Myocardial tissue characterisation using echocardiographic deformation imaging

Moharram, M.A.; Lamberts, Regis R.; Whalley, Gillian; Williams, Michael J.A.; Coffey, Sean

doi:10.1186/s12947-019-0176-9

Cited by 27 publications

(23 citation statements)

References 55 publications

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“…Our observation that regional deformation features provide incremental value to global architectural and global functional features in classifying disease etiology is consistent with emerging evidence that such measures are intimately coupled to underlying tissue characteristics (24). Strain-based markers have shown strong regional correlation with underlying markers of fibrosis (i.e., interstitial expansion) among patients with HCM (2,(25)(26)(27)(28) and CA (13,29), as well as in non-hypertrophic states such as ischemic (30)(31)(32) and dilated cardiomyopathy (33).…”

Section: Discussionsupporting

confidence: 84%

Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy

Satriano

Afzal

et al. 2020

Front. Cardiovasc. Med.

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The diagnosis of cardiomyopathy states may benefit from machine-learning (ML) based approaches, particularly to distinguish those states with similar phenotypic characteristics. Three-dimensional myocardial deformation analysis (3D-MDA) has been validated to provide standardized descriptors of myocardial architecture and deformation, and may therefore offer appropriate features for the training of ML-based diagnostic tools. We aimed to assess the feasibility of automated disease diagnosis using a neural network trained using 3D-MDA to discriminate hypertrophic cardiomyopathy (HCM) from its mimic states: cardiac amyloidosis (CA), Anderson–Fabry disease (AFD), and hypertensive cardiomyopathy (HTNcm). 3D-MDA data from 163 patients (mean age 53.1 ± 14.8 years; 68 females) with left ventricular hypertrophy (LVH) of known etiology was provided. Source imaging data was from cardiac magnetic resonance (CMR). Clinical diagnoses were as follows: 85 HCM, 30 HTNcm, 30 AFD, and 18 CA. A fully-connected-layer feed-forward neural was trained to distinguish HCM vs. other mimic states. Diagnostic performance was compared to threshold-based assessments of volumetric and strain-based CMR markers, in addition to baseline clinical patient characteristics. Threshold-based measures provided modest performance, the greatest area under the curve (AUC) being 0.70. Global strain parameters exhibited reduced performance, with AUC under 0.64. A neural network trained exclusively from 3D-MDA data achieved an AUC of 0.94 (sensitivity 0.92, specificity 0.90) when performing the same task. This study demonstrates that ML-based diagnosis of cardiomyopathy states performed exclusively from 3D-MDA is feasible and can distinguish HCM from mimic disease states. These findings suggest strong potential for computer-assisted diagnosis in clinical practice.

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Section: Discussionsupporting

confidence: 84%

Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy

Satriano

Afzal

et al. 2020

Front. Cardiovasc. Med.

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“…By reconstructing the deformation and motion of the speckles, the motion of fluid and tissues can be analyzed. The accuracy of speckle tracking and its clinical utility for the assessment of cardiac function has been demonstrated in cardiac imaging studies [ 74 , 75 , 76 , 77 , 78 ]. This speckle tracking method was applied to quantitative evaluation of the shear stress of flexor tendon and surrounding SSCT during finger motion in the carpal tunnel [ 79 , 80 ] ( Figure 6 ).…”

Section: Speckle Tracking For Cts Assessmentmentioning

confidence: 99%

Recent Advances in Ultrasound Diagnosis of Carpal Tunnel Syndrome

2020

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With the widespread use of high-resolution ultrasonography, ultrasonic examination has been shown to be useful as a diagnostic method for carpal tunnel syndrome. The main advantages of ultrasonography are that it is simple, quick, non-invasive, and economical. Another advantage is that tissue dynamics can be observed with real-time imaging. In recent reports, it has been shown that ultrasonic examination can provide similar diagnostic accuracy as nerve conduction study in the diagnosis of carpal tunnel syndrome. It has been expected that ultrasound demand in daily medical care will continue to increase. Ultrasonography in carpal tunnel syndrome shows an enlarged median nerve in proximal carpal tunnel, thickening of the flexor retinaculum, and edema around flexor tendons in cross-sectional images. In addition, with the introduction of new technologies such as ultrasonic elastography and speckle tracking, it has become possible to quantify dynamics and material property changes of nerves, tendons, and their surrounding structures. In this review, we describe recent advancements of carpal tunnel syndrome diagnosis based on ultrasound dynamic images, and discuss its pathology.

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“…Myocardial fibrosis (MF) has become a crucial marker to identify on multi-modality imaging. Advanced echocardiographic techniques, such as myocardial deformation indices by speckle tracking echocardiography (STE), allow objective identification of abnormalities in cardiac function in early and subclinical phases of various cardiac diseases (1). Over the last decade, cardiovascular magnetic resonance (CMR) has emerged as a powerful non-invasive imaging modality able to characterize the myocardial tissue.…”

Section: Introductionmentioning

confidence: 99%

Novel Approaches in Cardiac Imaging for Non-invasive Assessment of Left Heart Myocardial Fibrosis

Mandoli

D’Ascenzi

Vinco

et al. 2021

Front. Cardiovasc. Med.

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In the past, the identification of myocardial fibrosis was only possible through invasive histologic assessment. Although endomyocardial biopsy remains the gold standard, recent advances in cardiac imaging techniques have enabled non-invasive tissue characterization of the myocardium, which has also provided valuable insights into specific disease processes. The diagnostic accuracy, incremental yield and prognostic value of speckle tracking echocardiography, late gadolinium enhancement and parametric mapping modules by cardiac magnetic resonance and cardiac computed tomography have been validated against tissue samples and tested in broad patient populations, overall providing relevant clinical information to the cardiologist. This review describes the patterns of left ventricular and left atrial fibrosis, and their characterization by advanced echocardiography, cardiac magnetic resonance and cardiac computed tomography, allowing for clinical applications in sudden cardiac death and management of atrial fibrillation.

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Myocardial tissue characterisation using echocardiographic deformation imaging

Cited by 27 publications

References 55 publications

Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy

Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy

Recent Advances in Ultrasound Diagnosis of Carpal Tunnel Syndrome

Novel Approaches in Cardiac Imaging for Non-invasive Assessment of Left Heart Myocardial Fibrosis

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