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This study is to establish a noninvasive diagnostic platform based on hemodynamic information for the assessment of liver fibrosis, liver cirrhosis and portal hypertension.
As the hemodynamics of liver vessels depend on the liver tissue mechanics, we hypothesize that the hemodynamics measurements of the liver are strongly correlated with the stages of liver fibrosis and portal hypertension, and can therefore serve as an alternative means of diagnosis. We have developed a physics-based mathematical model that incorporates our biological understanding of fibrosis development. The model quantitatively predicts changes of liver tissue stiffness and blood flow dynamics as a function of fibrosis stage. Preliminary data using ultrasound Doppler images and needle biopsy from liver fibrosis patients have suggested the 'prove of principle. We propose further test our hypothesis by collecting and analyzing ultrasound Doppler and biopsy data to confirm the correlation between blood flow dynamics and disease stage from patients with hepatic fibrosis and portal hypertension. If tested true, we can expect to use features of ultrasound Doppler as a non-invasive means of diagnosis for fibrosis and portal hypertension.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| liver fibrosis | liver biopsy proved |
| |
| portal hypertension | hepatic venous pressure gradient (HVPG) proved |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| hemodynamics tests | Diagnostic Test | Hemodynamics tests for intrahepatic blood flow by colour doppler ultrasound |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity | Diagnostic power of the hemodynamics based noninvasive platform for liver fibrosis or portal hypertension | baseline |
| Specificity | Diagnostic power of the hemodynamics based noninvasive platform for liver fibrosis or portal hypertension | baseline |
| Positive predictive value (PPV) | Diagnostic power of the hemodynamics based noninvasive platform for liver fibrosis or portal hypertension | baseline |
| Negative predictive value (NPV) | Diagnostic power of the hemodynamics based noninvasive platform for liver fibrosis or portal hypertension | baseline |
| Area under ROC curve (AUROC) | Diagnostic power of the hemodynamics based noninvasive platform for liver fibrosis or portal hypertension | baseline |
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Inclusion Criteria:
Exclusion Criteria:
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Inpatients who undergo liver biopsy or hepatic venous pressure gradient test in Zhongshan hospital Fudan University
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shengdi Wu | Contact | 0086-021-64041990 | wu.shengdi@zs-hospital.sh.cn | |
| Wei Jiang | Contact | 0086-021-64041990 | jiang.wei@zs-hospital.sh.cn |
| Name | Affiliation | Role |
|---|---|---|
| Wei Jiang | Fudan University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Zhongshan Hospital affiliated to Fudan University | Recruiting | Shanghai | Shanghai Municipality | 200032 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40896458 | Derived | Zheng L, Shi N, Li P, Ge H, Tu C, Qu Y, Wang Y, Lin Y, Chen S, Sun D, Weng C, Wu S, Jiang W. Development and validation of machine learning models to predict esophagogastric variceal rebleeding risk in HBV-related cirrhosis after endoscopic treatment: a prospective multicenter study. EClinicalMedicine. 2025 Aug 20;87:103436. doi: 10.1016/j.eclinm.2025.103436. eCollection 2025 Sep. |
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| ID | Term |
|---|---|
| D008103 | Liver Cirrhosis |
| D005355 | Fibrosis |
| D006975 | Hypertension, Portal |
| ID | Term |
|---|---|
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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