Active clinical trials for "Multiple Pulmonary Nodules"

Lung cancer is one of the leading cause of cancer related death in China. Lung cancer screening with low-dose computed tomography was considered as a better approach than radiography. However, the role of Lung cancer screening with Low-dose CT (LDCT) among Chinese people remains unclear. With rapid development of artificial intelligence (AI),the application of AI in detection and diagnosis of diseases has become research focus. Moreover, patients' psychological status also plays an important role in diagnosis and treatment. This study focuses on detection and natural history management of lung nodule and lung cancer with AI assisted chest CT among people living in North China, and aims to investigate epidemiological results, patients' medical records and social psychological status.

Among the causes of the solitary pulmonary nodule (SPN), benign causes including tuberculosis was noted on 15 to 60 percents in various studies. Although the characteristics of chest imaging is helpful in diagnosis and percutaneous needle biopsy for pulmonary nodule has been represented high diagnostic yield in many reports, but still surgical biopsy has been needed in definite diagnosis of pulmonary nodules in many cases. The aim of this study is to evaluate the usefulness of interferon-gamma release assay in addition to the percutaneous needle biopsy, in diagnosis of pulmonary nodules.

The purpose of this study is to detetct Circulating tumor cells(CTCs) and Cancer Associated Macrophage-Like cells (CAMLs) in patients with pulmonary nodules using a novel microfluidic CTC-detection system. Then construct an early diagnostic model for lung cancer.