Liver fibrosis
Conditions
Interventions
Gold Standard:Ultrasound-guided percutaneous liver biopsy and its pathological evaluation.
Index test:Intelligent fusion model based on deep learning, whose input is multimodal data and output is liver fibrosis stage.
Sponsors
The Seventh Affiliated Hospital Sun Yat-sen University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1.Adult patients aged 18 or above. 2. Due to the clinical diagnosis and treatment needs of chronic liver diseases, based on the judgment of the patient's attending physician, it has been independently decided and planned to undergo percutaneous liver biopsy, and a clear pathological stage report of liver fibrosis (F0-F4) can be obtained. 3. Before and after liver biopsy (usually within 3 months), the full set of multimodal ultrasound examinations required for the project was completed in our institution, including: two-dimensional gray-scale ultrasound of the liver (static images and dynamic videos), shear wave elastography, attenuation imaging, viscoelastic imaging, and color Doppler ultrasound of the splenic vein. 4. During the same period, it has complete records of clinical laboratory test indicators, including but not limited to: AST, ALT, platelet count, etc., which can be used to calculate the FIB-4 index.
Exclusion criteria
Exclusion criteria: 1. Insufficient length of liver biopsy tissue specimens or poor quality of pathological reports make it impossible to conduct reliable liver fibrosis staging. 2. There are factors that seriously affect the quality of ultrasound images, such as severe obesity and intestinal gas interference, which make it impossible to obtain or measure key parameters (such as elasticity value, attenuation coefficient, viscoelasticity value) reliably. 3. Combined with other types of liver space-occupying lesions (such as liver cancer, huge hemangioma) or extrahepatic biliary obstruction. 4. Has undergone liver surgery or interventional treatment (such as liver lobectomy, TACE). 5. There is a serious lack of clinical data, making it impossible to complete data matching and integration.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic Accuracy Assessment; | — |
Secondary
| Measure | Time frame |
|---|---|
| Analysis of Variability in Diagnostic Accuracy (Subgroup Analysis); | — |
Countries
China
Contacts
Public ContactZuofeng Xu
The Seventh Affiliated Hospital of Sun Yat-sen University
Outcome results
None listed