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A prospective observational cohort study of photon counting CT in urological diseases

Photon Counting CT Based Imaging and Artificial Intelligence Assisted Prediction of Urinary Diseases

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100267
Enrollment
Unknown
Registered
2025-04-07
Start date
2024-11-02
Completion date
Unknown
Last updated
2025-04-14

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

Conditions

Diseases of urinary system

Interventions

PCCT group:None
ForceCT group:None

Sponsors

The First Affiliated Hospital of Zhengzhou University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age 18-80 years; 2. No recent CT scan history in the past 30 days; 3. The patient is stable and can receive CT enhanced imaging.

Exclusion criteria

Exclusion criteria: 1. Non-urinary system diseases; 2. Persons unable to provide informed consent.

Design outcomes

Primary

MeasureTime frame
CT image evaluation ;Signal to Noise Ratio;diagnostic accuracy;—

Countries

Chian

Contacts

Public ContactZhu Lina

The First Affiliated Hospital of Zhengzhou University

zzh2020@163.com+86 186 3972 6007

Outcome results

None listed

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