Journal Section:
Erratum

In the article ‘Tumor Radiomic Features on Pretreatment MRI to Predict Response to Lenvatinib plus an Anti-PD-1 Antibody in Advanced Hepatocellular Carcinoma: A Multicenter Study’ [Liver Cancer. 2023;12(3):262–276. https://doi.org/10.1159/000528034] by Xu et al., after publication, the authors found an error in Table 3, which represents the performance of the clinicopathologic-radiomic model on the validation cohort. The Area Under the Curve (AUC) with its 95% Confidence Interval (CI) was incorrectly listed in Table 3 as ‘0.876 (0.750–1.000)’, while the correct value should be listed as ‘0.884 (0.762–1.000).’

The corrected Table 3 is shown here.

Table 3.

ROC analyses of prediction models

AUC (95% CI)*Cut-offNumerator/denominator (%)
AccSensSpecPPVNPV
Clinicopathologic model 
Training cohort 0.748 (0.656–0.840) 0.614 105/124 (84.7) 18/37 (48.6) 87/87 (100) 18/18 (100) 87/106 (82.1) 
Validation cohort 0.702 (0.547–0.884) 33/46 (71.7) 4/13 (30.8) 29/33 (87.9) 4/8 (50.0) 29/38 (76.3) 
Radiomic model 
Training cohort 0.886 (0.815–0.957) 0.504 114/124 (91.9) 30/37 (81.1) 84/87 (96.6) 30/33 (90.9) 84/91 (92.3) 
Validation cohort 0.820 (0.648–0.984) 40/46 (87.0) 8/13 (61.5) 32/33 (97.0) 8/9 (88.9) 32/37 (86.5) 
Clinicopathologic-radiomic model 
Training cohort 0.987 (0.968–1.000) 0.443 121/124 (97.6) 37/37 (100) 84/87 (96.6) 37/40 (92.5) 84/84 (100) 
Validation cohort 0.884 (0.762–1.000) 39/46 (84.8) 9/13 (69.2) 30/33 (90.9) 9/12 (75.0) 30/34 (88.2) 
AUC (95% CI)*Cut-offNumerator/denominator (%)
AccSensSpecPPVNPV
Clinicopathologic model 
Training cohort 0.748 (0.656–0.840) 0.614 105/124 (84.7) 18/37 (48.6) 87/87 (100) 18/18 (100) 87/106 (82.1) 
Validation cohort 0.702 (0.547–0.884) 33/46 (71.7) 4/13 (30.8) 29/33 (87.9) 4/8 (50.0) 29/38 (76.3) 
Radiomic model 
Training cohort 0.886 (0.815–0.957) 0.504 114/124 (91.9) 30/37 (81.1) 84/87 (96.6) 30/33 (90.9) 84/91 (92.3) 
Validation cohort 0.820 (0.648–0.984) 40/46 (87.0) 8/13 (61.5) 32/33 (97.0) 8/9 (88.9) 32/37 (86.5) 
Clinicopathologic-radiomic model 
Training cohort 0.987 (0.968–1.000) 0.443 121/124 (97.6) 37/37 (100) 84/87 (96.6) 37/40 (92.5) 84/84 (100) 
Validation cohort 0.884 (0.762–1.000) 39/46 (84.8) 9/13 (69.2) 30/33 (90.9) 9/12 (75.0) 30/34 (88.2) 

Acc, accuracy; AUC, area under the receiver operating characteristic curve; CI, confidence interval; NPV, negative predictive value; PPV, positive predictive value; Sens, sensitivity; Spec, specificity.

*Calculated with bootstrap resampling (n = 1,000).

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