View clinical trials related to Lung Cancer.
Filter by:The aim of the study is to assess the performance of Aquyre Biopsy Scanner technology (the FDA class I medical device) at determining if tissue from the lymph nodes and lung nodules, taken during a bronchoscopy procedure, is adequate for a diagnosis. The study will assess how well the Aquyre Biopsy Scanner can differentiate between tissue samples that meet certain requirements that allow for further diagnostic analysis and samples that do not.
PARP inhibitor and PD1 in lung squamous cell carcinoma The current study will compare PD1 plus maintenance PARP for the treatment of squamous NSCLC. The study's 2 primary hypotheses are: respect to progression-free survival (PFS) per RECIST 1.1 by blinded independent clinical review (BICR). Overall survival (OS).
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.
To provide sufficient scientific evidence for rational drug use of camrelizumab in the treatment of advanced non-squamous non-small cell lung cancer in China, efficacy，safety and cost-effectiveness of camrelizumab plus chemotherapy versus chemotherapy alone or chemotherapy plus antiangiogenic therapy in the first-line treatment of patients with advanced non-squamous non-small-cell lung cancer will be evaluated. Based on real world, the Markov Model was established to analyze the incremental cost-effectiveness in experimental group(camrelizumab plus chemotherapy), compared with control group (chemotherapy alone or chemotherapy plus antiangiogenic therapy). Deterministic sensitivity analysis and probabilistic sensitivity analysis will be performed.
This study plan to enroll 852 patients with pulmonary nodules smaller than 3 cm in diameter, whose DNA and RNA will be extracted from mature red blood cells isolated from peripheral blood. The DNA 5-methylcytosine(5-mC) and RNA 2'-O-methylation information will be acquired by NGS and Nm Judge Universally sequencing (NJU-Seq), which will be used to establish models to distinguish patients with benign and malignant nodule in the training group and further evaluated in the validation group. The pathological results will be acquired after surgery or biopsy as standard in the study.
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.
This is an open-label, interventional, multiple-center, exploratory Phase II study sponsored by AstraZeneca Investment(China)Co., LTD. to evaluate the efficacy and safety of Savolitinib combine with Durvalumab in Chinese EGFR wild-type locally advanced or metastatic NSCLC patients with MET alteration.
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.
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.