View clinical trials related to Multiple Pulmonary Nodules.
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.
Early diagnosis of LC in the asymptomatic stage through intentional screening programs and/or incidental pulmonary nodule identification and follow-up are known to improve outcomes significantly. There are large gaps in the screening and early detection of LC, especially in LMIC - driven by multifactorial aspects, including a variety of socioeconomic and infrastructural factors, mainly due to limitations in the required network of specialized human resources and technical capacity. Identifying LC at an early stage allows for treatment that is more likely to be curative, thereby improving survival. The present study aims to characterize the lung nodule journey in different hospitals/clinics across Latin America, describing the use of health resources, time to diagnosis, stage at diagnosis, and time to treatment depending on the source of nodule identification in two different cohorts (retrospective and prospective).
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.
evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in the detection of pulmonary nodules.
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
The goal of this prospective, multi-center, single-arm, clinical study is to evaluate the clinical utility and performance of the FDA-cleared Ion™ Endoluminal System ("Ion") for bronchoscopically approaching and facilitating the tissue sampling of pulmonary nodules.
AnchorDx is using circulating tumor DNA (ctDNA) methylation analysis by next-generation sequencing (NGS) to develop a blood-based assay for differentiating benign and malignant pulmonary nodules early. The purpose of this study is to evaluate the diagnostic performance of this assay in patients with pulmonary nodules.
The objective of this study is to evaluate the outcomes of radiofrequency ablation in the treatment of patients with malignant pulmonary nodules（not exceed 3cm ）who are not suitable candidates for or refuse surgical resection.