Active clinical trials for "Solitary Pulmonary Nodule"

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.

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.

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.

A single-centre, industry sponsored, pilot study to assess the feasibility of Single Exposure Dual Energy Subtraction with a Multi-Energy digital radiography detector as an imaging platform for lung lesion detection.

Investigation of application possibilities of optical spectroscopy within the field of oncology. Optical spectroscopy enables the possibility to specifically differentiate between different (human) tissues. The hypothesis is that incorporation of this technique into existing medical devices (e.g. biopsy needle) would enlarge the accuracy and reliability of these devices. The purpose is to improve and speed up the diagnostics and therapy of the malignancies.

The goal of this study is to collect post-market data for the Ion Endoluminal System to understand CT to body divergence.