View clinical trials related to Lung Cancer.
Filter by:Lung cancer is a malignant tumor that has transformed from a single cancer disease into one of the most striking global health problems. Lung cancer has an insidious onset, and most patients are first diagnosed with the middle and advanced stage. Cancer related fatigue is the most common and distressing symptom reported by lung cancer patients. For cancer patients, fatigue has lasting impact on physical, psychological and social functions, interferes with activities and participating in life events, thereby worsening the health-related quality of life. Acceptance and Commitment Therapy (ACT) is the third-wave cognitive behavioral therapy to improve functioning and health-related quality of life by increasing psychological flexibility. The study aims to examine the effectiveness of ACT on fatigue interference and health-related quality of life in patients with advanced lung cancer.
This is a prospective observational study aiming: 1) To quantify lung function using perfusion dual energy computed tomography (DECT) and use this information at the time of treatment planning with preferential sparing of functional lung parenchymal 2) to validate results of lung function obtained using DECT with lung perfusion scintigraphy results, the current standard method; 4) to compare dosimetry of whole lungs vs. functional lungs in patients treated with either stereotactic body radiotherapy (SBRT) for early stage lung cancer or conventional radiotherapy for locally advanced lung cancer and 5) to evaluate lung function 6, 12 and 24 months post-radiotherapy with both perfusion DECT and pulmonary function tests and compare radiation dose-map to functional lung-map.
Organoids are generated from tumor biopsies, taken during a standard procedure. and are a collection of organ-specific cell types that are able to self-organize in-vitro in a manner similar to the in-vivo situation (3D). They have the capability to facilitate in-depth analysis of patient's own tumor material at point of diagnosis and during progressive/recurrent disease. There is currently no published protocol to establish long-term lung cancer organoids from lung cancer patients. Such a methodology would enable the prospective identification of 'patient tailored optimal treatments" as well as the derivation of predictive biomarkers for response and relapse. Apart from organoids, xenograft models also still have their merits. To generate PDX, tumor material will be retrieved from surgical specimens, cut in small pieces, transplanted in the recipient immune deficient animals either subcutaneously or implanted directly into the lung. A tumor with the median growth rate will be serially transplanted in vivo for further therapeutic experiments. Dedicated small animal irradiaton in our facility enables precise local irradiation of lung tumors with minimal radiation exposure of the surrounding normal tissues. Integrated cone beam computed tomography imaging system allows longitudinal monitoring of tumor response to novel treatments.
The aim of this study is to investigate those nutritional problems contributing to loss of lean body mass in lung and pancreas cancer patients in chemotherapy. Furthermore to investigate alterations in taste and how they correlates with changes in following factors: nutritional intake, physical activity, appetite, food preferences, side effects, fatique and meal perception.
The purpose of this research study is to see if adding an "extra" check by formal radiology review is possible without disrupting the normal processes that take place to develop and prepare a safe radiation treatment plan for patients.
This is a Phase 1 dose-escalation study of PRT1419, a myeloid cell leukemia 1 (MCL1) inhibitor, in patients with advanced solid tumors. The purpose of this study is to define the dosing schedule, maximally tolerated dose and/or estimate the optimal biological dose to be used in subsequent development of PRT1419.
A retrospective, multi-centre, observational study to describe the treatment patterns, the demographic, clinical outcomes, treatment effectiveness, and healthcare resource utilization (HCRU) for patients diagnosed with primary Small Cell Lung Cancer SCLC (Extensive stage & Limited Stage)and stage III NSCLC in a real-world setting.
Lung cancer is the most frequently dianosed cancer worldwide. To date, no screening method has been able to establish itself as routinely recommended by the guidelines. In this prospective study with 1:1 randomized questioning using an Internet tool, physicians will be asked in 2 phases (before and after intervention with a fact box) about their assessment of the benefits and risks of lung cancer screening by thoracic computed tomography and about a potential intention to change referral behavior. Randomly assigned, half of the participants will receive the same information in addition to the fact box graphically presented as a Cates plot.
Before any treatment decisions are made for patients with lung cancer, it is crucial to determine whether the cancer has spread to the lymph nodes in the chest. Traditionally, this is determined by taking biopsy samples from these lymph nodes, using the Endobronchial Ultrasound Transbronchial Needle Aspiration (EBUS-TBNA) procedure. Unfortunately, in 40% of the time, the results of EBUS-TBNA are not informative and wrong treatment decisions are made. There is, therefore, a recognized need for a better way to determine whether the cancer has spread to the lymph nodes in the chest. The investigators believe that elastography, a recently discovered imaging technology, can fulfill this need. In this study, the investigators are proposing to determine whether elastography can diagnose cancer in the lymph nodes. Elastography determines the tissue stiffness in the different parts of the lymph node and generates a colour map, where the stiffest part of the lymph node appears blue, and the softest part appears red. It has been proposed that if a lymph node is predominantly blue, then it contains cancer, and if it is predominantly red, then it is benign. To study this, the investigators have designed an experiment where the lymph nodes are imaged by EBUS-Elastography, and the images are subsequently analyzed by a computer algorithm using Artificial Intelligence. The algorithm will be trained to read the images first, and then predict whether these images show cancer in the lymph node. To evaluate the success of the algorithm, the investigators will compare its predictions to the pathology results from the lymph node biopsies or surgical specimens.
A five classes (A-E) aggregate risk score predicting 90-day mortality after video-assisted thoracoscopic lobectomy for lung cancer, including as independent factors male sex (3 points), carbon monoxide lung diffusion capacity <60% (1 point) and operative time >150 minutes (1 point), has been recently published. This study aims to assess the effectiveness and reliability of this risk model in a large, independent cohort of patients, in order to confirm its generalizability.