View clinical trials related to Pneumothorax; Acute.
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.
Pneumothorax is a common life-threatening complication, frequently seen in patients who have been admitted to the emergency department and intensive care unit. This study aimed to describe the features of patients with pneumothorax due to blunt or penetrating trauma. A total of 615 patients admitted to the emergency department between January 2008 and December 2010 due to multi-trauma, and underwent both chest x-ray and computed chest tomography were included in the study. There were 157 patients with a diagnosis of pneumothorax. Fifty-five of them were excluded because of the eligible criteria. The final study population included 105 patients. The computed chest tomography reading was considered as the gold standard for the occult pneumothorax diagnosis. Data on patient characteristics, trauma types, accompanied traumas, etiology of the chest trauma, and chest x-ray, and computed chest tomography results were recorded.