LUNG CANCER (DIAGNOSIS)

This study tests an artificial intelligence (AI) prototype designed to quickly evaluate tissue samples taken during a bronchoscopy, a procedure used to diagnose lung cancer. The AI analyzes microscope images of the samples to determine if they are adequate for diagnosis and wheth…

This study will test a new, disposable freezing catheter (Celsio) in 30 people who need a lung procedure. The catheter uses extreme cold to help diagnose or treat conditions like lung cancer and interstitial lung disease. Unlike current devices, it does not need a bulky console o…

This study looks at whether low-dose CT scans can help find lung cancer early in people aged 40 to 80 who have never smoked. About 2,500 participants will fill out questionnaires, give blood and urine samples, and have lung function tests and CT scans. Researchers will track how …

This study will test whether a new type of PET scan (18F-FAPI) can more accurately detect lung cancer and help predict patient outcomes. About 120 adults already diagnosed with lung cancer will receive the scan. The goal is to see if this imaging method is better than current tec…

This study compares a new robot-assisted system to the standard manual method for taking a tissue sample (biopsy) from a lung nodule. The goal is to see if the robot is as safe and effective at diagnosing lung cancer or other conditions. About 158 adults with suspicious lung nodu…

This study tests if giving a long-lasting numbing medicine in two different places around the ribs and chest wall can reduce pain and the need for strong painkillers after robotic lung surgery. About 300 adults having this surgery will be randomly assigned to receive the numbing …

This study tests whether using a lung perfusion PET/CT scan to guide radiation planning can reduce lung injury compared to standard anatomical planning. About 418 adults with lung tumors receiving stereotactic body radiotherapy (SBRT) will be randomly assigned to one of the two p…

This study will collect data from 2,000 patients in the Netherlands and France who are receiving standard, minimally invasive cancer treatments like tumor ablation or catheter-based therapies for liver, lung, kidney, or bone cancers. During these procedures, a special CT scanner …

This observational study will enroll 300 people with suspected lung lesions to see if 3D ultrasound can measure them as accurately as CT scans. Participants will undergo both ultrasound and CT imaging, and researchers will compare the results. If the 3D ultrasound works well, it …

This study will test if a simple, low-intensity cycling exercise combined with a handheld monitor can predict serious complications in lung cancer patients before surgery or other treatments. Researchers will include 500 adults with suspected lung cancer. The goal is to make risk…

This study will analyze genetic data from 100,000 people to see if variations in aldehyde-metabolizing genes (ADH1B and ALDH family) are linked to lung cancer risk, especially in people who have never smoked. The goal is to understand how these genes might influence the developme…

This study looks at how low body temperature during lung cancer surgery (using a tiny camera) affects pain and complications after the operation. About 144 adults having this surgery will have their temperature tracked continuously. The goal is to understand if getting cold durin…

This study will measure specific immune cells in the blood of 200 non-small cell lung cancer patients before and after surgery. The goal is to see if these markers can help predict if the cancer will come back or how long patients will live. Participants must have early-stage lun…