NCT03981848

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 200 (estimated)
• Sponsor: Zhejiang University · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Not accepted

Summary

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

Detailed 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.

Conditions

• Hepatocellular Carcinoma
• Liver Transplantation
• Magnetic Resonance Imaging

Interventions

Type	Name	Description
OTHER	Risk model of tumor relapse	High risk factor model of tumor relapse after liver transplantation

Timeline

• Start date: 2019-07-01
• Primary completion: 2021-07-01
• Completion: 2021-12-01
• First posted: 2019-06-11
• Last updated: 2019-06-11