View clinical trials related to Multiple Pulmonary Nodules.
Filter by: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.
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 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.
The primary objective of this study is to evaluate the performance of the Ion Endoluminal System with real-world use for pulmonary lesion localization or biopsy.
This is a pragmatic clinical trial that will study the effect of a radiomics-based computer-aided diagnosis (CAD) tool on clinicians' management of pulmonary nodules (PNs) compared to usual care. Adults aged 35-89 years with 8-30mm PNs evaluated at Penn Medicine PN clinics will undergo 1:1 randomization to one of two groups, defined by the PN malignancy risk stratification strategy used by evaluating clinicians: 1) usual care or 2) usual care + use of a radiomics-based CAD tool.
The aim of this research study is to evaluate the effectiveness of the ION endoluminal system at reaching and obtaining biopsies from lung nodules when used in combination with 3-dimensional imaging such as CT scans. Data on safety will also be collected.
Artificial intelligence (AI) based algorithms have demonstrated increased accuracy in predicting the risk of Lung Cancer among patients with an incidental pulmonary nodule (IPN) on chest radiographs. Qure.ai, an AI company specializing in the reading of chest X- Rays (CXRs) by a proprietary algorithm and has developed a new model, qXR, that can report the lung nodule malignancy score (LNMS) based on lung nodule features. Our study aims to prospectively validate the lung nodule malignancy score against radiologist assessment of CT scans and Lung CT Screening Reporting and Data System score (Lung-RADS).(lung RADS score explained below) Thus, lung nodule malignancy score (interpreted by qXR as a high or low category) will be compared with radiologist-based assessment probability of CT scan and Lung-RADS assessment. The results of this prospective observational study will pave the way for improved nodule management, leading to better clinical outcomes in patients with incidental pulmonary nodule (IPNs), especially concerning malignancy assessment.