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Non-invasive evaluation of portal pressure based on deep convolutional neural network-assisted biofluid mechanics

Non-invasive evaluation of portal pressure based on deep convolutional neural network-assisted biofluid mechanics

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000035726
Enrollment
Unknown
Registered
2020-08-16
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-08-31

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

Conditions

Liver Cirrhosis and Portal Hypertension

Interventions

Gold Standard:Hepatic Venous Pressure Gradient, HVPG
Index test:Non-invasive&#32
Hepatic&#32
Venous&#32
Pressure&#32
Gradient,&#32
Non-invasive&#32
HVPG

Sponsors

Shanghai Ninth People's Hospital affiliated to Shanghai Jiao Tong University, School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1) Patients diagnosed with cirrhotic portal hypertension; 2) HVPG measurement is successful and relevant data is available.

Exclusion criteria

Exclusion criteria: 1) Patients who are pregnant or breastfeeding; 2) Patients with serious abnormalities in coagulation, cardiac function, pulmonary function, or poor general condition; 3) Patients with thrombosis in hepatic vein, portal vein, and mesenteric vein; 4) Patients with hepatic malignancy or decompensated liver function (Child C or MELD > 25); 5) Patients with iodine allergy.

Design outcomes

Primary

MeasureTime frame
HVPG;Non-invasive HVPG;—

Countries

China

Contacts

Public ContactHuo Haizhong

Shanghai Ninth People's Hospital affiliated to Shanghai Jiao Tong University, School of Medicine

fireseah@163.com+86 13917254400

Outcome results

None listed

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