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. 2023 Dec 22;14(1):800–813. doi: 10.21037/qims-23-685

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.