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

June 10, 2019 updated by: Xiao Xu, Zhejiang University
The purpose of this study is to establish a non-invasive radiomics method to filter high recurrent-risk liver transplantation recipient population

Study Overview

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.

Study Type

Observational

Enrollment (Anticipated)

200

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

hospitalization patients

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Relapse
Relapse of tumor within two years after liver transplantation
High risk factor model of tumor relapse after liver transplantation
Other Names:
  • Risk model
Non-relapse
Non-relapse of tumor within two years after liver transplantation
High risk factor model of tumor relapse after liver transplantation
Other Names:
  • Risk model

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
tumor recurrent status
Time Frame: two years
two years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

July 1, 2019

Primary Completion (Anticipated)

July 1, 2021

Study Completion (Anticipated)

December 1, 2021

Study Registration Dates

First Submitted

June 10, 2019

First Submitted That Met QC Criteria

June 10, 2019

First Posted (Actual)

June 11, 2019

Study Record Updates

Last Update Posted (Actual)

June 11, 2019

Last Update Submitted That Met QC Criteria

June 10, 2019

Last Verified

June 1, 2019

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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