Development of an assessment method for the risk of progression in chronic kidney disease using MRI (magnetic resonance imaging) and artificial intelligence.

Construction of an AI assessment system for the risk of CKD progression using renal functional MRI data - Construction of an AI assessment system for the risk of CKD progression using renal functional MRI data

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000037310

Enrollment

100

Registered

2019-08-01

Start date

2019-08-01

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

chronic kidney disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: An adult chronic kidney disease patient without any MRI contraindications who regular visits the participating hospital.

Exclusion criteria

Exclusion criteria: After the introduction of renal replacement therapy, MRI contraindications, children, acute kidney injury, unilateral kidney disease (such as renovascular hypertension), kidney tumors, nephrotic syndrome, cystic disease, and postrenal renal failure

Design outcomes

Primary

Measure	Time frame
Decreases in estimated glomerular filtration rate	—

Countries

Japan

Contacts

Public ContactHirokazu Okada

Saitama Medical University Department of Nephrology

hirookda@saitama-med.ac.jp0492761611

Outcome results