Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Department of Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
J Magn Reson Imaging. 2022 Feb;55(2):323-335. doi: 10.1002/jmri.27419. Epub 2020 Nov 2.
Phase-contrast (PC) MRI is a feasible and valid noninvasive technique to measure renal artery blood flow, showing potential to support diagnosis and monitoring of renal diseases. However, the variability in measured renal blood flow values across studies is large, most likely due to differences in PC-MRI acquisition and processing. Standardized acquisition and processing protocols are therefore needed to minimize this variability and maximize the potential of renal PC-MRI as a clinically useful tool.
To build technical recommendations for the acquisition, processing, and analysis of renal 2D PC-MRI data in human subjects to promote standardization of renal blood flow measurements and facilitate the comparability of results across scanners and in multicenter clinical studies.
Systematic consensus process using a modified Delphi method.
Not applicable.
SEQUENCE FIELD/STRENGTH: Renal fast gradient echo-based 2D PC-MRI.
An international panel of 27 experts from Europe, the USA, Australia, and Japan with 6 (interquartile range 4-10) years of experience in 2D PC-MRI formulated consensus statements on renal 2D PC-MRI in two rounds of surveys. Starting from a recently published systematic review article, literature-based and data-driven statements regarding patient preparation, hardware, acquisition protocol, analysis steps, and data reporting were formulated.
Consensus was defined as ≥75% unanimity in response, and a clear preference was defined as 60-74% agreement among the experts.
Among 60 statements, 57 (95%) achieved consensus after the second-round survey, while the remaining three showed a clear preference. Consensus statements resulted in specific recommendations for subject preparation, 2D renal PC-MRI data acquisition, processing, and reporting.
These recommendations might promote a widespread adoption of renal PC-MRI, and may help foster the set-up of multicenter studies aimed at defining reference values and building larger and more definitive evidence, and will facilitate clinical translation of PC-MRI.
1 TECHNICAL EFFICACY STAGE: 1.
相位对比（PC）MRI 是一种可行且有效的无创技术，可用于测量肾动脉血流，具有支持肾脏疾病诊断和监测的潜力。然而，研究之间测量的肾血流值的变异性很大，这很可能是由于 PC-MRI 采集和处理的差异所致。因此，需要标准化的采集和处理协议，以最大限度地减少这种变异性，并最大限度地发挥肾 PC-MRI 作为一种临床有用工具的潜力。
制定人体二维 PC-MRI 数据采集、处理和分析的技术建议，以促进肾血流测量的标准化，并促进不同扫描仪和多中心临床研究结果的可比性。
使用改良 Delphi 方法的系统共识过程。
不适用。
序列字段/强度：基于快速梯度回波的肾二维 PC-MRI。
来自欧洲、美国、澳大利亚和日本的 27 名专家组成了一个国际小组，他们在二维 PC-MRI 方面有 6 年（四分位距 4-10 年）的经验，在两轮调查中就肾二维 PC-MRI 达成了共识声明。从最近发表的一篇系统评价文章出发，根据文献和数据制定了关于患者准备、硬件、采集方案、分析步骤和数据报告的基于文献和基于数据的声明。
共识定义为响应中≥75%的一致，而专家之间 60-74%的明确偏好定义为明确偏好。
在 60 项声明中，第二轮调查后有 57 项（95%）达成共识，其余 3 项则表现出明确偏好。共识声明导致了针对受试者准备、二维肾 PC-MRI 数据采集、处理和报告的具体建议。
这些建议可能会促进肾 PC-MRI 的广泛采用，并有助于建立更大、更明确的参考值证据，促进 PC-MRI 的临床转化。
1 技术功效阶段：1。
