Table 3. Quantitative evaluation of VCModule for six classes in the Luhe and Xuanwu Hospital datasets.
Dataset | Class | Sensitivity | Specificity | PPV | NPV | F1 score |
---|---|---|---|---|---|---|
Lehe dataset (Train) | OVCF | 0.984 | 0.991 | 0.939 | 0.998 | 0.961 |
OF | 0.886 | 0.998 | 0.954 | 0.994 | 0.919 | |
SN | 0.713 | 0.998 | 0.781 | 0.997 | 0.745 | |
KD | 0.917 | 1.000 | 0.963 | 0.999 | 0.939 | |
PS | 0.993 | 1.000 | 1.000 | 1.000 | 0.997 | |
Lehe dataset (Test) | OVCF | 0.958 | 0.986 | 0.910 | 0.994 | 0.934 |
OF | 0.808 | 0.996 | 0.911 | 0.991 | 0.856 | |
SN | 0.756 | 0.995 | 0.532 | 0.998 | 0.624 | |
KD | 0.913 | 0.999 | 0.913 | 0.999 | 0.913 | |
PS | 0.997 | 0.999 | 0.986 | 1.000 | 0.992 | |
Xuanwu dataset (Test) | OVCF | 0.980 | 0.957 | 0.775 | 0.997 | 0.866 |
OF | 0.741 | 0.997 | 0.860 | 0.994 | 0.796 | |
SN | 0.213 | 1.000 | 0.842 | 0.994 | 0.340 | |
KD | 0.874 | 1.000 | 0.982 | 0.998 | 0.925 | |
PS | 0.970 | 1.000 | 0.991 | 0.999 | 0.980 |
VCModule, vertebra classification module; PPV, positive predictive value; NPV, negative predictive value; OVCF, osteoporotic vertebral compression fractures; OF, old fracture; SN, Schmorl’s node; KD, Kummell’s disease; PS, previous surgery.