An attempt for improve kidney biopsy by image analysis

Development of a prediction method of percutaneous kidney biopsy success and complication using kidney biopsy image analysis - Image analysis of kidney biopsy

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000057873

Enrollment

200

Registered

2025-05-19

Start date

2025-05-01

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 and acute kidney injury

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who undergo percutaneous kidney biopsy

Exclusion criteria

Exclusion criteria: Patients who have cognitive impairment

Design outcomes

Primary

Measure	Time frame
Prediction accuracy of achieving kidney samples and complications in kidney biopsy.	—

Countries

Japan

Contacts

Public ContactYosuke Hirakawa

the University of Tokyo Hospital the University of Tokyo Hospital

yhirakawa@g.ecc.u-tokyo.ac.jp81-3-3815-5411

Outcome results