Active clinical trials for "Multiple Pulmonary Nodules"

Fluorescence-navigated thoracoscopic imaging with indocyanine green (ICG) is a novel technique for detection of small pulmonary nodules other than traditional radiography or intraoperative palpation. As a non-targeted fluorescent contrast agent, ICG accumulates in tumors by the enhanced permeability and retention effect (EPR), making the lesions fluoresce under fluorescent imaging. However, the optimal dosage and injection time of ICG are still under exploration. Hence, we perform this study in humans made up of four groups to determine the optimal time and dose.

The study is designed as a multi-center prospective trial of ENB for the diagnosis of peripheral pulmonary nodules in the real world. The purpose of the study is to identify the optimal method of using ENB.

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.

To proof the feasibility and safety of EBUS guided transbronchial cryo biopsies in peripheral lung lesions

This clinical trial studies positron emission tomography (PET) imaging utilizing 18F-(2S,4R)4-fluoroglutamine, a glutamic acid derivative, to image patients with Newly Diagnosed Lung Cancer or Indeterminate Pulmonary Nodules. [18F]Fluoroglutamine PET may provide additional information that help diagnose lung cancer.

This study evaluates the value of different bronchoscopy combination for diagnosing peripheral pulmonary lesions suspected to be cancer. One-third of participants will receive routine bronchoscopy, while one-third of participants will receive bronchoscopy combined with a guiding equipment and the other one-third of participants will receive bronchoscopy combined with two or more guiding equipments. These guiding equipments include virtual bronchoscopic navigation(VBN), endobronchial ultrasonography with a guide sheath(EBUS-GS) and fluoroscopy.

The purpose of this study was to compare the safety and efficacy of CT-guided needle guidance using stereotaxic unit, navigation versus conventional biopsy technique for the patients scheduled to undergo percutaneous pulmonary nodule biopsy.

The objective of this study is to assess the inoculation-related symptoms and long-term effects of COVID-19 vaccines in patients with lung cancer or pulmonary nodules in a real-world setting. The investigators aim to provide high-quality evidence for the COVID-19 vaccines in cancer/pre-cancer patients, and to address their concern about the safety profile of the newly developed vaccines.

The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.

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.