Risk Scores for Stratifying Hepatocellular Carcinoma and Optimizing Surveillance Strategies

Area of Science:

• Hepatology
• Oncology
• Medical Informatics

Background:

• Hepatocellular carcinoma (HCC) presents a significant global health challenge.
• Late-stage diagnosis and inadequate surveillance tools contribute to poor patient outcomes.
• Current screening methods like ultrasound and alpha fetoprotein (AFP) lack sufficient sensitivity for early detection.

Purpose of the Study:

• To review and summarize hepatocellular carcinoma (HCC) risk scores.
• To focus on risk scores utilizing readily available demographic, clinical, or molecular data for routine care.
• To identify reliable risk stratification tools for the HCC at-risk population.

Main Methods:

• Systematic review of proposed HCC risk scores.
• Evaluation of risk score discrimination performance.
• Assessment of data requirements for each risk score, prioritizing those with accessible information.

Main Results:

• Several HCC risk scores demonstrate reliable discrimination capabilities.
• Validated risk scores can be implemented using routinely collected patient data.
• These scores facilitate better identification of individuals requiring enhanced surveillance.

Conclusions:

• Advancements in HCC risk scores enable personalized surveillance strategies.
• Improved risk stratification can enhance early detection rates for hepatocellular carcinoma.
• Utilizing accessible risk scores has the potential to improve outcomes for at-risk populations.