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. 2019 Nov 14;9:1203. doi: 10.3389/fonc.2019.01203

Table 1.

Diagnostic performance of DOSM, DM, DOM, and GM for MVI classification.

Model type AUC (%, 95% CI) Accuracy (%) Sensitivity (%) Specificity (%)
DOSM 95.01 (0.835–0.993) 92.86 85.71 100
DOM 91.84 (0.792–0.980) 88.1 80.95 95.24
DM 90.93 (0.780–0.976) 85.71 80.95 90.48
GM 85.94 (0.717–0.947) 83.33 80.95 85.71

AUC, area under the receiver operating characteristic curve; DOSM, MVI prediction model based on DEA feature map, OND feature map and SDSD feature map of ORF signals; DM, MVI prediction model based on DEA feature map; DOM, MVI prediction model based on DEA feature map and OND feature map; GM, MVI prediction model based on gray-scale ultrasound image.