Status:

COMPLETED

Artificial Intelligence-based Prediction of Radio-cephalic Arteriovenous Fistula Maturation Using Preoperative Duplex Examination

Lead Sponsor:

Seoul National University Hospital

Conditions:

Renal Insufficiency, Chronic

Arteriovenous Fistula

Eligibility:

All Genders

Brief Summary

The goal of this observational study is to assess the efficacy of AI-driven models in analyzing comprehensive ultrasonographic variables across multiple forearm locations to predict successful AVF mat...

Eligibility Criteria

Inclusion

  • patients who underwent RCAVF due to advanced chronic kidney disease from 2018 to 2022

Exclusion

  • Patients who did not have follow-up data available

Key Trial Info

Start Date :

January 1 2018

Trial Type :

OBSERVATIONAL

Allocation :

ACTUAL

End Date :

December 31 2023

Estimated Enrollment :

494 Patients enrolled

Trial Details

Trial ID

NCT06600750

Start Date

January 1 2018

End Date

December 31 2023

Last Update

September 26 2024

Active Locations (1)

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1

Seoul National University Hospital

Seoul, Seoul, South Korea, 03080