Right Atrial Deformation Analysis in Cardiac Amyloidosis - Results from the Three-Dimensional Speckle-Tracking Echocardiographic MAGYAR-Path Study

Imaging findings of right cardiac amyloidosis: impact on prognosis and clinical course

Cardiac involvement from amyloidosis is of growing interest in the overall literature. Despite cardiac amyloidosis (CA) has been considered for a long time a rare disease, the diagnostic awareness is increasing mainly thanks to the improvement of diagnostic softwares and of imaging techniques such as cardiac magnetic resonance  (CMR). Some authors have observed an increase of prevalence rate of CA; moreover it's often underestimated because clinical manifestations are aspecific. The interstitial infiltration of the left ventricle has been extensively studied, while the involvement of the right ventricle (RV) has been less investigated. Involvement of the RV, even in the absence of pulmonary hypertension or clearly left ventricle infiltration, plays an important role as prognostic factor and is useful to achieve an early diagnosis. Therefore, the use of fast and low-cost diagnostic methods such as ultrasound strain of the right ventricle could be used to recognize cardiac amyloidosis early. Herein the importance of evaluating the right ventricular involvement, which can predict the most severe course of the disease also without overt clinical manifestations. The role of imaging, in particular of echocardiography, CMR, and scintigraphy is here reported.

Echocardiographic evaluation of the right atrial size and function: Relevance for clinical practice

Right atrial (RA) structural and functional evaluations have recently emerged as powerful biomarkers for adverse events in various cardiovascular conditions. Quantitative analysis of the right atrium, usually performed with volume changes or speckle-tracking echocardiography (STE), has markedly changed our understanding of RA function and remodeling. Knowledge of reference echocardiographic values and measurement methods of RA volumes and myocardial function is a prerequisite to introduce RA quantitation in the clinical routine. This review describes the methodology, benefits and pitfalls of measuring RA size and function by echocardiography based on the current understanding of right atrial anatomy and physiological function and provides the current knowledge of right atrial function in related cardiac diseases.

A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function

BACKGROUND

This study challenges state-of-the-art cardiac amyloidosis (CA) diagnostics by feeding multi-chamber strain and cardiac function into supervised machine (SVM) learning algorithms.

METHODS

Forty-three CA (32 males; 79 years (IQR 71; 85)), 20 patients with hypertrophic cardiomyopathy (HCM, 10 males; 63.9 years (±7.4)) and 44 healthy controls (CTRL, 23 males; 56.3 years (IQR 52.5; 62.9)) received cardiovascular magnetic resonance imaging. Left atrial, right atrial and right ventricular strain parameters and cardiac function generated a 41-feature matrix for decision tree (DT), k-nearest neighbor (KNN), SVM linear and SVM radial basis function (RBF) kernel algorithm processing. A 10-feature principal component analysis (PCA) was conducted using SVM linear and RBF.

RESULTS

Forty-one features resulted in diagnostic accuracies of 87.9% (AUC = 0.960) for SVM linear, 90.9% (0.996; Precision = 94%; Sensitivity = 100%; F1-Score = 97%) using RBF kernel, 84.9% (0.970) for KNN, and 78.8% (0.787) for DT. The 10-feature PCA achieved 78.9% (0.962) via linear SVM and 81.8% (0.996) via RBF SVM. Explained variance presented bi-atrial longitudinal strain and left and right atrial ejection fraction as valuable CA predictors.

CONCLUSION

SVM RBF kernel achieved competitive diagnostic accuracies under supervised conditions. Machine learning of multi-chamber cardiac strain and function may offer novel perspectives for non-contrast clinical decision-support systems in CA diagnostics.

Evaluation of Cardiac Function before and after PAD Regimen in Patients with Multiple Myeloma by Three-Dimensional Speckle Tracking Imaging

In this manuscript, we have evaluated numerous changes of cardiac function in patients with multiple myeloma before and after PAD chemotherapy with 3D speck tracking imaging (3D-STI). For this purpose, 39 patients with multiple myeloma, from July 2019 to December 2020, who received the PAD regimen (bortezomib + doxorubicin liposome + dexamethasone, a course of 12 days) were selected as subjects. A comparison of two-dimensional conventional echocardiographic parameters before and after chemotherapy and 3D-STI related parameters was carried out. After 6 cycles of chemotherapy, the levels of TAPSE, RVFAC, and LVEF were significantly lower than those before chemotherapy (P < 0.05). There was no significant difference in the results of left and right ventricle two-dimensional conventional echocardiography before chemotherapy and 2 or 4 cycles after chemotherapy (P > 0.05). There were significant differences in the levels of RVGCS, RVGLS, RVGRS, LVGLS, and LVGRS before and after chemotherapy (P < 0.05). Specifically, RVGCS: after 6 cycles of chemotherapy < after 4 cycles of chemotherapy < before chemotherapy; RVGLS: after 6 cycles of chemotherapy < after 4 cycles of chemotherapy < after 2 cycles of chemotherapy < before chemotherapy; RVGRS: after 6 cycles of chemotherapy < after 4 cycles of chemotherapy < before chemotherapy; LVGLS: after 6 cycles of chemotherapy < after 4 cycles of chemotherapy < before chemotherapy; and LVGRS: after 6 cycles of chemotherapy < before chemotherapy. The results of Pearson correlation analysis showed that the dose of doxorubicin was negatively correlated with RVGCS, RVGLS, RVGRS, and LVGLS, but not with TAPSE, RVFAC, LVEF, and LVGRS. 3D-STI is helpful for early detection of the changes of left and right ventricular myocardial function after PAD chemotherapy in patients with multiple myeloma. And the early screening value of the RVGLS parameter is higher.

The right atrium in acromegaly-a three-dimensional speckle-tracking echocardiographic analysis from the MAGYAR-Path Study

BACKGROUND

Acromegaly is a chronic, rare hormonal disease associated with major cardiovascular co-morbidities. The disease, in the majority of the cases, is caused by a benign human growth hormone (hGH) secreting adenoma. Cardiovascular involvement is especially common in acromegalic patients from the most common hypertension to cardiomyopathy. Left ventricular hypertrophy and myocardial fibrosis are considered common findings in acromegalic cardiomyopathy, which might result in severe heart failure at end-stages. It was set out to quantify right atrial (RA) morphology and function in a group of acromegalic patients using three-dimensional (3D) speckle-tracking echocardiography (3DSTE).

METHODS

The study comprised 30 patients from which 8 patients were excluded due to inadequate image quality. Mean age of the remaining acromegaly patients were 53.7±14.5 years (7 males). In the control group 44 healthy adults were enrolled (mean age: 50.7±12.6 years, 15 males). In each case, complete two-dimensional Doppler echocardiography was performed followed by 3DSTE.

RESULTS

All three RA volumetric parameters (Vmax, Vmin, VpreA) were significantly higher in case of acromegaly compared to the healthy controls. Strain analysis revealed that RA function may be enhanced in acromegalic patients, which is more notable in case of active acromegaly. Numerous independent strain parameters had significant correlations with different hormonal variables in the active acromegaly group. These correlations were not present in the inactive acromegaly subgroup.

CONCLUSIONS

Acromegaly has a profound effect on RA function and with proper treatment these changes partly seem to be reversible.

Normal reference values of right atrial strain parameters using three-dimensional speckle-tracking echocardiography (results from the MAGYAR-Healthy Study)

Classic echocardiographic methodologies offer limited opportunities in assessing right atrial (RA) morphology and function. Three-dimensional (3D) speckle-tracking echocardiography (3DSTE) is a novel imaging method with objective 3D capability in assessing volumetric and functional properties of heart chambers. Normal reference values of different 3DSTE-derived RA strains are not available, therefore the aim of this prospective study was to establish these parameters in healthy subjects. The present study comprised 295 healthy volunteers, from which 110 were excluded due to inadequate image quality. The final population consisted of 185 healthy subjects in the present study (mean age: 32.1 ± 12.2 years, 89 males). Complete two-dimensional echocardiography and 3DSTE have been performed in all cases. While radial strain (RS) does not change significantly over the years in males, in female subjects it increases with age most significantly between at the age of 40–49, and it starts to decline at the age of 50 in females. While females have higher circumferential (CS) and area (AS) strain values, CS and AS decrease with age in both gender. While LS remains almost unchanged in females until ages 40–49 years with a decline above the age of 50, it decreases over the decades in males. 3D strain (3DS) increases with age in both gender, but almost doubles in females in older ages. Specific pattern of strains at atrial contraction could also be demonstrated. 3DSTE-derived RA normal reference values with age-, gender-dependency and regional values are demonstrated in a healthy population.