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应变曲线后处理分析软件:D-Station。

Software for Post-Processing Analysis of Strain Curves: The D-Station.

作者信息

Sousa Rafael Duarte de, Regis Carlos Danilo Miranda, Silva Ittalo Dos Santos, Szewierenko Paulo, Hortegal Renato de Aguiar, Abensur Henry

机构信息

Instituto Federal de Educação, Ciência e Tecnologia da Paraíba,João Pessoa, PB - Brasil.

Instituto Dante Pazzanese de Cardiologia - Consultor Estatístico,São Paulo, SP - Brasil.

出版信息

Arq Bras Cardiol. 2020 May-Jun;114(3):496-506. doi: 10.36660/abc.20180403.

DOI:10.36660/abc.20180403
PMID:32267321
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7792733/
Abstract

BACKGROUND

The use of speckle-tracking echocardiography for evaluation of cardiac function has great applicability in different scenarios. The broad use of this method requires tools that allow the extraction of relevant data from strain curves and inclusion of these data in traditionally used parameters.

OBJECTIVES

The present study aimed to present and validate a free software, called D-station, for analysis of strain curves.

METHODS

From raw data files, the D-Station determines the phases of the cardiac cycle, and simultaneously exhibits the strain and strain rate curves of different cardiac chambers. Validation of the software was done by global longitudinal strain (GLS), and the analyses were performed: 1) graphical comparison of EchoPAC and D-Station paired measurements in relation to equality line; 2) by coefficient of correlation of these measurements; 3) test of hypothesis (p > 0.05); and 4) Bland-Altman analysis.

RESULTS

The Spearman's rho correlation coefficient indicated a strong correlation between the measurements. Results of the test of hypothesis showed a p-value = 0.6798 >> 0.05, thus also indicating an equivalence between the softwares. The Bland-Altman analysis revealed a bias ≤ 1% and dispersion ≤ 2% between the measurements. The tests showed that, for GLS values lower than 10%, there was a trend for higher percentage difference between the values, although the absolute values remained low.

CONCLUSION

The D-Station software was validated as an additional tool to the EchoPAC, which uses the raw data from the strain and strain rate curves exported from a proprietary software. (Arq Bras Cardiol. 2020; 114(3):496-506).

摘要

背景

斑点追踪超声心动图用于评估心脏功能在不同场景中具有很大的适用性。这种方法的广泛应用需要能够从应变曲线中提取相关数据并将这些数据纳入传统使用参数的工具。

目的

本研究旨在展示并验证一款名为D-station的用于分析应变曲线的免费软件。

方法

D-Station从原始数据文件中确定心动周期的各个阶段,并同时展示不同心腔的应变和应变率曲线。通过整体纵向应变(GLS)对该软件进行验证,并进行以下分析:1)EchoPAC和D-Station配对测量值相对于等号线的图形比较;2)这些测量值的相关系数;3)假设检验(p>0.05);4)布兰德-奥特曼分析。

结果

斯皮尔曼相关系数表明测量值之间存在强相关性。假设检验结果显示p值=0.6798>>0.05,因此也表明软件之间具有等效性。布兰德-奥特曼分析显示测量值之间的偏差≤1%,离散度≤2%。测试表明,对于低于10%的GLS值,尽管绝对值仍然较低,但值之间的百分比差异有增大趋势。

结论

D-Station软件被验证为EchoPAC的一种补充工具,EchoPAC使用从专有软件导出的应变和应变率曲线的原始数据。(《巴西心脏病学杂志》。2020年;114(3):496 - 506)

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3
Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities: A Report From the EACVI-ASE Strain Standardization Task Force.
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4
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5
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6
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9
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