Found 1,843 clinical trials
Lung B.A.S.E.S. 4 Life Mobile Low-dose Computed Tomography (LDCT) Screening: Ages 40-54
Low-dose CT Screening has been shown in two large trials in the United States (NLST) and Europe (NELSON) to increase overall survival in subjects 55 years of age and older with a strong smoking history. Unfortunately, in both North Carolina (NC) and South Carolina (SC), subjects are found to have …
Veterans Affairs Lung Cancer Surgery Or Stereotactic Radiotherapy
Patients with stage I non-small cell lung cancer have been historically treated with surgery whenever they are fit for an operation. However, an alternative treatment known as stereotactic radiotherapy now appears to offer an equally effective alternative. Doctors believe both are good treatments and are therefore conducting this study to …
Substudy 01I: A Study of Investigational Agents in Participants With Previously Treated Stage IV Squamous Non-small Cell Lung Cancer (NSCLC) (MK-3475-01I/KEYMAKER-U01I)
Researchers are looking for other ways to treat metastatic squamous non-small cell lung cancer (NSCLC). Squamous NSCLC is cancer that starts in squamous cells, which are flat cells that line the inside of the airways in the lungs. Metastatic means the cancer has spread to other parts of the body. …
Lung Cancer Screening of Family Members of Patients With Mutation-Driven Lung Cancer
This is a single-armed screening research study which screens immediate family member of lung cancer patients with a driver mutation to see if lung cancer can be inherited and whether researchers can find lung cancer early. Immediate family members of lung cancer patients will be 40-80 years old and screened …
Early Intervention Strategies for Lung Cancer
Low-dose CT (LDCT）can detect and treat lung cancer earlier and more quickly, while expanded screening coverage helps reduce the incidence and mortality of respiratory diseases such as lung cancer. This study aims to conduct a single-arm cluster randomized trial of digitally enabled LDCT in Guangzhou to assess its intervention effectiveness …
Lung Cancer Prevention Screening Programme in Italy
This prospective randomized multicentered clinical study aims at implementing early diagnosis of lung cancer in high-risk heavy smokers in the Italian population. The main goal of the study is to develop a nationwide lung cancer prevention screening with high quality standard, similar to that of other screening programs i.e. breast, …
Integrating Artificial Intelligence Into Lung Cancer Screening.
Lung cancer (LC) screening using low-dose chest CT (LDCT) has already proven its efficacy. The mortality reduction associated with LC screening is around 20%, much higher than the reduction in mortality associated with screening for breast, colon or prostate cancers. Implementing lung cancer screening on a large scale faces two …
Integrating Telehealth to Advance Lung Cancer Screening
The goal of this pragmatic trial is to learn if telehealth strategies can increase shared decision-making (SDM) for lung cancer screening (LCS). It will also learn about the equity of these strategies by conducting non-inferiority analysis by race and sex. The main questions it aims to answer are: Does patient …
Lung Cancer Screening by Artificial Intelligence Device
Lung cancer screening is currently not recommended in non-smokers due to paucity of evidence. Emerging evidence suggests that first-degree family history is a strong risk factor for lung cancer in Asian non-smokers. In Asia, lack of resource is a major challenge in successful implementation of lung cancer screening. Artificial intelligence …
Beating Lung Cancer in Ohio Protocol in Improving Survival in Patients with Stage IV Non-Small Cell Lung Cancer
This randomized clinical trial studies the Beating Lung Cancer in Ohio protocol in improving survival in patients with stage IV non-small cell lung cancer. The Beating Lung Cancer in Ohio protocol may help in evaluating immunotherapies and targeted therapies that prolong survival, have more favorable toxicity profiles than conventional chemotherapy …
