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The Imaging Research for Liver CT Enhanced Image Generation Based on Plain Scan

The Imaging Research for Liver CT Enhanced Image Generation Based on Plain Scan

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112549
Enrollment
Unknown
Registered
2025-11-17
Start date
2025-11-21
Completion date
Unknown
Last updated
2025-11-24

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

Conditions

Chronic liver disease

Interventions

Gold Standard:Enhanced CT images formed by real scanning
Determination of chronic liver disease types Malignant diseases such as hepatocellular carcinoma and intrahepatic cholangiocarcinoma have been pathologically confirmed
A benign lesion must meet at least one of the following conditions: (1) confirmed diagnosis by three radiologists
(2) confirmed through follow-up of at least six months using two different imaging methods.
Index test:The first is the enhanced CT image generated based on plain scan images
Secondly, based on the generated enhanced CT images, radiologists make diagnoses of chronic liver diseases

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patient is aged 18 years or older; 2. Patient has no history of liver resection, transarterial chemoembolization (TACE), or radiofrequency ablation (RFA) prior to CT examination; 3. Malignant tumors are confirmed by pathology; 4. Benign lesions must meet at least one of the following conditions: (1) jointly diagnosed and confirmed by three radiologists; (2) confirmed through follow-up with at least two imaging modalities for a minimum of 6 months.

Exclusion criteria

Exclusion criteria: 1. Poor image quality; 2. Previously underwent surgical treatment; 3. Target detection box does not match the lesion; 4. Missing CT plain scan or arterial phase or portal venous phase images; 5. CT images and enhanced images do not match.

Design outcomes

Primary

MeasureTime frame
Structural Similarity Index, SSIM;Diagnostic accuracy based on Generate enhanced image ;Area Under the Curve, AUC;Diagnosis Sensitivity Based on Generated Images;Based on the specificity of generated image diagnosis;

Countries

China

Contacts

Public ContactWei Yi

West China Hospital, Sichuan University

drweiyi057@163.com+86 180 8060 9568

Outcome results

None listed

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