2018
DOI: 10.1111/echo.14234
|View full text |Cite
|
Sign up to set email alerts
|

Automated, machine learning‐based, 3D echocardiographic quantification of left ventricular mass

Abstract: Background: Although 3D echocardiography (3DE) circumvents many limitations of 2D echocardiography by allowing direct measurements of left ventricular (LV) mass, it is seldom used in clinical practice due to time-consuming analysis. A recently developed 3DE machine learning (ML) approach allows automated determination of LV mass. We aimed to evaluate the accuracy of this new approach by comparing it to cardiac magnetic resonance (CMR) reference and to conventional 3DE volumetric analysis. Methods:We prospectiv… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
25
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 37 publications
(25 citation statements)
references
References 37 publications
0
25
0
Order By: Relevance
“…It should be stressed that the determination of RWT can be limited by non-uniform wall thickness and regional shape deformation (37). Three-dimensional echocardiography (3D), without geometric assumptions about LV form and wall thickening distribution, is the only echocardiographic technique that accurately measures the LV mass in these patients (38). It is worth noting that in hypertensive patients, a high 3D-LV mass/EDV ratio identified a higher incidence of concentric LVH compared to 2D-derived relative wall thickness, which is inversely correlated with the stroke volume (39) and early systolic and diastolic dysfunction (40).…”
Section: The 4-group Lvh Classification System: a Critical Viewpointmentioning
confidence: 99%
“…It should be stressed that the determination of RWT can be limited by non-uniform wall thickness and regional shape deformation (37). Three-dimensional echocardiography (3D), without geometric assumptions about LV form and wall thickening distribution, is the only echocardiographic technique that accurately measures the LV mass in these patients (38). It is worth noting that in hypertensive patients, a high 3D-LV mass/EDV ratio identified a higher incidence of concentric LVH compared to 2D-derived relative wall thickness, which is inversely correlated with the stroke volume (39) and early systolic and diastolic dysfunction (40).…”
Section: The 4-group Lvh Classification System: a Critical Viewpointmentioning
confidence: 99%
“…1 On the other hand, the COAPT trial found that among patients with moderateto-severe or severe MR who remain symptomatic despite optimal medical therapy, MitraClip (Abbott Vascular, Santa Clara, CA) implantation resulted in a lower rate of hospitalization for heart failure and lower all-cause mortality within 2 years of follow-up compared with those referred to medical therapy alone. 2 In the last years, there has been an increasing interest in intraventricular (IV) fluid dynamics, assessed by Echo Particle Imaging Velocimetry (Echo-PIV), [3][4][5] and their epigenetic role in inducing changes in left ventricular (LV) dimensions and function in different clinical conditions. [3][4][5] Only a few computational studies have investigated the impact of the revised valve anatomy following MitraClip implantation on IV vortices formation.…”
Section: Authors' Replymentioning
confidence: 99%
“…2 In the last years, there has been an increasing interest in intraventricular (IV) fluid dynamics, assessed by Echo Particle Imaging Velocimetry (Echo-PIV), [3][4][5] and their epigenetic role in inducing changes in left ventricular (LV) dimensions and function in different clinical conditions. [3][4][5] Only a few computational studies have investigated the impact of the revised valve anatomy following MitraClip implantation on IV vortices formation. 5,6 Previous studies clearly showed that some parameters derived from IV flow analysis are closely associated with adverse LV remodeling.…”
Section: Authors' Replymentioning
confidence: 99%
See 2 more Smart Citations