Cox model with hazard ratios and 95% confidence intervals of COPD associated with systemic lupus erythematosus and covariates.

†<p>Adjusted HR: multivariable analysis including for age, sex,</p><p>hypertension, diabetes, hyperlipidemia, CAD, CVA, and ESRD.</p><p>*p<0.05, ** p<0.01, *** p<0.001.</p

The incidence (%) of iatrogenic pneumothorax after bronchoscopy.

<p>The incidence (%) of iatrogenic pneumothorax after bronchoscopy.</p

The proportion of patients who needed a CT-guided biopsy for diagnosis after failure of bronchoscopy.

<p>The proportion of patients who needed a CT-guided biopsy for diagnosis after failure of bronchoscopy.</p

Demographic characteristics and comorbidities in patients with and without systemic lupus erythematosus.

<p>Chi-square test, ^#: Two sample t-test.</p

The comparative complication rates of bronchoscopy and CT-guided biopsy during the endobronchial bronchoscopy period.

<p>The comparative complication rates of bronchoscopy and CT-guided biopsy during the endobronchial bronchoscopy period.</p

The sex, age, and histological subtypes of lung cancer between the conventional bronchoscopy and endobronchial ultrasound periods.

<p>The sex, age, and histological subtypes of lung cancer between the conventional bronchoscopy and endobronchial ultrasound periods.</p

Sex- and age-specific incidence rates of COPD in subjects with and without systemic lupus erythematosus (SLE) and Cox model estimated hazard ratios for patients with SLE.

<p>Rate^#, incidence rate per 10,000 person-years.</p><p>IRR^*, incidence rate ratio.</p>†<p>Model was adjusted for age, sex, and comorbidities.</p>‡<p>Current smoking rate of general population in Taiwan (%).</p><p>* p<0.05, ** p<0.01, *** p<0.001.</p

Diagnostic modalities for tissue sampling and histological diagnosis for lung malignancy between the conventional bronchoscopy and endobronchial ultrasound periods.

<p>Diagnostic modalities for tissue sampling and histological diagnosis for lung malignancy between the conventional bronchoscopy and endobronchial ultrasound periods.</p

Cummulative incidence of COPD for subjects with and without systemic lupus erythematosus using the Kaplan–Meir method.

<p>Cummulative incidence of COPD for subjects with and without systemic lupus erythematosus using the Kaplan–Meir method.</p

Radiomic features analysis in computed tomography images of lung nodule classification

<div><p>Purpose</p><p>Radiomics, which extract large amount of quantification image features from diagnostic medical images had been widely used for prognostication, treatment response prediction and cancer detection. The treatment options for lung nodules depend on their diagnosis, benign or malignant. Conventionally, lung nodule diagnosis is based on invasive biopsy. Recently, radiomics features, a non-invasive method based on clinical images, have shown high potential in lesion classification, treatment outcome prediction.</p><p>Methods</p><p>Lung nodule classification using radiomics based on Computed Tomography (CT) image data was investigated and a 4-feature signature was introduced for lung nodule classification. Retrospectively, 72 patients with 75 pulmonary nodules were collected. Radiomics feature extraction was performed on non-enhanced CT images with contours which were delineated by an experienced radiation oncologist.</p><p>Result</p><p>Among the 750 image features in each case, 76 features were found to have significant differences between benign and malignant lesions. A radiomics signature was composed of the best 4 features which included Laws_LSL_min, Laws_SLL_energy, Laws_SSL_skewness and Laws_EEL_uniformity. The accuracy using the signature in benign or malignant classification was 84% with the sensitivity of 92.85% and the specificity of 72.73%.</p><p>Conclusion</p><p>The classification signature based on radiomics features demonstrated very good accuracy and high potential in clinical application.</p></div