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. Author manuscript; available in PMC: 2021 Jun 1.
Published in final edited form as: Magn Reson Imaging. 2020 Mar 13;69:49–56. doi: 10.1016/j.mri.2020.03.002

Table 2.

Performance data for EGFR, ALK, and KRAS mutation classification models using both clinical data and radiomic features.

Mutation Accuracy AUC* Sensitivity Specificity Number of lesions
EGFR 77.7% 0.912 73.1% 90.6% 335
ALK 86.7% 0.915 76.1% 88.7% 71
KRAS 96.7% 0.985 89.3% 97.7% 56
*

AUC: area under the receiver operating characteristic curve

Note: Number of lesions indicates the lesions for each positive gene mutation, i.e., EGFR, or ALK, or KRAS. In the classification of each mutation status, the total number of 462 lesions were divided into two classes for each mutation, those positive to the particular mutation versus the rest of the lesions.