NCT06526468

Brief Summary

The CHinese pulmOnary Embolism Multimodality Imaging-artifiCial intelligencE Study (CHOICE) is a prospective observational multi-center study that will collect imaging text data and raw data of patients with pulmonary embolism (PE) in China. By combining artificial intelligence technology, it aims to identify imaging markers to assist in early diagnosis, differential diagnosis, risk stratification, and prognosis assessment of PE.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,500

participants targeted

Target at P75+ for all trials

Timeline
28mo left

Started Sep 2010

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress87%
Sep 2010Sep 2028

Study Start

First participant enrolled

September 1, 2010

Completed
13.8 years until next milestone

First Submitted

Initial submission to the registry

June 15, 2024

Completed
1 month until next milestone

First Posted

Study publicly available on registry

July 29, 2024

Completed
3.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2027

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2028

Last Updated

August 28, 2024

Status Verified

August 1, 2024

Enrollment Period

17 years

First QC Date

June 15, 2024

Last Update Submit

August 27, 2024

Conditions

Keywords

imagingearly diagnosisdifferential diagnosisrisk stratificationprognosis assessment

Outcome Measures

Primary Outcomes (4)

  • Diagnostic rate of PE

    Comparison before and after AI technique.

    2 years

  • APE risk stratification rates (low, intermediate low, intermediate high and high risk)

    Comparison before and after AI technique.

    2 years

  • Disease severity of chronic thromboembolic pulmonary disease (CTEPD)/chronic thromboembolic pulmonary hypertension (CTEPH)

    Comparison before and after AI technique. Assessment of disease severity is comprehensive, referring to the comprehensive risk assessment in pulmonary arterial hypertension (three-strata model) \[DOI: 10.1183/13993003.00879-2022\], including clinical observations and modifiable variables. The higher the score, the more severe the condition.

    2 years

  • 30 day mortality

    Patient mortality (death) at 30-days post-PE diagnosis. Comparison before and after AI technique.

    2 years

Secondary Outcomes (6)

  • Rate of discordant PE cases

    2 years

  • AI failure rate for PE detection

    2 years

  • 12 month mortality

    2 years

  • Length of hospital stay for PE

    2 years

  • Time from symptom onset to final diagnosis

    3 months

  • +1 more secondary outcomes

Study Arms (4)

Acute pulmonary embolism cohort

1. Patients objectively confirmed acute symptomatic PE or PE with deep vein thrombosis (DVT) 2. PE was confirmed by CTPA, lung V/Q scan or pulmonary angiography.

Device: Artificial Intelligence

Chronic thromboembolic pulmonary disease without pulmonary hypertension cohort

1. Patients with functional impairment despite 3 months of adequate anticoagulation therapy after APE. 2. CTPA/ pulmonary angiography or V/Q scan showed unresolved thrombi in the pulmonary vessels. 3. Without pulmonary hypertension at rest(mean pulmonary arterial pressure (mPAP) \<20 mmHg), as measured by right heart catheterization.

Device: Artificial Intelligence

Chronic thromboembolic pulmonary hypertension cohort

1. Patients with functional impairment despite 3 months of adequate anticoagulation therapy 2. CTPA/ pulmonary angiography or V/Q scan showed unresolved thrombi in the pulmonary vessels. 3. With pulmonary hypertension at rest (mean pulmonary arterial pressure (mPAP) \>20 mmHg), as measured by right heart catheterization.

Device: Artificial Intelligence

Other pulmonary vascular disease cohort

Patients diagnosed with other pulmonary vascular disease including Takayasu arteritis, pulmonary artery sarcoma, and fibrosing mediastinitis.

Device: Artificial Intelligence

Interventions

AI technology will provide novel imaging markers and generate a radiology report with relevant key slice imaging and evaluation results

Acute pulmonary embolism cohortChronic thromboembolic pulmonary disease without pulmonary hypertension cohortChronic thromboembolic pulmonary hypertension cohortOther pulmonary vascular disease cohort

Eligibility Criteria

Age14 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients suspected of PE in China

You may qualify if:

  • Years and older
  • Patients suspected of PE

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

China-Japan Frendship hospital

Beijing, 100029, China

RECRUITING

Related Publications (1)

  • Xi L, Wang J, Liu A, Ni Y, Du J, Huang Q, Li Y, Wen J, Wang H, Zhang S, Zhang Y, Zhang Z, Wang D, Xie W, Gao Q, Cheng Y, Zhai Z, Liu M. Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism. Insights Imaging. 2025 Aug 18;16(1):182. doi: 10.1186/s13244-025-02067-6.

Biospecimen

Retention: SAMPLES WITH DNA

Blood samples and PEA specimens

MeSH Terms

Conditions

Pulmonary EmbolismDisease

Condition Hierarchy (Ancestors)

Lung DiseasesRespiratory Tract DiseasesEmbolismEmbolism and ThrombosisVascular DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Zhenguo Zhai, PhD

    China-Japan Friendship Hospital

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Clinical Professor

Study Record Dates

First Submitted

June 15, 2024

First Posted

July 29, 2024

Study Start

September 1, 2010

Primary Completion (Estimated)

September 1, 2027

Study Completion (Estimated)

September 1, 2028

Last Updated

August 28, 2024

Record last verified: 2024-08

Data Sharing

IPD Sharing
Will not share

Information gathered for this study will not be disclosed to any other person or entity, or for other research.

Locations