View clinical trials related to Multiple Pulmonary Nodules.
Filter by:Some studies have shown that the model for judging and predicting the growth of sub-solid pulmonary nodules through big data and deep learning can detect nodule growth earlier. Since most of the training data come from large foreign samples, most of the validated data are CT data from a single center or a few centers, and their generalization ability needs to be further verified. In order to better study subsolid pulmonary nodules in the lungs in China, we plan to conduct a prospective, multicenter, non-interventional observational cohort study.
The goal of this observational study is to learn how a physician uses the results of the Percepta® Nasal Swab test to manage people with a newly identified pulmonary nodule. The main questions it aims to answer are: - Does the use of the Percepta Nasal swab test reduce the number of invasive procedures in people with a low-risk result and whose nodule is benign? - Does the use of the Percepta Nasal swab test decrease the time to treatment in people with a high-risk result and whose nodule is cancer? Participants will be randomly assigned to either a group where the test result is provided to the physician (test arm) or to a group where the test result is not provided (control arm). Researchers will compare management of participants in the two groups.
This study aims to conduct a large-sample randomized controlled clinical trial, using traditional CT-guided thoracic puncture localization as a comparison, to explore the accuracy, safety and clinical advantages of Intelligent AR glasses in assisting preoperative localizing of small pulmonary nodules.
Multi-center randomized controlled study designed to compare the diagnostic yield of ION™ Endoluminal System with electromagnetic navigation bronchoscopy in patients undergoing transbronchial sampling procedure of peripheral pulmonary nodules.
Objectives: The main drawback of the hook-wire technique for locating ground glass nodules before video assisted thoracoscopic surgery (VATS) resection is the risk of the hook dislodging during single lung ventilation as the lung collapses. In order to reduce the friction of the thread in the wall, the investigators modified the technique by first positioning a catheter in the chest wall and introducing the carrying needle through the catheter. The objective was to evaluate the success rate and complications of this technique. Material and Methods : the investigators retrospectively included all patients undergoing VATS resection of solitary lung nodules after localization using the sliding wire technique.
The goal of this observational clinical trial is to evaluate the value of circulating tumor cell detection in the early diagnosis of malignant pulmonary nodule. The main questions it aims to answer is: the sensitivity and specificity of peripheral blood circulating tumor cell detection in differentiating benign and malignant pulmonary nodules (<3cm). Participants will be asked provide 4mL of peripheral blood for the test.
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 prospective, multicenter observational study aim at estimating the potential clinical utility of the CBM and at establishing the SOPs and protocols for a future randomized control trial.
The goal of this observational clinical trial is to establish a new method for differentiating benign and malignant pulmonary nodules by peripheral blood detection in patients with pulmonary nodules (<3cm). The main questions it aims to answer is: How to combine blood metabolomic mass spectrometry detection and artificial intelligence image analysis to establish a new model for differentiating benign and malignant pulmonary nodules. Participants will be asked provide 4 mL peripheral blood for the test.
It is planned to use the CLE probe and cryoprobe simultaneously after detection of the round focus. It is planned to include 5 patients with suspected central airway invading lung carcinoma and 15 patients with suspected peripheral lung carcinoma who have an indication for bronchoscopic histologic confirmation.