Active clinical trials for "Multiple Pulmonary Nodules"

After performing VATS pulmonary wedge resections, a chest tube is routinely left in the pleural cavity to drain possible air leaks and fluid accumulations. Chest tubes after VATS pulmonary wedge resections are left in place a minimum of 1 day. However, this practice has no scientific foundations. The investigators believe it is possible to avoid the placement of a chest tube after this procedure in a great amount of patients. This is a randomized controlled clinical trial with analysis blinding in which the investigators want to compare the outcomes between installing a chest tube or not after VATS pulmonary wedge resections. The investigators will include consecutively patients with interstitial lung disease or indeterminate pulmonary nodules undergoing this procedure, at the participating institutions. The investigators calculated a sample size of 50 subjects in each group using pneumothorax < 10% data from Luckraz et al and to determine a difference of hospital stay of 2 versus 1 day; DS(1.5), power = 0.9 and alpha = 0.05.

The study is aimed at verifying if a pulmonologist can reliably assess the tumor burden for the extractive molecular analysis in ROSE samples obtained with endoscopic sampling procedures from intrathoracic lymphadenopathy and pulmonary nodules.

The objectives of this study are to evaluate intraoperative percutaneous lung lesion marking assisted by electromagnetic guided percutaneous navigation and related tools.

This study is a retrospective multi-center chart review of patients who underwent an attempted biopsy of one or more pulmonary lesion(s) with the Ion Endoluminal System with the aim of assessing the overall performance of the system.

The primary Study hypothesis is that the ProLung Test will demonstrate safety and efficacy in the risk stratification of patients with pulmonary lesions identified by CT that are suspicious for lung cancer. A statistically significant result will indicate that patients with a high ProLung Test result have a greater risk of developing lung cancer than patients with a low test result. There are three Specific Aims of this study: Optimize and confirm the stability of the ProLung Test risk-stratification algorithm in patients with a diagnosis. Externally validate the efficacy of the ProLung Test risk-stratification algorithm by comparing the test result to the conclusive patient diagnosis. Assess the safety and tolerability of the ProLung Test procedures. Study Design This Study consists of two distinct phases, Stabilization and Validation. The Study will collect data from multiple sites (3 to 12), and each site may enroll patients and collect data for the Stabilization and Validation Phases with a minimum of three sites for the Validation Phase.

Patients found pulmonary nodules by CT screening by will be enrolled in this study prospectively. Plasma cfDNA sequencing of these patients will be used to diagnose and monitor benign and malignant pulmonary nodules.

Computed tomography (CT) is critical for the diagnosis of lung nodules as well as for therapeutic management. Repeated CT examinations will raise the issue of the cumulative radiation dose and subsequent risk of cancer, thus pushing the need for imaging techniques using low or no radiation dose. Magnetic Resonance Imagery (MRI) with ultrashort echo time (UTE) pulse sequences with high signal-to-noise and spatial resolution is a promising alternative for lung nodules imaging.The purpose of the study is to evaluate the value of dynamic contrast-enhanced MR imaging (DCE-MRI) to discriminate of malignant from benign lesions.

The purpose of this study is to determine whether J-shaped thoracophrenolaparotomy is effective in the surgical treatment of simultaneous liver and right lung metastases from colorectal cancer

A Study to evaluate the utility of the ProLung Test as an adjunct to CT scan in the diagnosis of lung cancer.

We will perform an ultra low-dose CT (ULDCT) in addition to a regular chest CT scan for adult patients undergoing a clinically indicated chest CT. Using a recently developed computationally efficient algorithm for the denoising of ULDCT scans after image reconstruction, we will compare the sensitivity, specificity and accuracy of lesion detection with the ULDCT as compared to the regular CT scan.