Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment Journal Article

Authors: Raunig, D. L.; McShane, L. M.; Pennello, G.; Gatsonis, C.; Carson, P. L.; Voyvodic, J. T.; Wahl, R. L.; Kurland, B. F.; Schwarz, A. J.; Gönen, M.; Zahlmann, G.; Kondratovich, M. V.; O'Donnell, K.; Petrick, N.; Cole, P. E.; Garra, B.; Sullivan, D. C.
Article Title: Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment
Abstract: Technological developments and greater rigor in the quantitative measurement of biological features in medical images have given rise to an increased interest in using quantitative imaging biomarkers to measure changes in these features. Critical to the performance of a quantitative imaging biomarker in preclinical or clinical settings are three primary metrology areas of interest: measurement linearity and bias, repeatability, and the ability to consistently reproduce equivalent results when conditions change, as would be expected in any clinical trial. Unfortunately, performance studies to date differ greatly in designs, analysis method, and metrics used to assess a quantitative imaging biomarker for clinical use. It is therefore difficult or not possible to integrate results from different studies or to use reported results to design studies. The Radiological Society of North America and the Quantitative Imaging Biomarker Alliance with technical, radiological, and statistical experts developed a set of technical performance analysis methods, metrics, and study designs that provide terminology, metrics, and methods consistent with widely accepted metrological standards. This document provides a consistent framework for the conduct and evaluation of quantitative imaging biomarker performance studies so that results from multiple studies can be compared, contrasted, or combined. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.
Keywords: review; reproducibility; biological marker; diagnostic imaging; correlation coefficient; statistical analysis; probability; quantitative imaging; reliability; statistical model; sample size; reference value; bias; agreement; study design; repeatability; precision; quantitative diagnosis; human; imaging biomarkers; linearity; measurement repeatability; metric system
Journal Title: Statistical Methods in Medical Research
Volume: 24
Issue: 1
ISSN: 0962-2802
Publisher: Sage Publications  
Date Published: 2015-02-01
Start Page: 27
End Page: 67
Language: English
DOI: 10.1177/0962280214537344
PROVIDER: scopus
PUBMED: 24919831
PMCID: PMC5574197
Notes: Review -- Export Date: 3 October 2016 -- Source: Scopus
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  1. Mithat Gonen
    716 Gonen