View clinical trials related to Pulmonary Nodule, Solitary.
Filter by:The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.
With the increasing acceptance of routine computed tomography (CT) screenings, early-stage lung cancer detection is becoming more frequent. For ground glass opacity predominant early-stage lung cancer, segmentectomy can get the same oncological benefits as lobectomy. In addition, lung nodules that are highly suspected to be metastases can also be performed by segmentectomy to preserve more lung function. During the surgery, the rapid and precise identification of the intersegmental plane is one of the challenges. The improved inflation-deflation method is currently the most widely used method in clinical practice. According to the dispersion coefficient of the gas, the rapid diffusion properties of carbon dioxide would be expected to speed lung collapse and so facilitate surgery. The purpose of this study was to investigate the feasibility and safety of carbon dioxide on the appearance time of satisfactory and ideal planes during segmentectomy.
The goal of this study is to collect post-market data for the Ion Endoluminal System to understand CT to body divergence.
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.
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 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.
This study aims to test the use of novel CT image analysis techniques to enable a better characterisation of small pulmonary nodules. The study will incorporate solid and predominantly solid nodules of 5-15 mm scanned using a variety of scanner types, imaging protocols and patient populations. The investigators hope that the new image processing techniques will improve the accuracy of lung nodule analysis which will in turn reduce the number of unnecessary investigations for benign nodules and may increase the accuracy of the early diagnosis of lung cancer in malignant nodules. This study aims to test this novel analysis software to subsequently allow validation.