| Unique ID issued by UMIN | UMIN000057873 |
|---|---|
| Receipt number | R000065010 |
| Scientific Title | Development of a prediction method of percutaneous kidney biopsy success and complication using kidney biopsy image analysis |
| Date of disclosure of the study information | 2025/05/19 |
| Last modified on | 2025/11/16 22:49:35 |
An attempt for improve kidney biopsy by image analysis
Image analysis of kidney biopsy
Development of a prediction method of percutaneous kidney biopsy success and complication using kidney biopsy image analysis
Image analysis of kidney biopsy
| Japan |
chronic kidney disease and acute kidney injury
| Nephrology |
Others
NO
By analyzing kidney biopsy images to predict success and potential complications, we aim to develop new equipment and improve kidney biopsy techniques.
Efficacy
Exploratory
Prediction accuracy of achieving kidney samples and complications in kidney biopsy.
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
Patients who undergo percutaneous kidney biopsy
Patients who have cognitive impairment
200
| 1st name | Yosuke |
| Middle name | |
| Last name | Hirakawa |
the University of Tokyo Hospital
Division of Nephrology and Endocrinology
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo
81-3-3815-5411
yhirakawa@g.ecc.u-tokyo.ac.jp
| 1st name | Yosuke |
| Middle name | |
| Last name | Hirakawa |
the University of Tokyo Hospital
the University of Tokyo Hospital
113-8655
7-3-1, Hongo, Bunkyo-ku, Tokyo
81-3-3815-5411
yhirakawa@g.ecc.u-tokyo.ac.jp
The University of Tokyo
No funding agent
Other
Japan
the University of Tokyo School of Medicine
7-3-1, Hongo, Bunkyo-ku, Tokyo
03-5841-0818
ethics@m.u-tokyo.ac.jp
NO
| 2025 | Year | 05 | Month | 19 | Day |
Unpublished
Enrolling by invitation
| 2024 | Year | 11 | Month | 27 | Day |
| 2024 | Year | 11 | Month | 27 | Day |
| 2025 | Year | 05 | Month | 01 | Day |
| 2027 | Year | 03 | Month | 31 | Day |
Analysis of image data of percutaneous kidney biopsy to predict successful oricedure
| 2025 | Year | 05 | Month | 15 | Day |
| 2025 | Year | 11 | Month | 16 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000065010