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Establish an intelligent assessment system for kidney stone burden based on CT images

Establish an intelligent assessment system for kidney stone burden based on CT images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121857
Enrollment
Unknown
Registered
2026-04-05
Start date
2026-04-06
Completion date
Unknown
Last updated
2026-04-14

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

Conditions

Urinary system stones

Interventions

Urological system stone imaging observation group:None

Sponsors

Sun Yat-sen Memorial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Diagnose kidney stones; 2. Perform ureteroscopic lithotripsy to break up and remove the stones.

Exclusion criteria

Exclusion criteria: Clinical or imaging data is missing.

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Secondary

MeasureTime frame
Sensitivity;Specificity;Positive predictive value;Negative predictive value;—

Countries

China

Contacts

Public ContactXu Kewei

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

xukewei@mail.sysu.edu.cn+86 20 8133 3407

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 17, 2026