Table 4.

Comparison of the mean CT value, CTR, and ROC curve of the logistic regression model to distinguish IPA between the n-LPA and LPA groups

Factor	AUC value (95% confidence interval)	Cutoff value	Sensitivity (%)	Specificity (%)	P
Mean CT value	0.781 (0.744–0.818)	−472.5 HU	60.5%	83.1%	< 0.001
CTR	0.593 (0.547–0.639)	27.4%	38.4%	83.9%	< 0.001
Logistic model	0.840 (0.808–0.871)	3.958	76.4%	78.7%	< 0.001

Cutoff value: The cutoff value of ROC curve of logistic regression model is the factor value or predictive probability value of the model and the maximum value of Youden’s index. LPA Lepidic-predominant adenocarcinoma, n-LPA Nonlepidic-predominant adenocarcinoma, CTR Consolidation-to-tumor ratio, AUC Area under the curve. P < 0.05 was considered statistically significant