 expression prediction by DCE-MRI radiomics features

Volume: 73, Issue: 10, Pages: 909.e1 - 909.e5
Published: Oct 1, 2018
Abstract
•Quantitative radiomics imaging features of DCE-MRI are extracted and analyzed. •A predictive model for breast cancer low- and high-Ki67 expression is proposed. •The model yields 0.773 AUC, 0.757 accuracy, 0.777 sensitivity and 0.769 specificity. Aim To investigate whether quantitative radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are associated with Ki67 expression of breast cancer. Materials...
Paper Details
Title
Breast cancer Ki67 expression prediction by DCE-MRI radiomics features
Published Date
Oct 1, 2018
Volume
73
Issue
10
Pages
909.e1 - 909.e5
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