Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Magn Reson Med. 2022 Mar;87(3):1184-1206. doi: 10.1002/mrm.29084. Epub 2021 Nov 26.
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM) Quantitative MR Study Group, this article provides an overview of considerations for the development, validation, qualification, and dissemination of quantitative MR (qMR) methods. This process is framed in terms of two central technical performance properties, i.e., bias and precision. Although qMR is confounded by undesired effects, methods with low bias and high precision can be iteratively developed and validated. For illustration, two distinct qMR methods are discussed throughout the manuscript: quantification of liver proton-density fat fraction, and cardiac T . These examples demonstrate the expansion of qMR methods from research centers toward widespread clinical dissemination. The overall goal of this article is to provide trainees, researchers, and clinicians with essential guidelines for the development and validation of qMR methods, as well as an understanding of necessary steps and potential pitfalls for the dissemination of quantitative MR in research and in the clinic.
本文代表国际磁共振医学学会(ISMRM)定量磁共振研究组,概述了定量磁共振(qMR)方法的开发、验证、鉴定和传播的注意事项。该过程从两个核心技术性能属性来构建,即偏差和精度。尽管 qMR 受到不良影响的困扰,但具有低偏差和高精度的方法可以进行迭代开发和验证。为了说明这一点,本文贯穿始终讨论了两种不同的 qMR 方法:肝脏质子密度脂肪分数的定量和心脏 T1 值的定量。这些示例展示了 qMR 方法从研究中心扩展到广泛的临床应用。本文的总体目标是为研究人员、临床医生和培训师提供开发和验证 qMR 方法的基本指南,以及了解在研究和临床中传播定量磁共振的必要步骤和潜在陷阱。