Active clinical trials for "Multiple Pulmonary Nodules"

evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in the detection of pulmonary nodules.

Neoadjuvant Immunotherapy in Early Stage Non-small-cell Lung Cancer Presenting as Synchronous Ground-glass Nodules: a pilot study

This study is a multi-centre prospective observational cohort study recruiting patients with 5-30mm solid and part-solid pulmonary nodules that have been detected on CT chest scans performed as part of routine practice. The aim is to determine whether physician decision making with the AI-based LCP tool, generates clinical and health-economic benefits over the current standard of care of these patients.

The purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. A PET/CT scan is already used for diagnosis of lung nodules, but its efficacy is uncertain in nodules 6-20 mm in size. Therefore, the PET/CT will be evaluated for its diagnostic ability in lesions this size alone and in combination with a liquid biopsy. Secondarily, a machine learning model will be created to see if the combination of the PET/CT imaging data and the liquid biopsy data can predict the presence of cancer.

The purpose of this study is to collect information on the iNod™ System's safety and ability to see the iNod™ biopsy needle in real-time in endobronchial lesions, peripheral lung nodules, or lung masses.

The study objectives are as follows: To determine the safety of trial 18F-2-fluoro-2-deoxy-D-glucose, produced by a new manufacturer, by surveillance for adverse events in patients having Positron Emission Tomography Computed Tomography scans in a comprehensive program for indications including, but not limited to, oncology, neurology, cardiac and infectious/inflammatory processes. To determine the efficacy of 18F-2-fluoro-2-deoxy-D-glucose Positron Emission Tomography in differentiating benign from malignant solitary pulmonary nodules and calculate sensitivity, specificity, and accuracy using pathologic confirmation as the gold standard when available, or greater than 6 month follow up stability on Computed Tomography scan when not. The purpose of performing this clinical trial is to provide local access of 18F-2-fluoro-2-deoxy-D-glucose to the patients of Newfoundland and Labrador. This product has been offered to patients over the last three years by transporting from facilities outside of the province. There have been significant delays in access and in fact, times where 18F-2-fluoro-2-deoxy-D-glucose has not been available through this process. This has caused delays and limitations of treatments for patients who rely on Positron Emission Tomography Computed Tomography scans for diagnosis.

This is a pragmatic clinical trial that will study the effect of a radiomics-based computer-aided diagnosis (CAD) tool on clinicians' management of pulmonary nodules (PNs) compared to usual care. Adults aged 35-89 years with 8-30mm PNs evaluated at Penn Medicine PN clinics will undergo 1:1 randomization to one of two groups, defined by the PN malignancy risk stratification strategy used by evaluating clinicians: 1) usual care or 2) usual care + use of a radiomics-based CAD tool.

The overall objective of this study is to evaluate procedure characteristics of pulmonary nodule biopsies using the integrated version of Cios Spin and the Ion Endoluminal System.

Artificial intelligence (AI) based algorithms have demonstrated increased accuracy in predicting the risk of Lung Cancer among patients with an incidental pulmonary nodule (IPN) on chest radiographs. Qure.ai, an AI company specializing in the reading of chest X- Rays (CXRs) by a proprietary algorithm and has developed a new model, qXR, that can report the lung nodule malignancy score (LNMS) based on lung nodule features. Our study aims to prospectively validate the lung nodule malignancy score against radiologist assessment of CT scans and Lung CT Screening Reporting and Data System score (Lung-RADS).(lung RADS score explained below) Thus, lung nodule malignancy score (interpreted by qXR as a high or low category) will be compared with radiologist-based assessment probability of CT scan and Lung-RADS assessment. The results of this prospective observational study will pave the way for improved nodule management, leading to better clinical outcomes in patients with incidental pulmonary nodule (IPNs), especially concerning malignancy assessment.

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.