Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism.
Linfeng Xi, Jianping Wang, Anqi Liu...
https://pubmed.ncbi.nlm.nih.gov/40825922Actively Recruiting
Led by China-Japan Friendship Hospital · Updated on 2024-08-28
1500
Participants Needed
1
Research Sites
52 weeks
Total Duration
The CHinese pulmOnary Embolism Multimodality Imaging-artifiCial intelligencE Study (CHOICE) is a prospective observational study conducted across multiple centers in China. It focuses on patients with pulmonary embolism (PE), including acute pulmonary embolism (APE), chronic thromboembolic pulmonary disease (CTEPD), and chronic thromboembolic pulmonary hypertension (CTEPH). The study aims to use artificial intelligence (AI) to identify imaging markers that help in early diagnosis, risk stratification, differential diagnosis, and prognosis of PE, a condition with significant health risks. The study collects imaging text data and raw imaging data from patients diagnosed with PE confirmed by computed tomography pulmonary angiography (CTPA), lung ventilation/perfusion (V/Q) scan, or pulmonary angiography. AI technology will process these images to provide new imaging markers and generate radiology reports with key imaging slices and evaluation results. The study includes different patient groups based on the stage and severity of PE and related conditions, such as those with acute symptomatic PE, chronic thromboembolic pulmonary disease with or without pulmonary hypertension, and other pulmonary vascular diseases. Participants will undergo multimodal imaging tests including CTPA, MRI, echocardiography, and V/Q scans. Researchers will study diagnostic rates of PE, risk stratification, disease severity, mortality, discordant case rates, AI detection failure, hospital stay length, time to diagnosis, and hospitalization costs over a two-year period. The study monitors participants' imaging data quality and follow-up, aiming to integrate AI tools into clinical practice to improve PE management and cost-effectiveness.
CONDITIONS
Chinese PE Multimodality Imaging Artificial Intelligence Study
You may qualify if you...
You will not qualify if you...
Complete this quick 3-step screening to check your eligibility
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Up to 3 months
Participants undergo multimodal imaging tests including computed tomography pulmonary angiography (CTPA), magnetic resonance imaging (MRI), echocardiography, and lung ventilation/perfusion (V/Q) scans to assist in the diagnosis and risk stratification of pulmonary embolism.
Imaging visits as clinically indicated
Duration - Up to 2 years
Participants are observed over time to evaluate disease severity, treatment response, and outcomes related to pulmonary embolism using imaging and clinical data integrated with artificial intelligence technology.
Periodic visits depending on clinical needs
Total: 1 location
1
China-Japan Frendship hospital
Beijing, China, 100029
Actively Recruiting
M
Min Liu, PhD
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
4
Have more questions? Get in touch with our team for quick support
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here
Linfeng Xi, Jianping Wang, Anqi Liu...
https://pubmed.ncbi.nlm.nih.gov/40825922