Study on building disease risk prediction model of patients with structural heart disease based on multimodal imaging based on machine learning

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400086685

Enrollment

Unknown

Registered

2024-07-09

Start date

2024-07-15

Completion date

Unknown

Last updated

2024-07-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Structural heart disease

Interventions

Gold Standard:Imaging diagnosis by radiologist

Index test:Cardiovascular imaging multi-modal data fusion, including echocardiography, cardiac MRI, cardiac CT, coronary CT, positron emission tomography technology

Eligibility

Sex/Gender

All

Age

18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed with structural heart disease; 2. Age 18-85; 3. The expected survival of the patients was greater than 12 months; 4. Patients with good compliance who volunteered for follow-up

Exclusion criteria

Exclusion criteria: 1. Unable to tolerate imaging evaluation of cardiac structure and function due to severe disease; 2. Have a history of drug abuse; 3. Blood biomarkers and imaging indicators cannot be reviewed regularly at follow-up visits; 4. End-stage renal failure (defined as glomerular filtration rate less than 15ml/min.m2)

Design outcomes

Primary

Measure	Time frame
Left ventricular ejection fraction;Left ventricular end-diastolic diameter;Left ventricular global longitudinal strain;sensitivity;specificity;	—

Secondary

Measure	Time frame
mortality rate;Readmission rate;	—

Countries

China

Contacts

Public ContactYing Liu

The First Affiliated Hospital of Dalian Medical University

18098875801@163.com+86 180 9887 5801

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026