Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia; Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
JACC Cardiovasc Imaging. 2018 Feb;11(2 Pt 1):196-205. doi: 10.1016/j.jcmg.2016.12.025. Epub 2017 May 17.
The aim of this study was to perform a systematic review and meta-analysis to estimate the normal ranges of magnetic resonance imaging (MRI)-based feature tracking (FT) and to identify sources of variations. Similar analyses were also performed for strain encoding, displacement encoding with stimulated echoes, and myocardial tagging.
MRI-FT is a novel technique for quantification of myocardial deformation using MRI cine images. However, the reported 95% confidence intervals (CIs) from the 2 largest studies have no overlaps.
Four databases (EMBASE, SCOPUS, PUBMED, and Web of Science) were systematically searched for MRI strains of the left (LV) and right (RV) ventricles. The key terms for MRI-FT were "tissue tracking," "feature tracking," "cardiac magnetic resonance," "cardiac MRI," "CMR," and "strain." A random effects model was used to pool LV global longitudinal strain (GLS), global circumferential strain (GCS), global radial strain (GRS), and RVGLS. Meta-regressions were used to identify the sources of variations.
659 healthy subjects were included from 18 papers for MRI-FT. Pooled mean of LVGLS was -20.1% (95% CI: -20.9% to -19.3%), LVGCS -23% (95% CI: -24.3% to -21.7%), LVGRS 34.1% (95% CI: 28.5% to 39.7%), and RVGLS -21.8% (95% CI: -23.3% to -20.2%). Although there were no publication biases except for LVGCS, significant heterogeneities were found. Meta-regression showed that variation of LVGCS was associated with field strength (β = 3.2; p = 0.041). Variations of LVGLS, LVGRS, and RVGLS were not associated with any of age, sex, software, field strength, sequence, LV ejection fraction, or LV size. LVGCS seems the most robust in MRI-FT. Among the MRI-derived strain techniques, the normal ranges were mostly concordant in LVGLS and LVGCS but varied substantially in LVGRS and RVGLS.
The pooled means of 4 MRI-derived myocardial strain methods in normal subjects are demonstrated. Differences in field strength were attributed to variations of LVGCS.
本研究旨在进行系统评价和荟萃分析,以估计磁共振成像(MRI)基础特征跟踪(FT)的正常范围,并确定变异的来源。相似的分析也应用于应变编码、刺激回波的位移编码和心肌标记。
MRI-FT 是一种使用 MRI 电影图像定量心肌变形的新技术。然而,来自 2 项最大研究的报告 95%置信区间(CI)没有重叠。
系统检索了 4 个数据库(EMBASE、SCOPUS、PUBMED 和 Web of Science)中的左心室(LV)和右心室(RV)MRI 应变的相关研究。MRI-FT 的关键术语为“组织追踪”、“特征追踪”、“心脏磁共振”、“心脏 MRI”、“CMR”和“应变”。使用随机效应模型对 LV 整体纵向应变(GLS)、整体圆周应变(GCS)、整体径向应变(GRS)和 RVGLS 进行了汇总。采用元回归分析确定变异的来源。
18 篇论文共纳入 659 名健康受试者进行 MRI-FT。LVGLS 的汇总平均值为-20.1%(95%CI:-20.9%至-19.3%),LVGCS-23%(95%CI:-24.3%至-21.7%),LVGRS 34.1%(95%CI:28.5%至 39.7%),RVGLS-21.8%(95%CI:-23.3%至-20.2%)。尽管除了 LVGCS 之外,没有发现发表偏倚,但存在显著的异质性。元回归显示,LVGCS 的变化与场强有关(β=3.2;p=0.041)。LVGLS、LVGRS 和 RVGLS 的变化与年龄、性别、软件、场强、序列、LV 射血分数或 LV 大小无关。LVGCS 在 MRI-FT 中似乎最为稳健。在 MRI 衍生应变技术中,LVGLS 和 LVGCS 的正常范围大多一致,但 LVGRS 和 RVGLS 的正常范围差异较大。
本研究展示了 4 种 MRI 衍生心肌应变方法在正常受试者中的汇总平均值。场强的差异归因于 LVGCS 的变化。