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Thin-Slice MRI of the Joints with DLR

2D Thin-Slice MRI of the Joints with Deep Learning Reconstruction (DLR)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-jRCTs052200013
Enrollment
200
Registered
2020-05-14
Start date
2020-09-29
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

rotator cuff tear, meniscal tear, medial collateral ligament tear of the elbow, etc

Interventions

Scan MR images for research that are not scanned routinely.

Sponsors

Kakigi Takahide
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Subjects older than 20 years who gave informed consent. 2) Subjects with joints symptoms who orthopedic physician judged that it was necessary to for peforming MRI of the joints. 3) Subjects who have obtained informed consent from subjects to join this study.

Exclusion criteria

Exclusion criteria: 1) Subjects who cannot perform MRI for the following reasons 1. Cardiac pacemaker 2. The possibility of pregnancy 3. Severe arrhythmia 4. Aneurymal clipping 5. Mechanical valve replacement of the heart 6. Cochlear implant and hearing aid 7. Intravenous filter to prevent thrombus 8. Electrode and conductor in body 9. Insulin pump 10. Bone therapy with metalic pin and device 11. Artificial joint 12. Intrauterine device 13. Neurostimulation device 14. Visual impairment 15. Acoustic impairment 16. Respiratory disease 17. Aspiration disease 18. Motor impairment 19. Conciousness disturbance 20. Electric device and its fragment in body for therapy 21. Permanent tatoo or tatooed eyeliner 22. Color contact lenses 2) Subjects who have severe communication diseases (because we cannot talk with subjects when touble happens during scan) 3) Subjects who have severe systemic conditions (such as abnormal vital signs) 4) Subjects who doctors consider inappropriate as research subjects

Design outcomes

Primary

MeasureTime frame
1) Quality of MR images 2) Quantitatve values of MR images

Contacts

Public ContactTakahide Kakigi

Kyoto University Hospital

tkakigi@kuhp.kyoto-u.ac.jp+81-75-751-3760

Outcome results

None listed

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