Clinical application of artificial neural network for myocardial perfusion imaging analysis

Clinical application of artificial neural network for myocardial perfusion imaging analysis - Analysis of myocardial perfusion imaging with artificial neural network

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000033819

Enrollment

1000

Registered

2018-08-22

Start date

2018-07-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Ischemic heart disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who underwent ECG gated myocardial perfusion SPECT and suspicious of ischemic heart diseases

Exclusion criteria

Exclusion criteria: Cases that cannot be analyzed reliably due to extra-cardiac activity Arrhythmia inappropriate for gating

Design outcomes

Primary

Measure	Time frame
Diagnostic accuracy of coronary artery disease or ischemia	—

Countries

Japan

Contacts

Public ContactNakajima, Kenichi

Kanazawa University Nuclear Medicine

nakajima@med.kanazawa-u.ac.jp076-265-2333

Outcome results