Radiomics-based Non-invasive Classifier Research for HCC-related Liver Transplantation

Zhejiang University

Status

Unknown

Conditions

Liver Transplantation

Hepatocellular Carcinoma

Magnetic Resonance Imaging

Treatments

Other: Risk model of tumor relapse

Study type

Observational

Funder types

Other

Identifiers

NCT03981848

2019ZJUXX-001

Details and patient eligibility

About

The purpose of this study is to establish a non-invasive radiomics method to filter high recurrent-risk liver transplantation recipient population

Full description

Hepatocellular carcinoma is one of the most common malignant tumors in the world with high incidence and mortality. Liver transplantation is the most effective treatment for HCC and is in high demand in China. However, recurrence of HCC among liver transplantation recipients is still a great challenge and threat to the survival of recipients. So it is of great significance to establish a non-invasive way to filter high liver transplantation recipient population before transplantation. Based on large scales of pre-treatment MR images, the investigator's study aims to establish a non-invasive radiomics method to filter high recurrent-risk liver transplantation recipient population. This study will contribute to the precise selection of HCC-related liver transplantation recipients.

Enrollment

200 estimated patients

Sex

All

Ages

18 to 70 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

All patients had postoperative pathological diagnosis of HCC
All patients had underwent contrast-enhanced MRI scan within 2 weeks before liver transplantation

Exclusion criteria

patients whose pathological diagnosis is not HCC
patients whose CT images were affected by strong imaging artifacts, i.e. artifacts obscuring more than 10% of whole volume of interest
patients whose clinical data or CT images were missing