Active clinical trials for "Multiple Pulmonary Nodules"

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.

This study aims to evaluate the clinical value of mobile cone-beam CT (mCBCT) in combination with electromagnetic navigation bronchoscopy for the diagnosis of peripheral pulmonary nodules, and to explore the value of mCBCT in improving the diagnostic yield by calculating the improvement in diagnostic yield of patients before and after mCBCT adjustments.

Lung cancer is the first cancer in China in terms of morbidity and mortality. The problem of early diagnosis/treatment has always been concerned. The popularization of chest CT (electronic computed tomography) screening makes it possible to detect lung cancer early. However, the diagnosis still needs pathological evidence. It is an ideal choice to obtain pathological evidence through bronchoscope and other minimally invasive means before surgical resection. However, the positive rate of tracheoscopy is still unsatisfactory, which is related to the difficulty of traditional pathological detection in detecting small specimens obtained by tracheoscopy. Liquid biopsy technology based on methylation detection has been used in early cancer screening, but its advantages have not been fully exploited due to the low content of ctDNA (circulating tumor DNA) in the current detection samples. Therefore, through prospective clinical research, the investigators plan to combine the methylation detection technology based on "Whole genome methylation sequencing(GM-seq)" with tracheoscopy, compare the traditional pathological methods with methylation detection on the bronchoscopic samples of lung nodule subjects suspected of early lung cancer, and take the postoperative pathology as the gold standard for judging benign and malignant, to confirm the feasibility and advantages of the new technology.

This study aimed to develop a deep-learning model to automatically classify pulmonary nodules based on white-light images and to evaluate the model performance. Besides, suitable operation could be chosen with the help of this model, which could shorten the time of surgery.

The primary objective of this study is to evaluate the performance of the Ion Endoluminal System with real-world use for pulmonary lesion localization or biopsy.

Pulmonary nodules diagnosis using breath test of volatile organic compound (VOC) is in its infancy. The accuracy of VOC analysis in diagnosing malignant pulmonary nodules varies cross the published studies. The diagnosis accuracy of VOC alone is generally poor. We speculate that the accuracy of diagnosing malignant pulmonary nodules will be improved by combining breath test with chest computed tomography (CT). This study aims to establish a predictive model of malignant pulmonary nodule using bio-markers from exhaled breath and image-markers from chest CT with retrospective data from multi centers. The sensitivity, specificity and accuracy of the model will be validated prospectively.

Background Transthoracic computed tomography (CT)-guided procedures are the current gold Standard for obtaining diagnostic biopsies of solitary pulmonary nodules (SPN) in the peripheral lung. Novel endobronchial techniques, such as electromagnetic navigation bronchoscopy (ENB) or Virtual bronchoscopic navigation (VBN) are considered safer to approach SPNs. The newest technique combines VBN with calculating the access to a SPN via a transparenchymal route. In contrast to the gold Standard transthoracic approach, also small lesions, and lesions which cannot be reached transthoracicaliy, located in the innertwo thirdsof the lung can be approached. Main research question To assess diagnostic yield of the novel Standard of care 'Virtual bronchoscopy navigation" procedure. Design (including population, confounders/outcomes) A single centre, prospective, observational study of patients undergoing the novel Standard of care Virtual bronchoscopy navigation procedure to assess a pulmonary nodule. Clinical data of at least 100 consecutive patients will be collected.

Correlate performance of LungLB Test with outcome of a scheduled biopsy.

Patients with lung nodules may develop a variety of potentially severe symptoms. These symptoms may impact a patient's quality of life and lead to difficult treatment. Through this research program, the investigators want to understand the pathogenesis of the changes of these symptoms.

The goal of this prospective, multi-center, single-arm, clinical study is to evaluate the clinical utility and performance of the FDA-cleared Ion™ Endoluminal System ("Ion") for bronchoscopically approaching and facilitating the tissue sampling of pulmonary nodules.