View clinical trials related to Lung Cancer.
Filter by:This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer.
The study will use a blood sample collected from participants to: - Develop new ways of finding and diagnosing lung health problems, such as lung cancer. - Develop tools which make it easier to screen people with possible lung health problems, diagnose problems earlier and with fewer tests, and start the best treatment faster. - Help improve the early diagnosis of lung cancer, as finding lung cancer early means that it can be treated more easily and successfully.
This is an observational case-control study to train and validate a genome-wide methylome enrichment platform to detect multiple cancer types and to differentiate amongst cancer types. The cancers included in this study are brain, breast, bladder, cervical, colorectal, endometrial, esophageal, gastric, head and neck, hepatobiliary, leukemia, lung, lymphoma, multiple myeloma, ovarian, pancreatic, prostate, renal, sarcoma, and thyroid. These cancers were selected based on their prevalence and mortality to maximize impact on clinical care. Additionally, the ability of the whole-genome methylome enrichment platform to detect minimal residual disease after completion of cancer treatment and to detect relapse prior to clinical presentation will be evaluated in four cancer types (breast, colorectal, lung, prostate). These cancers were selected based on the existing clinical landscape and treatment availability.
The purpose of the research is to evaluate a new schedule of alternating cycles of induction chemoimmunotherapy (chemotherapy plus pembrolizumab) and immunotherapy (pembrolizumab) alone for the initial treatment of patients with advanced lung or head and neck cancers.
Benefits of physical activity (PA) as supportive care in cancer have been widely demonstrated by the scientific community. However, survivors who have completed chemo-radio-immunotherapy treatments doesn't achieve PA recommendations on average. This reinforces the need to identify factors influencing PA level, and to propose a multilevel model (macro-, meso-, micro-level) to understand better what facilitates the adoption and maintenance of active behaviour and what hinders it. To date, there is no ecological model in France explaining this behaviour in the post-treatment phase of breast, colorectal, prostate, and lung cancers. From this initial model, we seek to design an educational and motivational intervention in PA. Thus, the investigators propose to test the feasibility of implementing an individualized program to increase and maintain level of physical activity and to decrease sedentary behaviours in physically inactive cancer survivors. This program is based through and identification of barriers and facilitators of an active lifestyle among this population.
An open-label phase II study, investigating toxicity, treatment efficacy and the local tumor control rate in 69 patients with centrally located tumors and in 69 patients with ultra-centrally located tumors in the lung. Treatment and patient outcomes will be recorded. Centrally located tumors are treated on standard-linacs with daily CBCT image-guidance and plan adaptation. Ultra-centrally tumors are treated on MR-linacs with daily MR-guided plan-adaptation.
This study intends to explore feasibility, acceptability, and outcomes related to the use of a digital health coaching intervention for individuals who have completed primary therapy for cancer. Up to 500 individuals with diverse cancer diagnoses will be enrolled across up to 5 clinical sites to participate in a randomized wait-list control study. Those in the intervention group will receive 6 months of digital coaching up front followed by 6 months of ongoing monitoring via patient reported and clinical outcomes, as well as wearable data. Those in the control group will be monitored via patient reported and clinical outcomes as well as wearable data for the first 6 months followed by 6 months of digital health coaching. Both groups will collect fecal microbiome samples at enrollment and month 6. The study aims to explore if and how digital health coaching may be used to enhance outcomes for individuals following completion of primary cancer therapy.
The presence of sarcopenia before lung resection surgery might be an important factor of short-term and long-term prognosis in lung cancer patients. Through this study, investigators plan to demonstrate evidence whether sarcopenia is a useful clinical biomarker for risk stratification in elderly patients undergoing lung cancer surgery.
Pneumothorax is the most common complication after CT-guided lung biopsy, and several techniques have been proposed to reduce the risk. Among them, rapid rollover is the maneuver to immediately reposition the patient, with biopsy-side down after removal of biopsy needle. It has been theorized that the technique reduces the size of alveoli surrounding the needle tract, leading to airway closure and reduction in the alveolar-to-pleural pressure gradient, thereby preventing pneumothorax. The aim of this study is to evaluate the effectiveness of rapid rollover in reducing the risk of radiographically detectable pneumothorax and the rate of chest tube insertion. Patients undergoing CT-guided lung biopsy for any indication will be recruited and randomized into either rapid rollover group or control group. In the control group, CT guided lung biopsy will be performed per standard protocols; in the rapid rollover group, the biopsy will also be performed per the same protocol with the addition of rapid rollover at the end of the procedure. For both groups, the primary outcome would be new or enlarging pneumothorax detected on post-biopsy radiographs, and the secondary outcome would be the risk of pneumothorax necessitating chest tube insertion, all complications associated with CT guided lung biopsy, time to complication development, and patient experience in each arm.
To test whether it is feasible to perform the 3D-EX functional predictive response bioassay in the context of patients with advanced/metastatic NSCLC receiving immune checkpoint inhibitors in the standard of care clinical setting.