Table 2 Prediction performance on the test set. Performance metrics are given for each model and the target variables TR and MRD separately.

From: Automated radiomics model for prediction of therapy response and minimal residual disease from baseline MRI in multiple myeloma

 

Performance

Metrics

Radiomics Features Only Model (I)

Radiomics Features +

Confounders Model (II)

Radiomics +

Clinical Features Model (III)

Clinical Features Only Model (IV)

TR

AUROC (95%CI)

0.70 (0.49–0.91)

0.69 (0.47–0.91)

0.69 (0.47–0.91)

0.63 (0.41–0.85)

 

Sensitivity

0.86

0.75

0.93

0.93

 

Specificity

0.55

0.64

0.45

0.45

 

F1-Score

0.84

0.79

0.87

0.87

MRD

AUROC (95%CI)

0.53 (0.34–0.72)

0.52 (0.33–0.71)

0.54 (0.34–0.73)

0.35 (0.17–0.53)

Sensitivity

0.30

0.35

0.35

1.00

Specificity

0.95

0.89

0.89

0.11

F1-Score

0.44

0.48

0.48

0.70