View clinical trials related to Solitary Pulmonary Nodule.
Filter by:Lung cancer is the first cancer in China in terms of morbidity and mortality. The problem of early diagnosis/treatment has always been concerned. The popularization of chest CT (electronic computed tomography) screening makes it possible to detect lung cancer early. However, the diagnosis still needs pathological evidence. It is an ideal choice to obtain pathological evidence through bronchoscope and other minimally invasive means before surgical resection. However, the positive rate of tracheoscopy is still unsatisfactory, which is related to the difficulty of traditional pathological detection in detecting small specimens obtained by tracheoscopy. Liquid biopsy technology based on methylation detection has been used in early cancer screening, but its advantages have not been fully exploited due to the low content of ctDNA (circulating tumor DNA) in the current detection samples. Therefore, through prospective clinical research, the investigators plan to combine the methylation detection technology based on "Whole genome methylation sequencing(GM-seq)" with tracheoscopy, compare the traditional pathological methods with methylation detection on the bronchoscopic samples of lung nodule subjects suspected of early lung cancer, and take the postoperative pathology as the gold standard for judging benign and malignant, to confirm the feasibility and advantages of the new technology.
This study is a multi-centre prospective observational cohort study recruiting patients with 5-30mm solid and part-solid pulmonary nodules that have been detected on CT chest scans performed as part of routine practice. The aim is to determine whether physician decision making with the AI-based LCP tool, generates clinical and health-economic benefits over the current standard of care of these patients.
Background Transthoracic computed tomography (CT)-guided procedures are the current gold Standard for obtaining diagnostic biopsies of solitary pulmonary nodules (SPN) in the peripheral lung. Novel endobronchial techniques, such as electromagnetic navigation bronchoscopy (ENB) or Virtual bronchoscopic navigation (VBN) are considered safer to approach SPNs. The newest technique combines VBN with calculating the access to a SPN via a transparenchymal route. In contrast to the gold Standard transthoracic approach, also small lesions, and lesions which cannot be reached transthoracicaliy, located in the innertwo thirdsof the lung can be approached. Main research question To assess diagnostic yield of the novel Standard of care 'Virtual bronchoscopy navigation" procedure. Design (including population, confounders/outcomes) A single centre, prospective, observational study of patients undergoing the novel Standard of care Virtual bronchoscopy navigation procedure to assess a pulmonary nodule. Clinical data of at least 100 consecutive patients will be collected.
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.
Correlate performance of LungLB Test with outcome of a scheduled biopsy.
With the popularization of CT screening, the detection rate of small lung nodules has greatly increased. Therefore, the clinical thoracoscopic lung nodule biopsy and sub-lobectomy for radical resection of lung cancer are greatly required. Accurate resection of lung nodule depends on precise localization of pulmonary nodules. However, preoperative CT-guided Hook-wire positioning under local anesthesia, which is the current primary localization method, requires high equipment and expense, and may cause physical and mental trauma to the patient. Augmented reality (AR) is an innovative technology that superimpose a virtual scene into the real environment by fusing images, videos, or computer-generated models with patients during surgical operations. It can visually display the anatomical structures of organs or lesions, which significantly improves surgical efficiency. This project intends to use AR technology to localize the solitary pulmonary nodule (SPN) before surgery, compared with CT-guided Hook-wire localization. Compared with the localization of SPNs under CT guidance, AR-assisted localization technology apparently is less time-consuming and can be performed immediately before surgery under general anesthesia, lessening pain, reduce costs of time and equipment, increase the success rate of sub-lobectomy, and improve the overall efficiency of surgical treatment of pulmonary nodules.
The purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. A PET/CT scan is already used for diagnosis of lung nodules, but its efficacy is uncertain in nodules 6-20 mm in size. Therefore, the PET/CT will be evaluated for its diagnostic ability in lesions this size alone and in combination with a liquid biopsy. Secondarily, a machine learning model will be created to see if the combination of the PET/CT imaging data and the liquid biopsy data can predict the presence of cancer.
The objective of this study is to assess the inoculation-related symptoms and long-term effects of COVID-19 vaccines in patients with lung cancer or pulmonary nodules in a real-world setting. The investigators aim to provide high-quality evidence for the COVID-19 vaccines in cancer/pre-cancer patients, and to address their concern about the safety profile of the newly developed vaccines.
This is a study to determine how a virtual model for the management of lung nodules compares to a face-to-face clinic for patient satisfaction, quality of life and cost.
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.