View clinical trials related to Lung Cancer.
Filter by:This study aims to investigate the impact of immunotherapy on the immune status of tumor microenvironment and peripheral blood of chest cancer patients. To do so, the investigators plan to collect tumor tissue and peripheral blood samples before and after immunotherapy, and use single-cell RNA sequencing, Multiplex immunohistochemistry, and flow cytometry. The investigators will analyze changes in the proportion of cancer cell-specific T-cell subpopulations related to treatment response before and after therapy, and seek biological markers that can predict the efficacy of immunotherapy.
The goal of this clinical trial is to evaluate efficacy and safety of AI-assisted radiotherapy contouring software in CT images for thoracic organs at risk. After screening, qualified participants' thoracic CT images will be anonymized and randomized to two sequences, one with independent investigator contouring of thoracic organs at risk, followed by washout period and software-assisted contouring, and the other in reverse sequence. The washout period lasts for at least 4 weeks. Investigators will not only contour organs at risk in their own center, but also organs in the previous center. The anonymized images will be contoured by independent expert team as the golden standard. The experimental group refers to software-assisted contouring, while the control group refers to independent investigator contouring. Judged by the golden standard, the two groups will be compared to evaluate efficacy and safety of software-assisted contouring of thoracic organs at risk.
The primary purpose of this study is to evaluate the safety and feasibility of the Creo Medical MicroBlateâ„¢ Flex AB1 instrument used with the AB1 electrosurgical system in patients undergoing bronchoscopic microwave ablation of peripheral lung nodules.
Developing and validating an AI model that supports physicians in their decision process for treating lung cancer patients. This AI model needs to predict the probability of (the evolution of) the outcomes, based on clinical data and a simulated lung cancer treatment plan. The outcome probabilities can be evaluated with different treatment plans to identify the optimal plan. Initially, the input data will be a limited set of selected features such as general patient information, tumour characteristics, laboratory measurement results, comorbidities and treatments. Finally, the goal is to use a deep patient as input to the models.This deep patient is an AI model on its own, trained on hospital data, as described in secondary objectives.
There are ~85,000 lung cancer patients (LCPs) in the UK; yet only around 8% were recruited into clinical trials in 2021/22. LCPs need opportunities to take part in clinical trials to access new treatments, increasing their quality of life, treatment choices and life expectancy. Discussions with nurses can help patients make better treatment decisions, improving experiences of care. However, research has shown that lung cancer nurses (LCNs) often feel unable to discuss participation in trials with patients due to lack of knowledge, confidence, time and training. This study aims to develop and test a research recruitment tool for LCNs, to support LCPs to enter clinical trials. Objectives include to: - Explore reasons for low uptake of LCPs into clinical trials - Develop a tool for LCNs to talk to patients about clinical trials - Test whether the tool improves the number and quality of discussions nurses have with LCPs about clinical trials The study has four phases: Phase 1: A literature review will identify problems that make clinical trial uptake difficult for LCPs, carers and clinicians Phase 2: Six group discussions with LCNs, patients and carers will explore issues that create potential barriers for patients taking part in clinical trials. The groups will take place online, last approximately one hour and be recorded. Phase 3: Part 1&2 findings will help us develop a LCN research recruitment tool. The tool will contain information on how nurses obtain information about LC clinical trials, research teams, communication issues, practical issues and how to reach LCPs. Phase 4: The research recruitment tool will be tested in four UK NHS hospitals. A survey will identify any changes in nurses' clinical trials awareness and confidence before and after using the tool. Interviews with LCNs, patients and carers will explore their views on the tool, clinical trials participation and experiences of care.
This study evaluates the effectiveness of a supervised one-leg resistance training program in patients with inoperable lung cancer with the primary outcome being rate of force development. Study design: Single center, two-armed, parallel-group, randomized controlled trial. The primary outcome being rate of force development after 12 weeks of progressive resistance training.
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, colon and cervix ongoing in Italy. The Italian Pulmonary Screening Network (RISP) includes 18 centers, which will promote primary prevention by offering a smoking cessation program (i.e. counselling and anti-smoking cytisine-based therapy) and secondary prevention by screening volunteers with chest Low Dose Computed Tomography (LDCT). The primary objective of the study is to demonstrate the non-inferiority of a risk-based screening strategy (less intensive, every 2 years) compared to the standard annual screening, in terms of stage I/II lung cancer incidence. Furthermore, the study aims to provide evidence whether blood biomarkers screening intervals can improve the efficiency of lung cancer screening by requiring less CT examinations while retaining the ability to diagnose lung cancer at curative state.
Lung cancer can be detected via screening of high-risk individuals, i.e current or ex-heavy smokers, with low-dose computer tomography (LDCT) of thorax. The National Lung Screening Trial in US and the NELSON trial in Europe demonstrated reduction in lung cancer mortality with LDCT screening for lung cancer. In Hong Kong, however, there is a prominence of female never-smokers with lung cancer. There is no identifiable risk factors for non-smokers with lung cancer except family history of lung cancer. The hypothesis is that lung cancer screening for subjects with family history of lung cancer, can detect early lung cancer.
Investigators intend to combine low-dose hypersensitivity with high-dose immunopotentiation effect, and use super-hyperfractionation pulse radiotherapy, which is expected to achieve the effect of in situ vaccine that can enhance tumor killing, protect normal tissues, reduce immune cell damage and enhance tumor immunogenicity at the same time, and play a stronger immunopotentiation effect in combined immunotherapy. Thereby inducing a stronger abscopal effect of radiotherapy.
This study is a first-in-human, open-label, 2-part, Phase 1 dose escalation study of DO-2, administered orally to patients with advanced or refractory solid tumours, with MET aberrations, and no available, approved therapeutic alternative.