Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
NCT06140823 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 6000000
Last updated 2026-04-22
Summary
The goal of this prospective observational cohort study is to validate previously developed Hepatocellular Carcinoma (HCC) risk prediction algorithms, the Liver Risk Computation (LIRIC) models, which are based on electronic health records.
The main questions it aims to answer are:
* Will our retrospectively developed general population LIRIC models, developed on routine EHR data, perform similarly when prospectively validated, and reliably and accurately predict HCC in real-time?
* What is the average time from model deployment and risk prediction, to the date of HCC development and what is the stage of HCC at diagnosis?
The risk model will be deployed on data from individuals eligible for the study. Each individual will be assigned a risk score and tracked over time to assess the model's discriminatory performance and calibration.
Conditions
- Predictive Cancer Model
Interventions
- OTHER
-
Liver Risk Computation Model (LIRIC)
A neural network model (LIRIC-NN) and a logistic regression model (LIRIC-LR) that use routinely collected EHR data to stratify individuals into HCC risk groups for the general population
- OTHER
-
Liver Risk Computation Model (LIRIC)_cirrhosis
A neural network model (LIRIC-NN) and a logistic regression model (LIRIC-LR) that use routinely collected EHR data to stratify individuals into HCC risk groups for the population with liver cirrhosis
- OTHER
-
Liver Risk Computation Model (LIRIC)_no_cirrhosis
neural network model (LIRIC-NN) and a logistic regression model (LIRIC-LR) that use routinely collected EHR data to stratify individuals into HCC risk groups for the population without liver cirrhosis
Sponsors & Collaborators
-
Massachusetts Institute of Technology
collaborator OTHER -
TriNetX, LLC
collaborator UNKNOWN -
Beth Israel Deaconess Medical Center
lead OTHER
Eligibility
- Min Age
- 40 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-04-01
- Primary Completion
- 2027-03-31
- Completion
- 2027-03-31
Countries
- United States
Study Locations
More Related Trials
-
Risk of Hepatocellular Carcinoma in Patient With Liver Cirrhosis
NCT03083002 ·Status: UNKNOWN
-
Phenotyping Liver Cancer Registry
NCT04681274 ·Status: COMPLETED
-
Functional Assessment in Liver Transplantation
NCT03870568 ·Status: TERMINATED
-
Boramae Hospital Liver Cirrhosis Patient Cohort Study
NCT01943318 ·Status: COMPLETED
-
Early Detection of Alcoholic Liver Disease
NCT04070508 ·Status: WITHDRAWN
-
Risk Factors and Molecular Genomics of U.S. Patients With Chronic Liver Disease and Hepatocellular Cancer
NCT01034865 ·Status: COMPLETED
-
Liver Diseases: Extracellular Vesicles as Biomarkers
NCT07185360 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
National Liver Cancer Screening Trial
NCT06084234 ·Status: RECRUITING ·Phase: PHASE4
-
Characterization of the Intrahepatic Inflammatory Microenvironment in Patients With Non-alcoholic Steatohepatitis
NCT06152250 ·Status: RECRUITING ·Phase: NA
-
Effect of Remote Ischaemic preConditioning on Liver Injury in Patients Undergoing LIVER Resection Surgery
NCT03594929 ·Status: UNKNOWN ·Phase: NA
-
Identification of Liver Fibrosis Biomarkers
NCT06819917 ·Status: RECRUITING
-
The Sonic Incytes Liver Incytes System, Evaluation of Liver Fibrosis and Steatosis Versus MRE and MRI PDFF
NCT04682600 ·Status: UNKNOWN ·Phase: NA
-
Assessment Of Liver Function in Patients Undergoing Hepatic Irradiation
NCT01519219 ·Status: COMPLETED
-
Impact of Hepatitis C Virus Variability on Steatosis
NCT00843076 ·Status: TERMINATED
-
Early Detection of Advanced Fatty Liver Disease
NCT03608748 ·Status: COMPLETED
-
Examination the Ability to Early Diagnose HCC by Combining Three Biomarkers Technology Developed by WAKO, And Their Relevance to Cirrhotic of Patients With Various Backgrounds and the Israeli Population.
NCT02826005 ·Status: UNKNOWN ·Phase: NA
-
Stratification of Patients With Chronic Liver Disease Using Multi Spectral CT
NCT01825213 ·Status: COMPLETED
-
Gadoxetic Acid-MRI Versus Ultrasonography for the Surveillance of Hepatocellular Carcinoma in High-risk Patients
NCT01446666 ·Status: COMPLETED
-
Biomarkers for the Prognosis of Decompensated Alcoholic Liver Disease
NCT01701687 ·Status: COMPLETED
-
To Study the Effects of Host Genetic Factors on Liver Cirrhosis and Hepatocellular Carcinoma (HCC)
NCT00709085 ·Status: UNKNOWN
-
Detection of Liver Fibrosis With Magnetic Resonance Imaging (MRI)
NCT01600105 ·Status: COMPLETED ·Phase: PHASE4
-
Liver Function Assessment - Feasibility and Dosing Study
NCT02516319 ·Status: TERMINATED ·Phase: NA
-
Comparative Efficacy of Liver Fibrosis and Steatosis Assessment With Fibroscan and iLivTouch
NCT05224037 ·Status: COMPLETED ·Phase: NA
-
Novel MRE Technique to Assess a Risk Factor for Liver Cancer
NCT05165446 ·Status: ACTIVE_NOT_RECRUITING
-
Epidemiologic Study of Hepatocellular Carcinoma in the US
NCT02358070 ·Status: COMPLETED