Patient characteristics in all patients.

Patient characteristics in all patients.</p

Multivariate logistic regression of LDIs for diagnosis BO.

Multivariate logistic regression of LDIs for diagnosis BO.</p

Comparison of quantitative lung densitometry indices and conventional pulmonary function test results according to diagnosis.

Comparison of quantitative lung densitometry indices and conventional pulmonary function test results according to diagnosis.</p

S1 File -

(PDF)</p

Univariate and multivariate linear regression for lung density indices (LDIs) with conventional PFTs.

Univariate and multivariate linear regression for lung density indices (LDIs) with conventional PFTs.</p

ROC comparison between three prediction models for both readers.

AUC is increased by adding parameters to standard MRI. The 1st model: standard MRI alone, the 2nd model: standard MRI with posttreatment 2D ADCmean, the 3rd model: standard MRI with posttreatment 2D ADCmean and posttreatment 3D ADCskewness. post- = posttreatment; 2D = single-section ROI; 3D = whole-tumor volume; ROC = receiver operating characteristic; AUC = areas under the curve.</p

Diagnostic performances of 3D ADC measurement for treatment response.

Diagnostic performances of 3D ADC measurement for treatment response.</p

Flow diagram of the study.

MRI = magnetic resonance imaging.</p

Cut off, Sensitivity, specificity, and their area under the curve (AUC) with 95% CI of LDIs for diagnosis of BO.

Cut off, Sensitivity, specificity, and their area under the curve (AUC) with 95% CI of LDIs for diagnosis of BO.</p

Fig 1 -

Example of densitometry parameter measurements using the 3D chest CT of a representative subject in the A) inspiratory and B) expiratory phases.</p