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OpenTrials
Completed

NCT Number: NCT06600750

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

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 maturation. The main question it aims to answer is:

Can AI-driven models analyzing comprehensive ultrasonographic variables accurately predict the successful maturation of arteriovenous fistulas (AVFs)?

Participants who underwent radiocephalic arteriovenous fistula (AVF) creation had their preoperative ultrasonographic data analyzed using AI-driven models to predict successful AVF maturation over a four-year retrospective period.

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Key information

Conditions

Renal Insufficiency, Chronic Arteriovenous Fistula Arteriovenous Malformations Artificial Intelligence (AI) Cardiovascular Abnormalities Cardiovascular Diseases Chronic Disease Congenital Abnormalities Congenital, Hereditary, and Neonatal Diseases and Abnormalities Disease Attributes Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Fistula Kidney Diseases Machine Learning Male Urogenital Diseases Pathologic Processes Pathological Conditions, Anatomical Pathological Conditions, Signs and Symptoms Renal Insufficiency Urogenital Diseases Urologic Diseases Vascular Diseases Vascular Fistula Vascular Malformations

Sex eligibility

All sexes

Study type

Observational

Primary location

Seoul National University Hospital

Seoul, 03080, South Korea

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

  • Patients who did not have follow-up data available

Treatment and study plan

Arteriovenous fistula

Procedure

Patients who underwent Radiocephalic arteriovenous fistula surgery

Primary outcomes

  1. Maturation of the fistula

    Time frame: 90 days

    Fistula maturation was defined as an arteriovenous fistula that matures and is usable for dialysis with two-needle cannulation for hemodialysis for at least 90 days without the need for endovascular or surgical interventions.

Sponsors and collaborators

Lead sponsor

Seoul National University Hospital

Other

Registry information

Important dates

Study start
2018
Primary completion
2022
Study completion
2023
First posted
Sep 19, 2024
Registry last updated
Sep 26, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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