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Differential Diagnosis of Benign and Malignant Complex Renal Cysts on enhanced CT Using Deep Learning

Differential diagnosis of benign and malignant complex renal cystic lesions on CT using computer-aided deep learning

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300070134
Enrollment
Unknown
Registered
2023-04-03
Start date
2021-06-07
Completion date
Unknown
Last updated
2023-05-29

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

Conditions

Cystic Renal Tumor

Interventions

Gold Standard:Postoperative pathological results
Index test:ResNet-34 deep learning model

Sponsors

The First Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to 85 Years

Inclusion criteria

Inclusion criteria: (1): Preoperative CT examination to diagnose complicated renal cyst (2): There are definite pathological results; (3): The clinical and imaging data are complete and clear.

Exclusion criteria

Exclusion criteria: (1) CT judged simple renal cyst; (2) No reliable pathological results; (3) Incomplete clinical data or unclear image images.

Design outcomes

Primary

MeasureTime frame
Area Under Curve of ROC;Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactChen Xu

The First Affiliated Hospital of Sun Yat-sen University

chenxu25@mail.sysu.edu.cn13556163928

Outcome results

None listed

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