Background: Lung nodules are a diagnostic challenge, with an estimated yearly incidence of 1.6 million in the United States. This study evaluated the accuracy of an integrated proteomic classifier in
Abstract Objective: To evaluate the diagnostic performance of computed tomography (CT) fluoroscopy-guided percutaneous transthoracic needle biopsy (PTNB) in pulmonary nodules ≤ 10 mm during the corona
Large lung nodules are not currently stratified well by existing clinical guidelines. Here we provide the data needed to generate the 'large nodule radiomics predictive vector' as described in 'A Radi
Description of SPN’s characteristics according to the clinical management strategy after the detection of a SPN (for Chest radiograph and CT) and lung cancer diagnosis after 18 months of follow-up*.