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| Name | Class |
|---|---|
| Severance Hospital | OTHER |
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The investigators aim to investigate the association between renal volume measured through pre-donation CT auto-segmentation and postoperative renal function of both donors and recipients. After establishing the statistical significance of the association, the investigators intend to create and validate predictive models for renal function at surgery, 1 year, and 3 years postoperatively, incorporating various factors known to contribute to renal function deterioration.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| kidney transplant group |
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| Measure | Description | Time Frame |
|---|---|---|
| Prediction models for the residual renal function of donors and the graft kidney function of recipient after live donor kidney transplantation | 1 and 3 years after transplantation |
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Inclusion Criteria:
Exclusion Criteria:
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live kidney donors and paired their recipients.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sangil Min, MD, PhD | Contact | 01071739341 | surgeonmsi@gmail.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Hospital | Recruiting | Seoul | 110-744 | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39116451 | Derived | Jo EA, Lee J, Moon S, Kim JS, Han A, Ha J, Kim YC, Min S. The role of artificial intelligence measured preoperative kidney volume in predicting kidney function loss in elderly kidney donors: a multicenter cohort study. Int J Surg. 2024 Nov 1;110(11):7169-7176. doi: 10.1097/JS9.0000000000002030. |
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