Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography

Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography - Feasibility of late iodine enhancement CT with IMR

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000022854

Enrollment

Registered

2016-07-15

Start date

2013-01-01

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

Coronary artery disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: (1) patients aged between 40 and 85 years (2) clinically known or suspected of coronary artery disease

Exclusion criteria

Exclusion criteria: (1) acute myocardial infarction (2) cardiomyopathy (3) severe left ventricular (LV) dysfunction (ejection fraction <20%) (4) chronic atrial fibrillation (5) greater than first degree atrioventricular block

Design outcomes

Primary

Measure	Time frame
Image quality score (visual score, signal to noise ratio, contrast to noise ratio) Diagnostic performance for detecting MI (sensitivity, specificity, positive predictive value, negative predictive value)	—

Secondary

Measure	Time frame
Image noise CT attenuation difference between remote and infarcts myocardium Reproducibility of diagnostic performance for detecting MI Correlation in %MI volume between CT and MRI	—

Countries

Japan

Contacts

Public ContactYuki Tanabe

Ehime University Graduate School of Medicine Department of Radiology

yuki.tanabe.0225@gmail.com089-960-5371

Outcome results