N/A

JRCT ID: jRCT1070230032

Registered date:27/06/2023

Basic Information

• Recruitment status: Not Recruiting
• Health condition(s) or Problem(s) studied: Hepatocellular Carcinoma
• Date of first enrollment: 08/05/2023
• Target sample size: 200
• Study type: Observational

Outcome(s)

• Primary Outcome: Evaluation of machine learning model for predicting B-catenin mutation from image features

Secondary Outcome

Evaluation of machine learning model for predicting p53 mutation from image features
Evaluation of machine learning model for predicting TERT mutation from image features

Key inclusion & exclusion criteria

• Age minimum: Not applicable
• Age maximum: Not applicable
• Gender: Both

Include criteria

1. Diagnosed as HCC, and undergone surgery without any systemic therapy from April 2019 to April 2023 in Kurume univesity
2. Availabirity of contrast-enhanced CT images within 12 weeks before surgery and tumor tissue storage in Kurume university
3.Acquired informed consent form about use of tumor tissue before surgery in Kurume university

• Exclude criteria: Not applicable participants determined by an investigator

Related Information

• Primary Sponsor: Iwamoto Hideki
• Secondary Sponsor: Eisai Co.,Ltd.