EGFR and lung cancer: extracted features from T1CE of 61 patients comprising 210 BMs with a size > 5 mm, and used several machine-learning algorithms to predict the EGFR gene mutation status of primary lung cancer, reaching an accuracy of 86.7% (AUC, 0.868) (15).