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Research on Artificial Intelligence-based Doppler Ultrasound Automatic Measurement Technology for Arteriovenous Fistula Vascular Stenosis Lesions in Dialysis

Research on Artificial Intelligence-based Doppler Ultrasound Automatic Measurement Technology for Arteriovenous Fistula Vascular Stenosis Lesions in Dialysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112799
Enrollment
Unknown
Registered
2025-11-19
Start date
2025-11-24
Completion date
Unknown
Last updated
2025-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

End-stage kidney disease

Interventions

Long-term hemodialysis patients using autologous fistula vascular access:None

Sponsors

PEKING UNIVERSITY SHENZHEN HOSPITAL
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1.Age 18-80 years old; 2.Long-term hemodialysis patients with autologous fistula vascular access in the nephrology Department of Peking University Shenzhen Hospital; 3.Follow-up patients with newly established spontaneous fistula;

Exclusion criteria

Exclusion criteria: 1.Patients with internal fistula occlusion; 2.Patients with severe cardiovascular and cerebrovascular diseases; 3.Patients who are unable to cooperate with the examination; 4.Non-professional recommendation established vascular access patients;

Design outcomes

Primary

MeasureTime frame
Internal fistula vascular stenosis lesion diameter;—

Countries

China

Contacts

Public ContactWEI LIANG

PEKING UNIVERSITY SHENZHEN HOSPITAL

lawem197@126.com+86 755 8392 3333

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026