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

StatusUnknown
PhaseNot specified
Started2024-09-01
View on ClinicalTrials.gov ↗
Record status
This record was last updated August 6, 2024 (before its estimated August 31, 2025 completion). Its status may not reflect the trial's current state.

Amendment history

2026-09-06
Trial status changed: Not Yet Recruiting → Unknown
2024-08-04
Study Identification, Study Status, Sponsor/Collaborators, Eligibility, Contacts/Locations v1
Trial statusNot Yet Recruiting→Unknown
Study title-25 characters
Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia inAssessed Assessment With the Technology ofby Deep Learning
2024-07-28
Original filing
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.
Trial Details
NCT Number NCT06531200
Lead Sponsor Peking University People's Hospital
Conditions Cirrhosis, Liver, Sarcopenia
Enrollment 1,000 participants
Start Date 2024-09-01
Primary Completion 2025-08-31 (estimated)
Study Completion 2025-12-31 (estimated)
Updated on ClinicalTrials.gov 2024-08-06