lv sphericity index | sphericity index

2024-11-22T07:12:43 | By , DOD blog

lv sphericity index | sphericity index lv sphericity index Introduction: We assessed the hypothesis that markers of LV wall stress, such as LV sphericity index (SI), may predict appropriate therapy for ventricular arrhythmias (VA) in . 136k mi

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1 · sphericity index vs lvsi
2 · sphericity index icd
3 · sphericity index echo
4 · sphericity index diagnosis
5 · sphericity index
6 · lvsi vs pdi
7 · left ventricular tachyarrhythmia

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Adverse left ventricular remodeling is a significant cardiovascular predictor for patients with coronary artery disease and preserved left ventricular ejection fraction (LVEF). However, the remodeling indexes reflecting left ventricular spherization by myocardial .Left ventricular sphericity index (LVSI) is a simple, quick and reproducible measure to evaluate LV geometric changes. The aim of our study was to evaluate the utility of LVSI as a rapid .It is defined by the presence of left ventricular dilatation and left ventricular systolic dysfunction in the absence of abnormal loading conditions (hypertension and valve disease) or coronary .

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. two indices were evaluated as sphericity index and 'new' apical area index. The sphericity index was de- scribed as the LV long-axis length divided by the mid LV diameter at end. Introduction: We assessed the hypothesis that markers of LV wall stress, such as LV sphericity index (SI), may predict appropriate therapy for ventricular arrhythmias (VA) in . Cardiac MRI was analyzed to calculate a sphericity dimension index defined as LV diameter divided by maximum LV length. A sphericity volume index was also calculated from . In multivariable analysis, increased LV sphericity index was the strongest independent predictor of appropriate ICD therapy (hazard ratio [HR]; 1.09; 95% confidence .

In addition, we investigated whether the echocardiographic parameters LV sphericity index (LVSI) and the novel pressure-dimension index (PDI) can predict post .

We measured the left ventricle (LV) sphericity index (short axis length/long axis length) using deep learning-enabled image segmentation of cardiac magnetic resonance . The sphericity index, addresses global chamber changes, since this index uses a single plane to analyze the ratio of the short to long axis, and compares the volume of the . Adverse left ventricular remodeling is a significant cardiovascular predictor for patients with coronary artery disease and preserved left ventricular ejection fraction (LVEF). However, the remodeling indexes reflecting left ventricular spherization by myocardial perfusion imaging are underexplored.

Left ventricular sphericity index (LVSI) is a simple, quick and reproducible measure to evaluate LV geometric changes. The aim of our study was to evaluate the utility of LVSI as a rapid discrimination tool in two disease processes; Takotsubo’s Syndrome (TS) and Anterior Myocardial Infarction (AMI), in the absence of significant left .It is defined by the presence of left ventricular dilatation and left ventricular systolic dysfunction in the absence of abnormal loading conditions (hypertension and valve disease) or coronary artery disease sufficient to cause global systolic impairment.. two indices were evaluated as sphericity index and 'new' apical area index. The sphericity index was de- scribed as the LV long-axis length divided by the mid LV diameter at end. Introduction: We assessed the hypothesis that markers of LV wall stress, such as LV sphericity index (SI), may predict appropriate therapy for ventricular arrhythmias (VA) in patients with primary prevention defibrillators, independent of LV ejection fraction.

Cardiac MRI was analyzed to calculate a sphericity dimension index defined as LV diameter divided by maximum LV length. A sphericity volume index was also calculated from the LV volume. LV sphericity was divided into quintiles.

In multivariable analysis, increased LV sphericity index was the strongest independent predictor of appropriate ICD therapy (hazard ratio [HR]; 1.09; 95% confidence interval [CI] 1.02 to 1.16, p = 0.007). In addition, we investigated whether the echocardiographic parameters LV sphericity index (LVSI) and the novel pressure-dimension index (PDI) can predict post-operative right ventricular failure (RVF). We measured the left ventricle (LV) sphericity index (short axis length/long axis length) using deep learning-enabled image segmentation of cardiac magnetic resonance imaging data from the UK Biobank.

The sphericity index, addresses global chamber changes, since this index uses a single plane to analyze the ratio of the short to long axis, and compares the volume of the ventricle and the volume of the theoretical sphere (defined by using the measured long axis as the diameter of the sphere).

Adverse left ventricular remodeling is a significant cardiovascular predictor for patients with coronary artery disease and preserved left ventricular ejection fraction (LVEF). However, the remodeling indexes reflecting left ventricular spherization by myocardial perfusion imaging are underexplored.Left ventricular sphericity index (LVSI) is a simple, quick and reproducible measure to evaluate LV geometric changes. The aim of our study was to evaluate the utility of LVSI as a rapid discrimination tool in two disease processes; Takotsubo’s Syndrome (TS) and Anterior Myocardial Infarction (AMI), in the absence of significant left .

It is defined by the presence of left ventricular dilatation and left ventricular systolic dysfunction in the absence of abnormal loading conditions (hypertension and valve disease) or coronary artery disease sufficient to cause global systolic impairment.. two indices were evaluated as sphericity index and 'new' apical area index. The sphericity index was de- scribed as the LV long-axis length divided by the mid LV diameter at end. Introduction: We assessed the hypothesis that markers of LV wall stress, such as LV sphericity index (SI), may predict appropriate therapy for ventricular arrhythmias (VA) in patients with primary prevention defibrillators, independent of LV ejection fraction. Cardiac MRI was analyzed to calculate a sphericity dimension index defined as LV diameter divided by maximum LV length. A sphericity volume index was also calculated from the LV volume. LV sphericity was divided into quintiles.

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