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Assessment of Clinical Performance of an AI Program for Measuring Thoracic Aortic Diameter

Assessment of Clinical Performance of an AI Program for Measuring Thoracic Aortic Diameter - Assessment of Clinical Performance of an AI Program for Measuring Thoracic Aortic Diameter

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000046568
Enrollment
80
Registered
2022-01-11
Start date
2021-12-01
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

Thoracic aortic aneurysm

Interventions

None listed

Sponsors

Juntendo University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who are scheduled for CT scan to examine aortic disease, especially thoracic aortic aneurysm or to follow-up thoracic aortic aneurysm.

Exclusion criteria

Exclusion criteria: 1) Suboptimal image quality of the thoracic aorta limiting evaluation of the aortic diameter. 2) Under 22 years of age at the time of obtaining consent. 3) With allergy to iodine contrast media. 4) With active asthma. 5) With Grade 4 or higher renal dysfunction (eGFR less than 30 ml/min/1.73m2). 6) Others who are judged by the principal investigator to be unsuitable as subjects.

Design outcomes

Primary

MeasureTime frame
Comparison of aorta diameters on non-contrast CT images measured by a medical doctor with the assistance of the prototype AI software and those on contrast enhanced CT images assessed by medical doctors (ground truth).

Secondary

MeasureTime frame
1. Comparison of aortic diameter measurement solely by a medical doctor or by the AI software using non-contrast CT and ground truth. 2. Comparison of aortic diameter measurements solely by the AI software using contrast enhanced CT and ground truth. 3. Comparison of aortic diameter measurement by maximal short diameter method and ground truth. 4. Influence of the AI software on interobserver variance. 5. Influence of the AI software on the reading time.

Countries

Japan

Contacts

Public ContactAkiyoshi Suzuki

Juntendo University Hospital Department of Radiology

a.suzuki.eh@juntendo.ac.jp03-3813-3111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026