View clinical trials related to Pulmonary Nodule, Solitary.
Filter by: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.
The goal of this study is to collect post-market data for the Ion Endoluminal System to understand CT to body divergence.
This study evaluates the viability and accuracy of preoperative mixed reality technique combined with three-dimensional printing navigational template guided localizing pulmonary small nodules.
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.
This study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London. The investigators will research whether machine learning can be used to predict which participants will develop lung cancer, to improve early diagnosis.
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.
Fluorescence-navigated thoracoscopic imaging with indocyanine green (ICG) is a novel technique for detection of small pulmonary nodules other than traditional radiography or intraoperative palpation. As a non-targeted fluorescent contrast agent, ICG accumulates in tumors by the enhanced permeability and retention effect (EPR), making the lesions fluoresce under fluorescent imaging. However, the optimal dosage and injection time of ICG are still under exploration. Hence, we perform this study in humans made up of four groups to determine the optimal time and dose.
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.