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Updated: Jan 31, 2026
06:34
Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
4.7K
Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass
Valentina Volpato1,2, Victor Mor-Avi1, Akhil Narang1
1Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
Echocardiography (Mount Kisco, N.Y.)
|December 29, 2018
Summary
A new machine learning (ML) approach for 3D echocardiography (3DE) automates left ventricular (LV) mass measurement. This ML-based 3DE is accurate, fast, and reproducible, potentially improving clinical use.
Area of Science:
- Cardiovascular Imaging
- Artificial Intelligence in Medicine
- Medical Technology
Background:
- 2D echocardiography has limitations for left ventricular (LV) mass measurement.
- 3D echocardiography (3DE) offers direct LV mass measurements but is time-consuming.
- A novel machine learning (ML) approach automates 3DE analysis for LV mass.
Purpose of the Study:
- To evaluate the accuracy of a new automated ML-based 3DE software for LV mass.
- To compare the ML-3DE approach against cardiac magnetic resonance (CMR) as reference.
- To compare the ML-3DE approach against conventional 3DE volumetric analysis.
Main Methods:
- Prospective study of 23 patients undergoing same-day 3DE and CMR.
- Automated LV mass quantification using ML software (Philips HeartModel) with manual corrections.
- Conventional LV mass analysis using TomTec software and CMR slice-by-slice tracing.
Main Results:
- Automated 3DE LV mass measurements were feasible in 87% of patients.
- ML-3DE results showed good agreement with CMR (bias 5 g, ±37 g) and conventional 3DE (bias 7 g, ±27 g).
- Processing time was significantly reduced (ML-3DE: 1.02 min vs. CMR: 2.20 min, TomTec: 2.36 min).
- High reproducibility was observed for the ML approach (ICC=0.99, CoV=4±5%).
Conclusions:
- The ML-based 3DE algorithm for LV mass is feasible, fast, and accurate.
- This automated approach may facilitate the clinical integration of 3DE for LV mass assessment.
- The study highlights the potential of AI to enhance cardiovascular imaging analysis.
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