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NOT YET RECRUITING
NCT06531200

Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia Assessed by Deep Learning

Sponsor: Peking University People's Hospital

View on ClinicalTrials.gov

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