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. 2023 Feb 19;23:33. doi: 10.1186/s12880-023-00988-6

Table 6.

Diagnostic accuracy of the four reconstruction algorithms

DLR MBIR HIR FBP
Sensitivity 98.4% (95% CI, 90.0–99.9%) 96.7% (95% CI, 87.6–99.4%) 95.1% (95% CI, 85.4–98.7%) 93.4% (95% CI, 83.3–97.9%)
Specificity 97.2% (95% CI, 92.5–99.1%) 95.7% (95% CI, 90.6–98.3%) 96.5% (91.6–98.7%) 93.7% (95% CI, 88.0–96.9%)
PPV 93.8% (95% CI, 84.0–98.0%) 90.8% (95% CI, 80.3–96.2%) 92.1% (95% CI, 81.7–97.0%) 86.4% (95% CI, 75.2–93.2%
NPV 99.3% (95% CI, 95.5–100.0%) 98.6% (95% CI, 94.3–99.7%) 97.9% (95% CI, 93.4–99.4%) 97.1% (95% CI, 92.2–99.1%)

PPV positive predictive value, NPV negative predictive value, all p > 0.05