Skip to main content

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

From: HRCT features between lepidic-predominant type and other pathological subtypes in early-stage invasive pulmonary adenocarcinoma appearing as a ground-glass nodule

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

  1. 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