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. 2020 Apr 28;20:43. doi: 10.1186/s12880-020-00433-y

Table 3.

Diagnostic performance for T1 relaxation time and ADC value in evaluating MVI-positive HCC

Parameters AUC Thresholds Sensitivity Specificity Accuracy +LR -LR PPV NPV
T1 relaxation time
 Pre-contrast 0.587 1138.4a 78.9% 44.7% 58.5% 1.4 0.5 49.2% 75.8%
  95% CI 0.481–0.688 62.7–90.4% 313–58.5% 48.6–68.5% 1.1–1.9 0.2–0.9 36.1–62.3% 57.7–88.9%
862.1b 21.1% 91.1% 62.8% 2.4 0.9 61.5% 63.0%
9.6–37.3% 80.4–97.0% 52.3–72.5% 0.8–6.7 0.7–1.0 31.6–86.1% 51.5–73.4%
 Postcontrast 0.728 586.7a 57.9% 75.0% 68.1% 2.3 0.6 61.1% 72.4%
  95% CI 0.626–0.814 40.8–73.7% 61.6–85.6% 58.7–77.5% 1.4–3.9 0.40–0.80 43.5–76.9% 59.1–83.3%
679.4b 34.2% 91.1% 68.1% 3.8 0.7 72.2% 67.1%
19.6–51.4% 80.4–97.0% 58.7–77.5% 1.5–9.9 0.6–0.9 46.5–90.3% 55.4–77.5%
 Reduction rate 0.824 44.9%a 79.0% 73.2% 75.5% 3.0 0.3 66.7% 83.7%
  95% CI 0.732–0.895 62.7–90.4% 59.7–84.2% 66.9–84.2% 1.9–4.7 0.2–0.5 51.0–80.0% 70.3–92.7%
38.0%b 47.4% 91.1% 74.4% 5.3 0.6 78.3% 71.8%
31.0–64.2% 80.4–97.0% 64.5–82.3% 2.2–13.1 0.4–0.8 56.3–92.5% 59.9–81.9%
ADC 0.690 1553.5a 71.1% 66.1% 68.1% 2.1 0.4 58.7% 77.1%
 95% CI 0.586–0.781 51.1–84.6% 52.2–78.2% 58.7–77.5% 1.4–3.2 0.30–0.70 43.2–73.0% 62.7–88.0%
1339.1b 31.6% 92.9% 69.1% 4.8 0.7 76.5% 67.5%
17.5–48.7% 82.7–98.0% 59.8–78.5% 1.7–13.6 0.6–0.9 50.1–93.2% 55.9–77.8%
Reduction rate + ADC 0.864d 44.9% + 1553.5c 60.6% 91.8% 80.9% 7.4 0.4 80.0% 81.2%
 95% CI 0.776–0.952 42.2–76.6% 81.2–96.9% 72.9–88.9% 3.1–17.9 0.3–0.7 58.7–92.4% 69.6–89.2%

AUC Area under receiver operating characteristic curve, LR Likelihood ratio, PPV Positive predictive value, NPV Negative predictive value, CI Confidence intervals, ADC Apparent diffusion coefficient

a represents the cut-off values calculated though maximal Youden index in ROC analysis

b represents the optional thresholds that demonstrating a specificity just higher than 90% with a reliable higher sensitivity

c represents a proposed criteria of combining the reduction rate lower than 44.9% and the ADC value lower than 1553.5 s/mm2 that demonstrated the highest diagnostic accuracy of predicting MVI of HCC

d represents the AUC in ROC analysis was calculated based on the model of combining the reduction rate and the ADC in multivariate logistic regression model