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Evaluation of GE and Cardiac Parameters on Artificial Intelligence in Patients with Myocarditis

Staging diagnosis and evaluation of microcirculation disturbance in myocarditis by MPI combined with T2WI, EGE and LGE on CMRI

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800020447
Enrollment
Unknown
Registered
2018-12-30
Start date
2018-07-01
Completion date
Unknown
Last updated
2019-01-14

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

Conditions

Myocarditis

Interventions

Gold Standard:Endomyocardial biopsy
Index test:Gadolinium&#32
enhancement
&#32
Left-ventricular&#32
parameters&#32
on&#32
Artificial&#32
Intelligence

Sponsors

The First Affiliated Hospital of Chengdu Medical College
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with presumptively clinical diagnosis of myocarditis in accordance with a combination of clinical signs and symptoms, including chest pain, exhaustion and palpitations, as well as 24-hour dynamic electrocardiographic abnormities.

Exclusion criteria

Exclusion criteria: Parents without pathologically proven myocarditis.

Design outcomes

Primary

MeasureTime frame
Gadolinium enhancement;Left-ventricular parameters on Artificial Intelligence;—

Countries

China

Contacts

Public ContactWei-Feng Yuan

The First Affiliated Hospital of Chengdu Medical College

yuanweifeng3721@hotmail.com+86 18200333803

Outcome results

None listed

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