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Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia Assessed by Deep Learning
Sponsor: Peking University People's Hospital
Summary
The goal of this observational study is to develop and validate a fully automated imaging deep learning platform for the evaluation of sarcopenia in liver cirrhosis. Based on this model, a new prognostic model for liver cirrhosis incorporating imaging biomarkers such as sarcopenia will be constructed, and its predictive performance will be validated.
Official title: Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2024-09-01
Completion Date
2025-12-31
Last Updated
2024-08-06
Healthy Volunteers
No