Table 3.

Performance Evaluation of Radiomics Models Utilizing Multi-scale VOIs for Predicting IMA.

Models	AUC	Accuracy	SEN	SPE
VOI −2mm-based radiomics model	0.805 (0.708-0.903)	0.764 (0.763-0.764)	0.828 (0.690-0.965)	0.759 (0.719-0.800)
VOI −entire-based radiomics model	0.819 (0.751-0.887)	0.731 (0.730-0.732)	0.759 (0.603-0.914)	0.729 (0.687-0.771)
VOI +2mm-based radiomics model	0.832 ( 0.753-0.911)	0.811 (0.811-0.812)	0.793 (0.646-0.941)	0.812 (0.776-0.849)
VOI +4mm-based radiomics model	0.670 (0.546-0.793)	0.772 (0.771-0.773)	0.586 (0.407-0.765)	0.785 (0.746-0.823)

Abbreviation: AUC, Area under curve; SEN, Sensitivity; SPE, Specificity; VOI, Volume of internet; IMA, Invasive mucinous adenocarcinoma; SPN, solitary pulmonary nodules.