Radiomics based on enhanced CT for differentiating between pulmonary tuberculosis and pulmonary adenocarcinoma presenting as solid nodules or masses

Ai B(2020)Efficacy and safety of bevacizumab in advanced lung adenocarcinoma patients with stable disease after two cycles of first-line chemotherapy: a multicenter prospective cohort study Thorac Cancer 11 3641-3644

Zhang L(2019)Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas Radiology 290 783-792

Huang D(2007)Tuberculosis: a radiologic review Radiographics 27 1255-1273

Chen J(2009)The pulmonary nodule: clinical and radiological characteristics affecting a diagnosis of malignancy Radiol Med 114 871-889

Liu Z(2020)A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules Cancer Imaging 20 45-4963

Hu X(2020)Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study Cancer Imaging 20 24-121

Zhou S(2021)Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules Sci Rep 11 3633-5212

Hu Y(2020)Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics Eur Radiol 30 4952-2489

Zhao J(2015)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement J Clin Epidemiol 682 112-6507

Yang F(2020)Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans World J Clin Cases 8 5203-131

Ai B(2020)Efficacy and safety of bevacizumab in advanced lung adenocarcinoma patients with stable disease after two cycles of first-line chemotherapy: a multicenter prospective cohort study Thorac Cancer 11 3641-3644

Zhang L(2019)Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas Radiology 290 783-792

Huang D(2007)Tuberculosis: a radiologic review Radiographics 27 1255-1273

Chen J(2009)The pulmonary nodule: clinical and radiological characteristics affecting a diagnosis of malignancy Radiol Med 114 871-889

Liu Z(2020)A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules Cancer Imaging 20 45-4963

Hu X(2020)Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study Cancer Imaging 20 24-121

Zhou S(2021)Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules Sci Rep 11 3633-5212

Hu Y(2020)Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics Eur Radiol 30 4952-2489

Zhao J(2015)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement J Clin Epidemiol 682 112-6507

Yang F(2020)Radiomics model for distinguishing tuberculosis and lung cancer on computed tomography scans World J Clin Cases 8 5203-131