Novelties in 3D Transthoracic Echocardiography

Italiano, Gianpiero; Fusini, Laura; Mantegazza, Valentina; Tamborini, Gloria; Muratori, Manuela; Ali, Sarah; Penso, Marco; Garlaschè, Anna; Gripari, Paola; Pepi, Mauro

doi:10.3390/jcm10030408

Cited by 11 publications

(11 citation statements)

References 69 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A significant reduction in LV dimensions associated with a slight, though significant, LVEF improvement was documented in IHD only by 3D TTE (Table 2). Indeed, in the case of previous myocardial infarction, the LV may undergo profound morphological changes with distortion of its 3D shape, which may be unnoticed by 2D echocardiography [27,28]. Although LV reverse remodelling has been described by 2D TTE at mid-and long-term follow-up after S/V initiation in HFrEF patients [1,[3][4][5][6][7]23], only one study conducted subgroup analyses and found no differences in the 2D LVEF improvement between IHD and non-IHD [29].…”

Section: Discussionmentioning

confidence: 99%

“…The assessment of RV dimensions and function by 2D TTE may be inaccurate because of RV crescent-shape morphology. As 3D imaging techniques do not rely on geometric assumptions, they are considered the gold standard for the RV evaluation [28,31,32], and when cardiac magnetic resonance is contraindicated or not feasible, 3D TTE is the mainstay for the RV evaluation [33]. Considering its prognostic role and implications for possible LVAD implantation in HF patients, the RV morphology and function should be routinely evaluated and monitored over time by both 2D and 3D echocardiography.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Cardiac Reverse Remodelling by 2D and 3D Echocardiography in Heart Failure Patients Treated with Sacubitril/Valsartan

et al. 2021

Self Cite

View full text Add to dashboard Cite

In terms of sacubitril/valsartan (S/V)-induced changes in heart failure with reduced ejection fraction (HFrEF) via three-dimensional (3D) transthoracic echocardiography (TTE) and S/V effects based on HF aetiology, data are lacking. We prospectively enrolled 51 HFrEF patients (24 ischaemic, 27 non-ischaemic). At baseline and at 6-month follow-up (6MFU) after S/V treatment optimisation, we assessed the N-terminal pro-B-type natriuretic peptide (NT-proBNP), and cardiac remodelling by two-dimensional (2D) and 3DTTE. In non-ischaemic patients, 2D and 3DTTE showed an improvement in left ventricular (LV) size and biventricular function at 6MFU vs. baseline: 3D-LV end-diastolic volume (EDV) 103 ± 30 vs. 125 ± 32 mL/m2 (p < 0.05), 3D-LV ejection fraction (EF) 40 ± 9 vs. 32 ± 5% (p < 0.05), right ventricular (RV) 3D-EF 48.4 ± 6.5 vs. 44.3 ± 7.5% (p < 0.05); only the 3D method detected RV size reduction: 3D-RVEDV 63 ± 27 vs. 71 ± 30 mL/m2 (p < 0.05). In ischaemic patients, only 3DTTE showed biventricular size and LV function improvement: 3D-LVEDV 112 ± 29 vs. 121 ± 27 mL/m2 (p < 0.05), 3D-LVEF 35 ± 6 vs. 32 ± 5% (p < 0.05), 3D-RVEDV 57 ± 11 vs. 63 ± 14 mL/m2 (p < 0.05); RV function did not ameliorate. In both ischaemic and non-ischaemic patients, diastolic function and NT-proBNP significantly improved. In HFrEF patients treated with S/V, 3DTTE helps to ascertain subtle changes in heart chambers’ size and function, which have a major impact on HFrEF prognosis. S/V has significantly different effects on LV function in non-ischaemic vs. ischaemic patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Cardiac Reverse Remodelling by 2D and 3D Echocardiography in Heart Failure Patients Treated with Sacubitril/Valsartan

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…e main noninvasive methods currently used for stroke volume estimation are thoracic electrical bioimpedance [27] and transthoracic echocardiography [28]. However, in transthoracic echocardiography protocol, at least one intensivist in each unit who is an expert on transthoracic echocardiography should be available.…”

Section: Resultsmentioning

confidence: 99%

Stroke Volume Estimation from Respiratory Inductive Plethysmography: Double Empirical Decomposition

Abdulhay

Guméry

Ilango³

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

In this study, we have developed a “double-empirical mode decomposition algorithm” to estimate cardiac stroke volume from respiratory inductive plethysmography (RIP) signals. The algorithm consists of first an ensemble empirical mode decomposition (EEMD) to extract the cardiorespiratory components. Then, it is followed by an empirical mode decomposition (EMD) to extract only the cardiac components. This double approach permits (a) solving problems of mixing between cardiac and respiratory components (mode and scale mixing), (b) cardiogenic oscillations extraction in the respiratory inductive plethysmography signal, and (c) subsequent estimation of stroke volume. The algorithm is applied to simulated and real RIP signals. The simulated signals are generated by a cardiorespiratory model previously published by the authors. The real signals are measured via a developed inductive vest. In the real case, the values of estimated stroke volumes are compared to the values obtained by thoracocardiographic filter-based method. In the simulated case, the values are compared to the simulated cardiac activity. The results of comparison through Bland and Altman indicate an error lying in the range ±10%. In contrast to thoracocardiography, the proposed method consists of a promising tool for continuous noninvasive adaptive cardiac monitoring that does not need adjusting parameters or cut-off based on ECG. Also, in comparison to echocardiography and impedance-based methods, it does not necessitate the presence of an expert and is not too sensitive to current penetration.

show abstract

“…Echocardiography is a widely used imaging modality in cardiology, particularly for the assessment and measurement of heart chambers and in the study of valvular disease [20]. It may greatly benefit from ML tools as these could be used to obtain automated and accurate measurements, reducing inter-and intra-rater variability, which are typical of ultrasound examinations.…”

Section: Echocardiographymentioning

confidence: 99%

Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem

Spadarella

Perillo

Ugga

et al. 2022

Curr Cardiovasc Imaging Rep

View full text Add to dashboard Cite

Purpose of Review This review of the literature aims to present potential applications of radiomics in cardiovascular radiology and, in particular, in cardiac imaging. Recent Findings Radiomics and machine learning represent a technological innovation which may be used to extract and analyze quantitative features from medical images. They aid in detecting hidden pattern in medical data, possibly leading to new insights in pathophysiology of different medical conditions. In the recent literature, radiomics and machine learning have been investigated for numerous potential applications in cardiovascular imaging. They have been proposed to improve image acquisition and reconstruction, for anatomical structure automated segmentation or automated characterization of cardiologic diseases. Summary The number of applications for radiomics and machine learning is continuing to rise, even though methodological and implementation issues still limit their use in daily practice. In the long term, they may have a positive impact in patient management.

show abstract

Novelties in 3D Transthoracic Echocardiography

Cited by 11 publications

References 69 publications

Cardiac Reverse Remodelling by 2D and 3D Echocardiography in Heart Failure Patients Treated with Sacubitril/Valsartan

Cardiac Reverse Remodelling by 2D and 3D Echocardiography in Heart Failure Patients Treated with Sacubitril/Valsartan

Stroke Volume Estimation from Respiratory Inductive Plethysmography: Double Empirical Decomposition

Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem

Contact Info

Product

Resources

About