View clinical trials related to Lung Cancer.
Filter by:In this study, providing access to physiotherapy applications by telerehabilitation method and the effectiveness of this application will be examined for patients who have undergone lung surgery in the early postoperative period during the pandemic process in which social isolation continues.
1. Evaluate the feasibility of single cell sequencing technology based on three-dimensional bionic capture network; 2. To build a risk prediction model of bone related events based on single cell sequencing; 3. To verify the risk prediction model of bone related events by single cell sequencing; 4. To verify the comprehensive treatment of non-small cell lung cancer ( NSCLC) bone metastases.
This study represents a survivorship protocol that focuses on cognition and health-related quality of life (HRQoL) in cancer patients that have received prior brain irradiation. The primary purpose of this study is to assess the feasibility of using a digital symptom tracking application focused on HRQoL and cognition in cancer survivors who received brain irradiation.
More than 30% of patients undergoing thoracic surgical procedures develop persistent post-surgical pain (PPSP), which results in impaired functioning, diminished quality of life, and increased risk of chronic opioid use. The proposed project aims to determine whether a prospective, randomized, controlled study of smartphone-based perioperative cognitive flexibility training will reduce the incidence of PPSP in high-risk individuals undergoing thoracic surgery.
Lung cancer is the most common cancer with the highest morbidity and mortality in the world. Stagement is closely related to the 5 years of survival rate of patients. The postoperative 5-year survival rate is above 90% for stage ⅠA lung cancer patients, while the 5-year survival rate of stage IV lung cancer patients is less than 5%. Therefore, early screening and diagnosis for lung cancer is a key method to reduce lung cancer mortality and prolong survival for patients. At present, low-dose computed tomography (LDCT) is the most effective method for early detection of lung cancer. In addition to imaging examination, plasma tumor markers detection is also a common clinical detection method for tumor screening and postoperative monitoring. Liquid biopsy is a non-invasive or minimally invasive method for testing blood or other liquid samples to analyze tumor-related markers including nucleic acids and proteins. Several studies have explored the detection of hot spot gene mutations, methylation and methylation changes of DNA, protein markers and autoantibodies in peripheral blood in lung cancer patients. Liquid biopsy has generally become the most popular field for early diagnosis of lung cancer. Based above, it is necessary to combine multi-omics methods to improve the detection of early stage lung cancer. In our study, we intend to integrate molecular features obtained through liquid biopsy and clinical data of lung cancer patients, and develop and prospectively validate a machine-learning method which can robustly discriminate early-stage lung cancer patients from controls.
The aim of this study is to sample and analyze volatile organic compounds (VOCs) from lung cancer patients and individuals without lung cancer ("healthy" controls). The breath sample analysis will help investigators describe and identify profiles of VOCs found in the breath of patients with lung cancer when compared to normal breath profiles using infrared spectroscopy. This work will help validate early proof of concept results conducted with prototype technology and later stage NSCLC breath samples, and inform future breath testing analysis.
This is a single-arm, single-center, prospective pilot study to perform bronchial artery Tc-99m-MAA infusion to determine the predicted whole lung versus lung tumor dosimetry of a possible intra-arterial radioembolization.
Lung cancer is the primary cause of cancer related deaths in Denmark. In order to improve the prognosis diagnosis in earlier stages are needed. This will however require improved sampling techniques from very small lung lesions. One method involves the use of a radial ultrasound probe inserted in the working channel of the bronchoscope, to more accurately identify the lung lesions before sampling them (rEBUS). The other method involves the use of electromagnetic navigation bronchoscopy (ENB) to guide the operator to the lung lesion. This study aims to determine whether a combination of rEBUS and ENB is superior to ENB alone in biopsy sampling. The study will be conducted as a non-blinded RCT. Furthermore, we will make an estimate of the hospital costs of the entire diagnostic work up for lung cancer when combining ENB and rEBUS compared to ENB alone.
This study evaluates the viability and accuracy of preoperative mixed reality technique combined with three-dimensional printing navigational template guided localizing pulmonary small nodules.
The purpose of this study is to find out whether a biopsy technique called transbronchial cryobiopsy (TBCB) is a safe alternative to the standard biopsy procedure (transbronchial forceps biopsy; TBFB). The study researchers think that TBCB may provide better biopsy samples to help diagnose lung disease.