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Automatic measurement of blood flow in internal fistula for dialysis by Doppler ultrasound based on artificial intelligence

Automatic measurement of blood flow in internal fistula for dialysis by Doppler ultrasound based on artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300072363
Enrollment
Unknown
Registered
2023-06-12
Start date
2023-06-12
Completion date
Unknown
Last updated
2023-06-18

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

Conditions

End-stage kidney disease (ESKD)

Interventions

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

Sponsors

Peking University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age =14 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; 4. Brachial artery vascular structure images can be recognized.

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
blood flow volume of intravascular fistula;—

Countries

China

Contacts

Public ContactWei Liang

Peking University Shenzhen Hospital

lawem_197@163.com+86 136 8880 2422

Outcome results

None listed

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