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Development and Clinical Application of a Three-Level Classification Model for Renal Lesions Based on Multi-phase Enhanced CT and Deep Learning

Development and Clinical Application of a Three-Level Classification Model for Renal Lesions Based on Multi-phase Enhanced CT and Deep Learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112290
Enrollment
Unknown
Registered
2025-11-12
Start date
2025-11-15
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Renal Lesions

Interventions

Gold Standard:Pathological or >=24 months follow-up Controversial cases are arbitrated by a pathology and imaging expert committee.
Index test:A multi-phase enhanced CT-based model for the three-level classification of renal lesions

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Retrospective studies: 1. Age >= 18 years; 2. Complete multi-phase contrast-enhanced CT (>=3 phases); 3. Gold standard confirmation (pathology or >=24 months follow-up) Prospective studies: 1. Age >= 18 years; 2. Suspected renal lesion requiring CT examination at initial diagnosis; 3: Signed informed consent

Exclusion criteria

Exclusion criteria: Retrospective studies: 1. Poor CT image quality; 2. History of previous kidney treatment; 3. Incomplete data. Prospective studies: 1. Pregnant/lactating women; 2. History of previous kidney treatment; 3. Inability to complete follow-up.

Design outcomes

Primary

MeasureTime frame
Area Under the Receiver Operating Characteristic Curve, AUC;

Secondary

MeasureTime frame
Sensitivity;Specificity;Negative predictive value (NPV);Positive predictive value (PPV);

Countries

China

Contacts

Public ContactYun Bian

Shanghai Changhail Hospital

bianyun2012@foxmail.com+86 138 1635 7024

Outcome results

None listed

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