Actively Recruiting

Age: 14Years +
All Genders
ID06526468

CHinese pulmOnary Embolism Multimodality Imaging-artifiCial intelligencE Study (CHOICE)

Led by China-Japan Friendship Hospital · Updated on 2024-08-28

1500

Participants Needed

1

Research Sites

52 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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

Brief Title

Chinese PE Multimodality Imaging Artificial Intelligence Study

Who Can Participate

Age: 14Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • 14 Years and older
  • Patients suspected of pulmonary embolism
Not Eligible

You will not qualify if you...

  • Pregnant women
  • Refuse to follow up
  • Incomplete or discontinued imaging scans
  • Insufficient quality of image data to allow for analysis

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

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

Long-term Monitoring

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

Trial Site Locations

Total: 1 location

1

China-Japan Frendship hospital

Beijing, China, 100029

Actively Recruiting

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Research Team

M

Min Liu, PhD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

4

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Published Research Related To This Trial

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/40825922