Left Atrial and Ventricular Strain Differentiates Cardiac Amyloidosis and Hypertensive Heart Disease: A Cardiac MR Feature Tracking Study

Zhang, Xinna; Zhao, Ren; Deng, Wei; Li, Yuguo; An, Shutian; Qian, Yinfeng; Liu, Bin; Yu, Yongqiang; Li, Xiaohu

doi:10.1016/j.acra.2023.02.003

Cited by 6 publications

(1 citation statement)

References 40 publications

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“…Similar results were obtained by Zhang et al . [ 57 ]: they included a total of 25 CA patients, 30 sex and age-matched hypertensive patients, 20 sane subjects, and studied LAS and LVS. Booster LAS, reservoir LAS, left atrial strain rate (LASR) were all impaired in CA if compared to healthy group ( p

0.001) [ 57 ].…”

Section: Cardiac Magnetic Resonance Imagingmentioning

confidence: 99%

Current Perspectives on Atrial Amyloidosis: A Narrative Review

Tana,

Guglielmi

et al. 2024

Rev. Cardiovasc. Med.

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Amyloidosis is a systemic disease caused by low molecular weight protein accumulation in the extracellular space, which can lead to different degrees of damage, depending of the organ or tissue involved. The condition is defined cardiac amyloidosis (CA) when heart is affected, and it is associated with an unfavorable outcome. Different types of CA have been recognized, the most common (98%) are those associated with deposition of light chain (AL-CA), and the form secondary to transthyretin deposit. The latter can be classified into two types, a wild type (transthyretin amyloidosis wild type (ATTRwt)-CA), which mainly affects older adults, and the hereditary or variant type (ATTRh-CA or ATTRv-CA), which instead affects more often young people and is associated with genetic alterations. The atrial involvement can be isolated or linked to CA with a nonspecific clinical presentation represented by new onset atrial fibrillation (AF), diastolic dysfunction and heart failure with preserved ejection fraction, or thromboembolism and stroke. Untreated patients have a median survival rate of 9 years for AL-CA and 7 years for ATTR-CA. By contrast, AL-CA and ATTR-CA treated patients have a median survival rate of 24 and 10 years, respectively. Atrial involvement in CA is a common but poor studied event, and alterations of performance can anticipate the anatomical damage. Recently, numerous advances have been made in the diagnostic field with improvements in the available techniques. An early diagnosis therefore allows a more effective therapeutic strategy with a positive impact on prognosis and mortality rate. A multimodality approach to the diagnosis of atrial involvement from CA is therefore recommended, and standard echocardiography, advanced Doppler-echocardiography (DE) and cardiac magnetic resonance (CMR) can be useful to detect early signs of CA and to estabilish an appropriate treatment.

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0.001) [ 57 ].…”

Section: Cardiac Magnetic Resonance Imagingmentioning

confidence: 99%

Current Perspectives on Atrial Amyloidosis: A Narrative Review

Tana,

Guglielmi

et al. 2024

Rev. Cardiovasc. Med.

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

Cai,

Zhao,

Gao

et al. 2024

Magnetic Resonance Imaging

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BackgroundA consensus on normal atrial deformation measurements by feature‐tracking cardiac MRI remained absent.PurposeProvide reference ranges for atrial strain parameters in normal subjects, evaluating the influence of field strength and analysis software on the measurements.Study TypeMeta‐analysis.Population2708 subjects from 42 studies undergoing cardiac MRI.AssessmentA 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 TestsThe inverse‐variance method, Cochrane Q statistic, and I2 value, meta‐regression analysis, and ANOVA were used; P < 0.05 was considered statistically significant.ResultsThe 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 ConclusionThis 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 Evidence1.Technical EfficacyStage 5.

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Application of left atrial strain derived from cardiac magnetic resonance feature tracking to predict cardiovascular disease: A comprehensive review

Zhao,

Song,

2024

Heliyon

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Left Atrial and Ventricular Strain Differentiates Cardiac Amyloidosis and Hypertensive Heart Disease: A Cardiac MR Feature Tracking Study

Cited by 6 publications

References 40 publications

Current Perspectives on Atrial Amyloidosis: A Narrative Review

Current Perspectives on Atrial Amyloidosis: A Narrative Review

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

Application of left atrial strain derived from cardiac magnetic resonance feature tracking to predict cardiovascular disease: A comprehensive review

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