Liver Nodules
Conditions
Interventions
Case group:This is an observational study without interventions.
Sponsors
Sun Yat-sen University Cancer Center
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Inclusion criteria: 1. Adults aged 18 years or older; 2. Patients with liver nodules detected by imaging or diagnosed with liver cirrhosis; 3. Availability of at least one analyzable liver MR image; 4. Diagnosis of complex liver nodules that are difficult to differentiate on imaging, including high-grade dysplastic nodules (HGDN), well-differentiated hepatocellular carcinoma (WD-HCC), low-grade dysplastic nodules (low-grade DN), focal nodular hyperplasia (FNH), and hepatocellular adenoma.
Exclusion criteria
Exclusion criteria: Exclusion criteria: 1. Liver MR images that do not meet the minimum quality requirements; 2. Patients with isolated cirrhotic nodules without other types of liver nodules or relevant imaging features; 3. Lack of contemporaneous clinical information or medical history close to the imaging time; 4. Presence of other major comorbidities that may interfere with liver disease assessment; 5. History of liver transplantation or major liver surgery; 6. Patients unwilling or unable to comply with follow-up procedures.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy of the AI model in differentiating complex liver nodules.; | — |
Countries
China
Contacts
Public ContactZhongguo Zhou
Sun Yat-sen University Cancer Center
Outcome results
None listed