Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia Assessed by Deep Lear… (NCT06531200) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia Assessed by Deep Learning
1,000 participantsStarted 2024-09-01
Plain-language 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.
Who can participate
Age range18 Years
SexALL
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Inclusion Criteria:
* Age ≥18 years
* Diagnosis of liver cirrhosis, meeting at least one of the following criteria:
* Clinical diagnosis: ICD-10-CM codes K74.100 and K74.607 from our hospital's electronic medical record system
* Liver biopsy pathology or a combination of clinical, laboratory, and imaging examinations confirming liver cirrhosis: Pathological biopsy criteria: fibrosis bridging between lobules leading to lobular structural disarray, nodular regeneration of hepatocytes, formation of pseudo-lobules
* Laboratory tests: the presence of at least 2 of the following 4 abnormal indicators suggesting liver cirrhosis:
* a) Platelet count \< 100×10\^9/L, with no other explainable cause;
* b) Serum albumin \< 35g/L, excluding malnutrition or kidney disease as other causes;
* c) International normalized ratio (INR) \> 1.3 or prolonged prothrombin time (PT) (after discontinuation of thrombolytic or anticoagulant drugs for more than 7 days);
* d)Aspartate aminotransferase to platelet ratio index (APRI) \> 2.
* Availability of high-quality L3-level CT images
Exclusion Criteria:
* Incomplete sociodemographic, laboratory, or imaging data
* Diagnosed or highly suspected malignancy
* Severe chronic kidney disease, respiratory insufficiency, cardiovascular diseases, etc.
* Neurological diseases and muscular degenerative diseases
* Hyperthyroidism, hypothyroidism, tuberculosis, or any other diseases that may affect basal metabolism
* Diseases or conditions causing malabsorption of…