View clinical trials related to Lung Cancer.
Filter by:Identifying the outline of a Gross Tumour Volume (GTV) in lung cancer is an essential step in radiation treatment. Clinical research, such as radiomics and image-based prognostication, requires the GTV to be pre-defined on massive imaging datasets. The ARGOS community creates an open-source and vendor-agnostic federated learning infrastructure that makes it possible to train a deep learning neural network to automatically segment Lung Cancer GTV on computed tomography images. To reduce risks associated with sharing of patient data, we have used a data-secure Federated Learning paradigm known as the "Personal Health Train" that has been jointly developed by MAASTRO Clinic and the Dutch Comprehensive Cancer Organization (IKNL). The successful completion of this project will deliver a highly scalable and readily-reusable framework where multiple clinics anywhere in the world - large or small - can equitably collaborate and solve complex clinical problems with the help of artificial intelligence and massive amounts of data, while reducing the barriers associated with moving sensitive patient data across borders.
This study explores whether supportive care interventions that might reduce rehospitalization could be implemented and feasible, in subjects within a high-risk group of subjects with newly diagnosed hospitalized advanced lung cancer (ALC). This study screened 50 subjects from health records and consented to 15 of these screened subjects. These 15 subjects responded to PRO questionnaires.
Interventional clinical study to obtain performance and safety data of the EPIONE® device when used for percutaneous procedures in the lung.
Patients treated at the Hôpital Nord de Marseille for at least one smoking-related pathology (atheroma, chronic bronchitis, non-progressive cancer > 5 years) or with eligibility criteria for lung cancer screening (inclusion criteria in the NLST or NELSON studies or American recommendations) Interventional study with minimal risks and constraints, with evaluation of lung cancer prevalence; immunological, blood inflammatory and microbiota profile Determine the maximum clinical, radiological, and biological phenotyping completeness rate following the implementation of a new lung cancer screening care pathway with multidimensional clinical, radiological, and biological phenotyping capabilities
This prospective observational study was designed to evaluate the safety and efficacy of PD-1/PD-L1 inhibitors in combination with statins compared with treatment with PD-1/PD-L1 inhibitors alone in advanced NSCLC patients. Participants will receive either immunotherapy + statin or immunotherapy until progressive disease (PD) as assessed by the investigator using Response Evaluation Criteria in Solid Tumors Version 1.1 (RECIST v1.1). Treatment can be continued until persistent radiographic PD or symptomatic deterioration.
The aim of this observational study is to investigate if preoperative quantitative sensory testing, anxiety and depression symptoms, and biological markers are associated with the risk of developing acute and chronic postoperative pain after video-assisted Thoracoscopic surgery (VATS).
primary purposeļ¼Observe the pathological complete response rate (PCR) of postoperative tumor tissue resection and evaluate the safety of the treatment process.
In this study, patients who are taking oral tyrosine kinase inhibitor (TKI) therapy for lung cancer will be asked to participate in a remote monitoring system for up to 24 weeks. The system will include: - a smartphone application (app) developed at the University of Virginia called Sensus. Sensus will be downloaded to the participant's smartphone. The app will collect active data (such as through surveys) and passive data (such as accelerometer data). - a fitness watch called a Fitbit will be given to the participant to be used during the study. The Fitbit will collect information such as steps and average heart rate. - a smart pill cap called RX Cap will be given to the participant to be used during the study. The pill cap will collect information about how often a pill bottle is opened. The study will also involve paper surveys that are taken by the participant during clinic visits. Symptoms related to TKI therapy will be recorded by an investigator in the clinic. The study results will be used to guide development of a real-time symptom monitoring system, with the ultimate goal of improving TKI symptom response and quality of life.
CASCADE-LUNG is an event-driven, multisite, prospective, observational, blood specimen collection study in the elevated-risk lung cancer screening population. The primary objective is to determine the sensitivity and specificity of the Delfi Lung Cancer ScreeningTest (DLCST).
This randomized clinical study aims to assess the use of an oscillating positive expiratory pressure device (AEROBIKA) in patients with thoracic neoplasms who undergo chest surgery. The main questions it aims to answer are: If the use of the AEROBIKA device reduces the incidence of atelectasis in oncological patients undergoing lung resection. If the use of the AEROBIKA device reduces hospital readmission and days of hospital stay. Participants who accept to participate will be sorted to receive a conventional rehab therapy (group A), otherwise a conventional rehab therapy plus AEROBIKA device (group B). Researchers will compare patients from group A versus group B to see if patients develop atelectasis.