The differences in left ventricular torsional behavior between patients with hypertrophic cardiomyopathy and hypertensive heart disease

Saito, Makoto; Okayama, Hideki; Yoshii, Toshitaka; Hiasa, Go; Sumimoto, Takumi; Inaba, Shinji; Nishimura, Kazuhisa; Inoue, Kentaro; Ogimoto, Akiyoshi; Ohtsuka, Tomoaki; Funada, Junichi; Shigematsu, Yuji; Higaki, Jitsuo

doi:10.1016/j.ijcard.2010.04.040

Cited by 35 publications

(42 citation statements)

References 37 publications

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“…In our study, the E/E' ratio was significantly higher in patients with HCM as compared to control group (12.52±5.27 vs. 6.66±1.67, p<0.001) which indicates significantly higher LV filling pressure as a consequence of diastolic dysfunction in HCM patients. The result of our study is comparable with the result of the study carried out by Saito et al, (HCM vs control, 16.2±6.0 vs 9.5±2.4, p<0.0001) [10].…”

Section: Tissue Doppler Indicessupporting

confidence: 92%

“…Similar results were found in the studies carried out by Young et al, (19.9±2.4 vs. 14.6±2.7) and Saito et al, (16.1±7.4 vs. 11.5±4.5) [10,23]. According to the study carried out by Prinz et al, to evaluate the change in torsion in pediatric patients diagnosed with HCM, statistically significant increase in torsion was observed in children with HCM (2.8±1.6) as compared to healthy children (1.9±1.0) [24].…”

Section: Left Ventricular Torsion In Patients With Hcmsupporting

confidence: 92%

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Evaluation of Subtle Left Ventricular Systolic Abnormalities in Adult Patients with Hypertrophic Cardiomyopathy

Shetty

Samanth

Nayak

et al. 2014

JCDR

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Section: Tissue Doppler Indicessupporting

confidence: 92%

Section: Left Ventricular Torsion In Patients With Hcmsupporting

confidence: 92%

Evaluation of Subtle Left Ventricular Systolic Abnormalities in Adult Patients with Hypertrophic Cardiomyopathy

Shetty

Samanth

Nayak

et al. 2014

JCDR

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“…Currently, 2DST is available to detect regional myocardial deformation in various cardiac diseases. [3][4][5][6][7][8][9] Furthermore, the sensitivity of high-frame 2DST in the circumferential direction was recently assessed in rat and mouse models with very thin myocardial thickness, 12,13 and this technique can be used in the clinical setting. Therefore, we applied it to the carotid arterial wall, because this technique enables the measurement of strain in very thin tissue segments with high reproducibility.…”

Section: Discussionmentioning

confidence: 99%

“…However, CS was semi-automatically measured using 2DST software with high reproducibility. [3][4][5][6][7][8][9]12,13 The difference in measurement methods may account for the significantly better reproducibility of e circ compared with b. Second, e circ is a parameter Carotid arterial circumferential strain M Saito et al that directly measures the elasticity of the carotid arterial wall in the circumferential direction, whereas b is an indirect parameter that measures the change of the internal luminal diameter of the artery in the radial direction.…”

Section: Discussionmentioning

confidence: 99%

“…[3][4][5][6][7][8][9] Although this method can be applied to the human carotid arterial wall to directly assess arterial elasticity, it has not been well assessed. Therefore, the aims of this study were to evaluate the feasibility of direct measurement of peak circumferential strain (CS) of the carotid arterial wall using 2DST, to compare the reproducibility of CS with conventional arterial stiffness parameters in healthy subjects, and to compare CS between subjects with and without hypertension.…”

Section: Introductionmentioning

confidence: 99%

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Carotid arterial circumferential strain by two-dimensional speckle tracking: a novel parameter of arterial elasticity

Saito¹,

Okayama

Inoue

et al. 2012

Hypertens Res

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Recently, the development of two-dimensional speckle-tracking (2DST) technology has allowed the direct measurement of the elastic parameters of the carotid arterial wall. The aims of this study were to determine the feasibility of measuring peak circumferential strain (CS) of the carotid arterial wall using 2DST and to compare this value with conventional arterial stiffness parameters in subjects with and without hypertension. The study included 90 healthy subjects and 40 age-and sex-matched patients with hypertension. The short-axis view of the right common carotid artery was recorded. The CS in the posterior region of the carotid artery was calculated by 2DST using special software and corrected by the following equation: e circ ¼ ln (systolic blood pressure/diastolic blood pressure)/CS. We simultaneously measured the stiffness index b (b) at the same location and the brachial-ankle pulse wave velocity (baPWV). Sixty randomly selected healthy subjects were used to assess the inter/ intra-observer variability of e circ and b. In healthy subjects, e circ was significantly correlated with b, age and baPWV. These correlations were slightly better than the corresponding correlations of b with age and baPWV. The hypertensive patients had a significantly larger e circ than the healthy subjects (0.112 ± 0.074 vs. 0.066 ± 0.029/%, Po0.001). The inter/intra-observer variability for e circ was significantly lower than that for b. Our data suggest that the measurement of carotid e circ using 2DST is feasible and has better reproducibility than conventional carotid arterial stiffness.

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An Integrated Algorithm for Differentiating Hypertrophic Cardiomyopathy From Hypertensive Heart Disease

Kong

Wang

et al. 2023

Magnetic Resonance Imaging

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BackgroundDifferentiating hypertrophic cardiomyopathy (HCM) from hypertensive heart disease (HHD) is challenging.PurposeTo identify differences between HCM and HHD on a patient basis using MRI.Study TypeRetrospective.PopulationA total of 219 subjects, 148 in phase I (baseline data and algorithm development: 75 HCM, 33 HHD, and 40 controls) and 71 in phase II (algorithm validation: 56 HCM and 15 HHD).Field Strength/SequenceContrast‐enhanced inversion‐prepared gradient echo and cine‐balanced steady‐state free precession sequences at 3.0 T.AssessmentMRI parameters assessed included left ventricular (LV) ejection fraction (LVEF), LV end systolic and end diastolic volumes (LVESV and LVEDV), mean maximum LV wall thickness (MLVWT), LV global longitudinal and circumferential strain (GRS, GLS, and GCS), and native T1. Parameters, which were significantly different between HCM and HHD in univariable analysis, were entered into a principal component analysis (PCA). The selected components were then introduced into a multivariable regression analysis to model an integrated algorithm (IntA) for screening the two disorders. IntA performance was assessed for patients with and without LGE in phase I (development) and phase II (validation).Statistical TestsUnivariable regression, PCA, receiver operating curve (ROC) analysis. A P value <0.05 was considered statistically significant.ResultsDerived IntA formulation included LVEF, LVESV, LVEDV, MLVWT, and GCS. In LGE‐positive subjects in phase l, the cutoff point of IntA ≥81 indicated HCM (83% sensitivity and 91% specificity), with the area under the ROC curve (AUC) of 0.900. In LGE‐negative subjects, a higher possibility of HCM was indicated by a cutoff point of IntA ≥84 (100% sensitivity and 82% specificity), with an AUC of 0.947. Validation of IntA in phase II resulted in an AUC of 0.846 in LGE‐negative subjects and 0.857 in LGE‐positive subjects.Data ConclusionA per‐patient‐based IntA algorithm for differentiating HCM and HHD was generated from MRI data and incorporated FT, LGE and morphologic parameters.Evidence Level3.Technical EfficacyStage 2.

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The differences in left ventricular torsional behavior between patients with hypertrophic cardiomyopathy and hypertensive heart disease

Cited by 35 publications

References 37 publications

Evaluation of Subtle Left Ventricular Systolic Abnormalities in Adult Patients with Hypertrophic Cardiomyopathy

Evaluation of Subtle Left Ventricular Systolic Abnormalities in Adult Patients with Hypertrophic Cardiomyopathy

Carotid arterial circumferential strain by two-dimensional speckle tracking: a novel parameter of arterial elasticity

An Integrated Algorithm for Differentiating Hypertrophic Cardiomyopathy From Hypertensive Heart Disease

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