View clinical trials related to Pulmonary Nodule, Solitary.
Filter by:Implementation of lung cancer screening using low-dose computed tomography has increased the rate of detection of small peripheral pulmonary nodules. However, it is hard to localize these nodules by palpation because of their small volume and long distance to the nearest pleural surface. To further clarify the confounding factors, we developed our own 3D printing localization procedure. In contrast to traditional CT-G percutaneous puncture localization, our procedure was performed in the operating room without CT scan evaluation.
The aim of this study is to identify the clinical features of pulmonary nodules and establish a cohort to identify biomarkers for lung cancer.
The researchers are aimed to investigate the early diagnosis of pulmonary nodule based on DNA, RNA, protein, metabolites through analyzing the serum, plasma, urine, faeces, peripheral blood mononuclear cell (PBMC), exhaled breath condensate and clinical characteristics.
Primary Objective Determine the prevalence of CAMLS in patients with pulmonary nodules. Secondary Objectives Determine the positive and negative predictive value of CAMLS in patients with pulmonary nodules who undergo biopsy. Model combinations of clinical factors with the presence/absence of CAMLS to refine strategies for assessment of patients with pulmonary nodules. Evaluate whether these measures result in enhanced T-cell activity and/or NK cell function and number
Patients found pulmonary nodules by CT screening by will be enrolled in this study prospectively. Plasma cfDNA sequencing of these patients will be used to diagnose and monitor benign and malignant pulmonary nodules.
- The purpose of the study is the identification of the efficacy of MDA Test to Differentiate of Benign and Malignant Pulmonary Nodules. - In this study, the investigators are going to validate the efficacy of the MDA test for diagnosing early lung cancer by comparing results of the pre-surgery MDA test with the post-surgery pathology.
This study aims to test the use of novel CT image analysis techniques to enable a better characterisation of small pulmonary nodules. The study will incorporate solid and predominantly solid nodules of 5-15 mm scanned using a variety of scanner types, imaging protocols and patient populations. The investigators hope that the new image processing techniques will improve the accuracy of lung nodule analysis which will in turn reduce the number of unnecessary investigations for benign nodules and may increase the accuracy of the early diagnosis of lung cancer in malignant nodules. This study aims to test this novel analysis software to subsequently allow validation.
In the early stage of the study, the CT-guided micro-coil locating method for pulmonary small nodules was optimized. This study will use a single set of target values non-randomized controlled trials to evaluate the safety and effectiveness of the optimized pre-loaded micro-coil locating method in pulmonary small nodules.
This study is one of Eastern Cooperative Thoracic Oncology Projects (ECTOP-1005). It aims to evaluate the role of flexible bronchoscopy in the pre-operative workup of ground glass opacity featured lung cancer. All enrolled patients receive the flexible bronchoscopy examination before surgery. Investigators observe the intra-bronchial findings of bronchoscopy and the impact of these findings on established surgical plan.
Current state-of-the-art lung cancer early screening utilizes low-dose CT scan to identify lung nodules smaller than 3 cm in diameter. However, it's still a clinical challenge to differentiate between malignant and benign nodules. In previous studies, the investigators had taken the approach of methylation profiling by high throughput bisulfite DNA sequencing in tissue samples to identify specific methylation signatures. The investigators had learned methylation patterns that differentiate malignant vs. benign lesions from tissue samples by in-depth data mining, and then used pattern matching to classify plasma samples. In this study, the investigators are going to validate the efficacy of ctDNA methylation test for diagnosing early lung cancer by comparing results of the pre-surgery ctDNA methylation test with the post-surgery pathology.