View clinical trials related to Multiple Pulmonary Nodules.
Filter by:The primary objectives of this study are to assess the sensitivity and specificity of SGM-101 in detecting non-small cell lung carcinomas during surgery when excited by an near-infrared light source utilizing intraoperative imaging.
Lung cancer is currently one of the most common malignant tumors in the world. In recent years, with the popularity of high-resolution CT, more and more early-stage lung cancers have been found. Anatomic pneumonectomy is gradually popular because it can completely remove lung nodules and preserve lung function to the greatest extent. During the surgery, the precise and rapid determination of intersegmental border is one of the key technologies. Improved inflation-deflation method is currently the most widely used method in clinical practice. Previous studies demonstrated that increasing the concentration of nitrous oxide in mixtures of N2O/O2 will lead to a faster rate of collapse. The rapid diffusion properties of N2O would be expected to speed lung collapse and so facilitate surgery. This study was designed to explore three types of inspired gas mixture used during two-lung anesthesia had an effect on the intersegmental border appearance time during pneumonectomy and its feasibility and safety: 75% N2O (O2: N2O = 1: 3), 50% N2O (O2: N2O = 1: 1), 100% oxygen.
As the detection of small pulmonary nodules continuously grows, the intraoperative localization of small pulmonary nodules is in great demand. The intraoperative localization nowadays is usually done under local anesthesia before surgery. There is a certain rate of failure and complication. The result of our early animal experiments show that the pulmonary surgery marker system can deliver the intraoperative localization safely and precisely under anesthesia, and the average distance between the localization and the simulated lesion is less than 5mm during surgery. Therefore, the safety and feasibility of the system require further evaluation in patients
To assess the variability of semi-automated volume measurements of pulmonary nodules on same-day repeated scans of equal radiation dose from two different CT scanners: One high-end CT scanner with standard spatial resolution (CT1) and one UHRCT scanner (CT2), in patients with known or suspected pulmonary metastases.
This study is designed to evaluate clinical safety and diagnostic accuracy of the robotic-assisted bronchoscopy with biopsy performed with the Monarch™ Endoscopy Platform in a broad range of patients with pulmonary lesions.
During the VATS procedure, some pulmonary nodules are relatively small or far away from the pleura, resulting that they are difficult to be accurately located during the procedure. The aim of this study is to evaluate the efficacy and safety of using disposable pulmonary surgical markers to localize pulmonary nodules in subjects prior to the resection of pulmonary nodules by video-assisted thoracoscopic surgery (VATS).
This is a study that will evaluate the utility of a scatter reduction technique in reducing dose and increasing the sensitivity of stationary digital chest tomosynthesis (s-DCT) in the detection of lung lesions.
The objectives of this study are to evaluate intraoperative percutaneous lung lesion marking assisted by electromagnetic guided percutaneous navigation and related tools.
Implementation of lung cancer screening using low-dose computed tomography has increased the rate of detection of small peripheral pulmonary nodules. However, it is hard to localize these nodules by palpation because of their small volume and long distance to the nearest pleural surface. To further clarify the confounding factors, we developed our own 3D printing localization procedure. In contrast to traditional CT-G percutaneous puncture localization, our procedure was performed in the operating room without CT scan evaluation.
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.