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

September 24, 2024 updated by: Ara Cho, Seoul National University Hospital

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.

Study Overview

Study Type

Observational

Enrollment (Actual)

494

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

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

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients who underwent radiocephalic arteriovenous fistula due to advanced chronic kidney disease
Patients who underwent Radiocephalic arteriovenous fistula surgery

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
90 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2018

Primary Completion (Actual)

December 31, 2022

Study Completion (Actual)

December 31, 2023

Study Registration Dates

First Submitted

September 16, 2024

First Submitted That Met QC Criteria

September 16, 2024

First Posted (Actual)

September 19, 2024

Study Record Updates

Last Update Posted (Actual)

September 26, 2024

Last Update Submitted That Met QC Criteria

September 24, 2024

Last Verified

September 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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