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

Hepatocellular Carcinoma Clinical Trial

Official title:

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

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT03981848
• Other study ID #: 2019ZJUXX-001
• Status: Not yet recruiting
• Start date: July 2019
• Est. completion date: December 2021

Study information

• Verified date: June 2019
• Source: Zhejiang University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 200
• Est. completion date: December 2021
• Est. primary completion date: July 2021
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 70 Years

Eligibility

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

Related Conditions & MeSH terms

• Carcinoma, Hepatocellular
• Hepatocellular Carcinoma
• Liver Transplantation
• Magnetic Resonance Imaging

Intervention

Other:
• Risk model of tumor relapse
High risk factor model of tumor relapse after liver transplantation

Locations

Country	Name	City	State
n/a

Sponsors (2)

Lead Sponsor	Collaborator
Zhejiang University	Fudan University

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	tumor recurrent status		two years