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Normal Values for Atrial Deformation Measured by Feature‐Tracking Cardiac MRI: A Meta‐Analysis

荟萃分析 医学 特征跟踪 内科学 拉伤 线性回归 方差分析 出版偏见 随机效应模型 心脏病学 核医学 统计 数学 人工智能 计算机科学 特征提取
作者
Qiuyi Cai,Zhengkai Zhao,Jin Gao,Jian Liu,Jianlin Li,Xin Peng,Hang Chen
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
标识
DOI:10.1002/jmri.29465
摘要

Background A consensus on normal atrial deformation measurements by feature‐tracking cardiac MRI remained absent. Purpose Provide reference ranges for atrial strain parameters in normal subjects, evaluating the influence of field strength and analysis software on the measurements. Study Type Meta‐analysis. Population 2708 subjects from 42 studies undergoing cardiac MRI. Assessment A systematic search was conducted from database (PubMed, Web of Science, ScienceDirect, and EMBASE) inception through August 2023. The random‐effects model was used to pool the means of biatrial strain parameters. Heterogeneity and clinical variable effects were assessed. Strain measurements among different field strengths and analysis software were compared. Statistical Tests The inverse‐variance method, Cochrane Q statistic, and I 2 value, meta‐regression analysis, and ANOVA were used; P < 0.05 was considered statistically significant. Results The pooled means of left atrial (LA) total strain (εs), passive strain (εe), and active strain (εa) were 37.46%, 22.73%, and 16.24%, respectively, and the pooled means of LA total strain rate (SRs), passive strain rate (SRe), and active strain rate (SRa) were 1.66, −1.95, and −1.83, indicating significant heterogeneity. The pooled means of right atrial (RA) εs, εe, and εa were 44.87%, 26.05%, and 18.83%. RA SRs, SRe, and SRa were 1.66, −1.95, and −1.83, respectively. The meta‐regression identified age as significantly associated with LA εs, εe and SRe, field strength was associated with LA SRa (all P < 0.05). ANOVA revealed differences in LA εa and SRa among different analysis software and in LA εs and all LA strain rates (all P < 0.05) among field strengths. No significant differences were identified in RA strain across analysis software (RA strain: P = 0.145–0.749; RA strain rates: P = 0.073–0.744) and field strengths (RA strain: P = 0.641–0.794; RA strain rates: P = 0.204–0.458). Data Conclusion This study demonstrated the pooled reference values of biatrial strain. Age, analysis software, and field strength were attributed to differences in LA strain, whereas RA strain showed consistency across different field strengths and analysis software. Limited study subjects may account for the absence of influence on RA strain. Level of Evidence 1. Technical Efficacy Stage 5.
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