Corrigendum: Prediction of EGFR Mutation Status Based on ¹⁸F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma

In the original article, there was a mistake in Table 2 as published. The clinical model was changed in the process of revising the manuscript. Due to our negligence, the AUC, sensitivity, and specificity of the clinical model for the training dataset were not correctly revised. The corrected Table 2 appears below.

Table 2.

Predictive performance of different models in the training dataset.

	AUC (95% CI)	Sensitivity (%)	Specificity (%)	Accuracy (%)
StackPET-CT	0.86 (0.80-0.91)	71.75	84.38	75.25
SECT	0.74 (0.67-0.80)	82.35	53.12	67.17
SEPET	0.75 (0.69-0.81)	86.25	56.25	72.22
Clinical model	0.63 (0.55-0.69)	50.98	71.88	60.10

The bold values represented the highest one of the evaluation indices.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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