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. 2022 Jan 20;95(1133):20211048. doi: 10.1259/bjr.20211048

Table 2.

Diagnostic performance of the quantitative-semantic model, radiomic models, and frozen section model for differentiating invasive adenocarcinomas from adenocarcinoma in situ/minimally invasive adenocarcinomas in the primary and validation cohorts

AUC Sensitivity Specificity Accuracy
Primary cohort
 Quantitative-semantic model 0.879 (0.801-0.935) 0.767 (0.614-0.882) 0.900 (0.795-0.960) 0.845 (0.760-0.909)
 Radiomic model of low-dose CT 0.929 (0.862-0.971) 0.907 (0.779-0.974) 0.867 (0.754-0.941) 0.883 (0.805-0.938)
 Radiomic model of standard-dose CT 0.941 (0.876-0.978) 0.814 (0.666-0.916) 0.950 (0.861-0.990) 0.893 (0.817-0.945)
 FS model 0.884 (0.805-0.938) 0.884 (0.749-0.961) 0.883 (0.774-0.952) 0.883 (0.805-0.938)
Validation cohort
 Quantitative-semantic model 0.897 (0.768-0.968) 0.737 (0.488-0.909) 0.920 (0.740-0.990) 0.841 (0.699-0.934)
 Radiomic model of low-dose CT 0.933 (0.815-0.986) 0.842 (0.604-0.966) 0.800 (0.593-0.932) 0.818 (0.673-0.918)
 Radiomic model of standard-dose CT 0.901 (0.773-0.970) 0.789 (0.544-0.939) 0.840 (0.639-0.955) 0.818 (0.673-0.918)
 FS model 0.828 (0.685-0.925) 0.737 (0.488-0.909) 0.920 (0.740-0.990) 0.841 (0.699-0.934)

AUC, area under curve; FS, frozen section. Numbers in the parentheses are 95% confidence interval