has recently been increased interest in quantitative MR parameters for
assessing tumor proliferation. A total of 134 consecutive patients with
pathologically-proven invasive ductal carcinoma were retrospectively evaluated.
We extracted the whole-tumor histogram and textural features from an ADC map
and DCE-MRI semi-quantitative maps. The LASSO for feature
selection and the KNN algorithm for classification were performed.
Classifications performed between Ki-67-positive and Ki-67-negative groups
resulted in an accuracy of 75.4% using three texture features, whereas
classification with only the entropy of ADC yielded an accuracy of 74.6%.