View clinical trials related to Solitary Pulmonary Nodule.
Filter by:This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The Lunit INSIGHT CXR is a validation study that aims to assess the utility of an Artificial Intelligence-based (AI) chest X-ray (CXR) interpretation tool in assisting the diagnostic accuracy, speed, and confidence of a varied group of healthcare professionals. The study will be conducted using 500 retrospectively collected inpatient and emergency department CXRs from two United Kingdom (UK) hospital trusts. Two fellowship trained thoracic radiologists will independently review all studies to establish the ground truth reference standard. The Lunit INSIGHT CXR tool will be used to analyze each CXR, and its performance will be measured against the expert readers. The study will evaluate the utility of the algorithm in improving reader accuracy and confidence as measured by sensitivity, specificity, positive predictive value, and negative predictive value. The study will measure the performance of the algorithm against ten abnormal findings, including pulmonary nodules/mass, consolidation, pneumothorax, atelectasis, calcification, cardiomegaly, fibrosis, mediastinal widening, pleural effusion, and pneumoperitoneum. The study will involve readers from various clinical professional groups with and without the assistance of Lunit INSIGHT CXR. The study will provide evidence on the impact of AI algorithms in assisting healthcare professionals such as emergency medicine and general medicine physicians who regularly review images in their daily practice.
This is a study to determine how a virtual model for the management of lung nodules compares to a face-to-face clinic for patient satisfaction, quality of life and cost.
The researchers are aimed to investigate the dynamic evolution of indeterminate pulmonary nodules by a long-term follow-up of patients with different characteristics. Influence factors of clinical decision-making that might contribute to overtreatment or delayed treatment will also be studied.
Evaluate the clinical utility and early performance of the Cios 3D Mobile Spin in conjunction with the Ion Endoluminal System, to visualize and facilitate the sampling of pulmonary nodules between 1-3 cm via the airway.
Primary Objective Determine the prevalence of CAMLS in patients with pulmonary nodules. Secondary Objectives Determine the positive and negative predictive value of CAMLS in patients with pulmonary nodules who undergo biopsy. Model combinations of clinical factors with the presence/absence of CAMLS to refine strategies for assessment of patients with pulmonary nodules. Evaluate whether these measures result in enhanced T-cell activity and/or NK cell function and number
This study will compare two clinically accepted protocols for surveillance imaging in individuals who are found to have a small pulmonary nodule on chest computed tomography (CT) scans.