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Related Concept Videos

Hazard Ratio01:12

Hazard Ratio

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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Relative Risk01:12

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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Receiver Operating Characteristic Plot01:15

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
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Related Experiment Video

Updated: Feb 16, 2026

A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
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HCC Risk Scores: Useful or Not?

Morris Sherman1

  • 1Department of Medicine, University Health Network, Toronto, Ontario, Canada.

Seminars in Liver Disease
|December 23, 2017
PubMed
Summary

New risk scores help identify individuals needing hepatocellular carcinoma (HCC) surveillance, improving resource allocation. While useful, their long-term performance and correlation with HCC risk require further assessment.

Area of Science:

  • Hepatology
  • Oncology
  • Medical Diagnostics

Background:

  • Hepatocellular carcinoma (HCC) surveillance is crucial but resource-intensive.
  • Current surveillance strategies often include broad populations (e.g., all hepatitis B or cirrhosis patients) leading to overuse.
  • Refining risk assessment is necessary to optimize surveillance for hepatocellular carcinoma.

Purpose of the Study:

  • To evaluate the utility of various risk-scoring models for hepatocellular carcinoma (HCC).
  • To determine the effectiveness of new models in identifying individuals at high risk for HCC.
  • To assess the generalizability and validation of existing HCC risk prediction tools.

Main Methods:

  • Review and analysis of existing risk stratification models for HCC.

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  • Comparison of different models developed for specific conditions (hepatitis B, hepatitis C, cirrhosis) and the general population.
  • Assessment of model generalizability and external validation status.
  • Main Results:

    • Multiple risk-scoring models have been developed for diverse patient groups, including those with hepatitis B, hepatitis C, and cirrhosis.
    • Some models demonstrate better risk identification than broad screening criteria.
    • Many models lack external validation, and few specify the threshold for initiating surveillance.

    Conclusions:

    • Risk-scoring models offer improved guidance for hepatocellular carcinoma (HCC) surveillance, helping to exclude low-risk individuals.
    • Further research is needed to assess the long-term performance and correlation of risk scores with actual HCC development.
    • Enhanced validation and standardization of HCC risk assessment tools are essential for clinical practice.