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. 2020 May 19;10:534. doi: 10.3389/fonc.2020.00534

Table 3.

Stratification analysis of HMDT on training and validation cohorts.

Subpopulation Training cohort (n = 204) Validation cohort (n = 88)
AUC (95% CI) ACC SEN SPE AUC (95% CI) ACC SEN SPE
Age
     <44 0.971
(0.921, 1)
0.941 0.946 0.933 0.894
(0.797, 0.990)
0.829 0.846 0.800
    ≥44 0.991
(0.948, 1)
0.966 0.982 0.954 0.933
(0.865, 1)
0.894 0.900 0.889
Tumor shape
    Yes 1 0.950 1 0.889 0.930
(0.805, 1)
0.667 1 0.500
    No 0.983
(0.963,1)
0.962 0.980 0.941 0.924
(0.866,0.982)
0.863 0.829 0.906
Dural tail sign
    Yes 0.983
(0.957, 1)
0.929 1 0.904 0.944
(0.849, 1)
0.739 1 0.667
    No 0.978
(0.945, 1)
0.970 0.989 0.930 0.904
(0.931, 0.976)
0.831 0.878 0.750
WHO grade I meningiomas 0.988
(0.968, 1)
0.968 0.973 0.961 0.914
(0.854, 0.973)
0.854 0.848 0.861
Angiomatous meningiomas 0.997
(0.992, 1)
0.978 0.991 0.920 0.913
(0.816, 1)
0.873 0.935 0.556

AUC, area under the curve; CI, confidence interval; ACC, accuracy; SEN, sensitivity; SPE, specificity.