Statistical considerations for repeatability and reproducibility of quantitative imaging biomarkers

Area of Science:

• Medical Imaging
• Biostatistics
• Clinical Trials

Background:

• Quantitative imaging biomarkers (QIBs) are vital in clinical research.
• Complex QIB measurement processes introduce significant variability.
• Reliability, encompassing repeatability and reproducibility, is key for QIB translation.

Purpose of the Study:

• To review statistical methods for assessing QIB measurement reliability.
• To introduce metrics for evaluating QIB repeatability and reproducibility.
• To illustrate the impact of measurement error on study design and predictive performance.

Main Methods:

• Statistical analysis of QIB measurement variability.
• Review of established and novel metrics for reliability assessment.
• Simulation studies demonstrating the impact of error on sample size, power, and predictive models.

Main Results:

• Identified key statistical approaches for quantifying QIB reliability.
• Demonstrated how variability affects statistical power and required sample sizes.
• Highlighted the influence of measurement error on the predictive accuracy of QIBs.

Conclusions:

• Robust statistical evaluation of QIB repeatability and reproducibility is essential.
• Understanding and mitigating measurement error is critical for successful QIB implementation.
• Accurate QIBs enhance the validity of clinical trials and predictive biomarker applications.