Comprehensive Echocardiography of Left Atrium and Left Ventricle Using Modern Techniques Helps in Better Revealing Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy

Wabich, Elżbieta; Zienciuk-Krajka, Agnieszka; Nowak, Radosław; Raczak, Alicja; Daniłowicz‐Szymanowicz, Ludmiła

doi:10.3390/diagnostics11071288

Cited by 4 publications

(4 citation statements)

References 46 publications

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“…In addition, 20 consecutive patients with hypertrophic cardiomyopathy (HCM) were also included. The diagnostic criteria of HCM was the presence of abnormal increased ventricular wall thickness or mass in the absence of loading conditions, such as hypertension, valve disease, and so on, as per a previous report (14). A total of 16 (80%) patients had an asymmetrical septal hypertrophy pattern and the remaining were with apical predominant hypertrophy.…”

Section: Participantsmentioning

confidence: 93%

3.0T cardiac magnetic resonance quantification of native T1 and myocardial extracellular volume for the diagnosis of late gadolinium enhancement-negative cardiac amyloidosis

Liu¹,

Zhu²,

Chen³

et al. 2022

Ann Transl Med

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Background: Late gadolinium enhancement (LGE) by cardiac magnetic resonance (CMR) is useful for the detection of cardiac amyloidosis (CA), but characteristic LGE patterns do not always occur or they appear late in the disease. Native T1 and extracellular volume (ECV) by T1 mapping may improve disease detection and quantify myocardial amyloid load.Methods: Thirty patients with definite CA, 10 patients with possible CA, 20 patients with hypertrophic cardiomyopathy (HCM) and 40 healthy volunteers were performed 3.0-T CMR including cine, pre-and postcontrast T1 mapping and LGE. Receiver-operating characteristic (ROC) curves were constructed to assess the diagnostic ability of native T1 and ECV for CA. Correlation analysis between native T1 or ECV and cardiac biomarkers, structure, and function indexes were assessed using Pearson or Spearman correlation, as appropriate.

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Section: Participantsmentioning

confidence: 93%

3.0T cardiac magnetic resonance quantification of native T1 and myocardial extracellular volume for the diagnosis of late gadolinium enhancement-negative cardiac amyloidosis

Liu¹,

Zhu²,

Chen³

et al. 2022

Ann Transl Med

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“…Data on myocardial mechanics may also help in risk stratification and therapeutic management during follow-up: on top of the conventional sudden cardiac death (SCD) risk factors, a reduction in the GLS, a marker of myocardial fibrosis, was shown to be an independent predictor of appropriate ICD therapy [ 15 ]. Although it is challenging to identify a prognostic cut-off value of the GLS, it has been shown that a reduction below −16% represents an echocardiographic independent predictor for heart failure hospitalization, sustained ventricular arrhythmias, all-cause death [ 16 ], as well as conferring a higher probability of AF occurrence [ 17 ].…”

Section: An Overview Of the Main Imaging Techniques In Hypertrophic C...mentioning

confidence: 99%

“…Iio et al [ 24 ] found a reduction in the peak negative global strain during atrial contraction and the peak positive strain during ventricular systole in HCM, which correlated with an increased risk of atrial fibrillation (AF) and cardiac events. In a recent HCM cohort, the 2D LA strain below 22% (together with values of the LV GLS below −16%) allowed for AF prediction with high probability [ 17 ]. Furthermore, a decrease in the peak LA strain and LA dilatation is associated with increased risk of stroke even in patients without clinical arrhythmias [ 22 , 25 ].…”

Section: An Overview Of the Main Imaging Techniques In Hypertrophic C...mentioning

confidence: 99%

“…In particular, LV and RV speckle-tracking analysis and the GLS represent novel promising techniques [ 53 , 56 , 67 , 77 ]. Furthermore, echocardiography provides important parameters for prognostic stratification (including the morphologic analysis of LV septum thickness, LVOT flow characterization and the presence of apical aneurysm) [ 17 , 66 , 68 ]. CMR, by providing data on tissue characterization, has a high specificity for excluding phenocopies and it should be considered a routine part of HCM patient evaluation [ 91 ].…”

Section: A Practical Approach To Multimodality Imaging In Hcmmentioning

confidence: 99%

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Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time

Galluzzo¹,

Fiorelli

Rossi

et al. 2023

Life

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Hypertrophic cardiomyopathy (HCM) follows highly variable paradigms and disease-specific patterns of progression towards heart failure, arrhythmias and sudden cardiac death. Therefore, a generalized standard approach, shared with other cardiomyopathies, can be misleading in this setting. A multimodality imaging approach facilitates differential diagnosis of phenocopies and improves clinical and therapeutic management of the disease. However, only a profound knowledge of the progression patterns, including clinical features and imaging data, enables an appropriate use of all these resources in clinical practice. Combinations of various imaging tools and novel techniques of artificial intelligence have a potentially relevant role in diagnosis, clinical management and definition of prognosis. Nonetheless, several barriers persist such as unclear appropriate timing of imaging or universal standardization of measures and normal reference limits. This review provides an overview of the current knowledge on multimodality imaging and potentialities of novel tools, including artificial intelligence, in the management of patients with sarcomeric HCM, highlighting the importance of specific “red alerts” to understand the phenotype–genotype linkage.

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Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms

Kim

Park

Jeon

et al. 2022

Int J Cardiovasc Imaging

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We aimed to compare the segmentation performance of the current prominent deep learning (DL) algorithms with ground-truth segmentations and to validate the reproducibility of the manually created 2D echocardiographic four cardiac chamber ground-truth annotation. Recently emerged DL based fully-automated chamber segmentation and function assessment methods have shown great potential for future application in aiding image acquisition, quantification, and suggestion for diagnosis. However, the performance of current DL algorithms have not previously been compared with each other. In addition, the reproducibility of ground-truth annotations which are the basis of these algorithms have not yet been fully validated. We retrospectively enrolled 500 consecutive patients who underwent transthoracic echocardiogram (TTE) from December 2019 to December 2020. Simple U-net, Res-U-net, and Dense-U-net algorithms were compared for the segmentation performances and clinical indices such as left atrial volume (LAV), left ventricular end diastolic volume (LVEDV), left ventricular end systolic volume (LVESV), LV mass, and ejection fraction (EF) were evaluated. The inter- and intra-observer variability analysis was performed by two expert sonographers for a randomly selected echocardiographic view in 100 patients (apical 2-chamber, apical 4-chamber, and parasternal short axis views). The overall performance of all DL methods was excellent [average dice similarity coefficient (DSC) 0.91 to 0.95 and average Intersection over union (IOU) 0.83 to 0.90], with the exception of LV wall area on PSAX view (average DSC of 0.83, IOU 0.72). In addition, there were no significant difference in clinical indices between ground truth and automated DL measurements. For inter- and intra-observer variability analysis, the overall intra observer reproducibility was excellent: LAV (ICC = 0.995), LVEDV (ICC = 0.996), LVESV (ICC = 0.997), LV mass (ICC = 0.991) and EF (ICC = 0.984). The inter-observer reproducibility was slightly lower as compared to intraobserver agreement: LAV (ICC = 0.976), LVEDV (ICC = 0.982), LVESV (ICC = 0.970), LV mass (ICC = 0.971), and EF (ICC = 0.899). The three current prominent DL-based fully automated methods are able to reliably perform four-chamber segmentation and quantification of clinical indices. Furthermore, we were able to validate the four cardiac chamber ground-truth annotation and demonstrate an overall excellent reproducibility, but still with some degree of inter-observer variability.

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Comprehensive Echocardiography of Left Atrium and Left Ventricle Using Modern Techniques Helps in Better Revealing Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy

Cited by 4 publications

References 46 publications

3.0T cardiac magnetic resonance quantification of native T1 and myocardial extracellular volume for the diagnosis of late gadolinium enhancement-negative cardiac amyloidosis

3.0T cardiac magnetic resonance quantification of native T1 and myocardial extracellular volume for the diagnosis of late gadolinium enhancement-negative cardiac amyloidosis

Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time

Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms

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