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Confirmatory study of high resolution ultrasound imaging of the carotid artery using frequency domain interferometry

Confirmatory study of high resolution ultrasound imaging of the carotid artery using frequency domain interferometry - Confirmatory study of high resolution ultrasound imaging

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000018100
Enrollment
30
Registered
2015-07-01
Start date
2015-07-01
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

diabetes mellitus

Interventions

Acquiring the ultrasound image of carotid artery.

Sponsors

Kyoto University
Lead Sponsor
Tohoku University
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Inpatients of Department of Diabetes and Clinical Nutrition, Kyoto University, with diabetes mellitus type 1 or 2. 2) The age of a patient ranges from 20 to 80 at the registration. 3) The patient gives a written consent to participate in this study.

Exclusion criteria

Exclusion criteria: 1) Patient with a cardiac pacemaker. 2) Patient receiving total parenteral nutrition. 3) Patient with stents at both of the carotid arteries. 4) Patient with carotid endarterectomy at both of the carotid arteries. 5) Patient with walking difficulty. 6) Pregnant woman, woman who has a possibility to be pregnant, and woman at lactation period. 7) Patient who is inappropriate to this study, judged by the lead principal investigator or the doctor in attendance.

Design outcomes

Primary

MeasureTime frame
We investigate the performance of the high-resolution method in depicting arterial wall of human carotid artery.

Secondary

MeasureTime frame
We compare the carotid intima-media thickness and the blood test values. We investigate the performance of the ultrasound elastography imaging method for carotid artery.

Countries

Japan

Contacts

Public ContactToru Sato

Kyoto University Graduate School of Informatics

sato.toru.6e@kyoto-u.ac.jp075-753-3365

Outcome results

None listed

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