Literature DB >> 28916243

Feasibility and Accuracy of Automated Software for Transthoracic Three-Dimensional Left Ventricular Volume and Function Analysis: Comparisons with Two-Dimensional Echocardiography, Three-Dimensional Transthoracic Manual Method, and Cardiac Magnetic Resonance Imaging.

Gloria Tamborini1, Concetta Piazzese2, Roberto M Lang3, Manuela Muratori2, Elisa Chiorino2, Massimo Mapelli2, Laura Fusini2, Sarah Ghulam Ali2, Paola Gripari2, Gianluca Pontone2, Daniele Andreini2, Mauro Pepi2.   

Abstract

BACKGROUND: Recently, a new automated software package (HeartModel) was developed to obtain three-dimensional (3D) left ventricular (LV) volumes using a model-based algorithm (MBA) with a "one-button" simple system and user-adjustable slider. The aims of this study were to verify the feasibility and accuracy of the MBA in comparison with other commonly used imaging techniques in a large unselected population, to evaluate possible accuracy improvements of free operator border adjustments or changes of the slider's default position, and to identify differences in method accuracy related to specific pathologies.
METHODS: This prospective study included consecutive 200 patients. LV volumes and ejection fraction were obtained using the MBA and compared with the two-dimensional biplane method, the 3D full-volume (3DFV) modality, and, in 90 of 200 cases, cardiac magnetic resonance (CMR) measurements. To evaluate the optimal position of the slider with respect to the 3DFV and CMR modalities, a set of threefold cross-validation experiments was performed. Optimized and manually corrected LV volumes obtained using the MBA were also tested. Linear correlation and Bland-Altman analysis were used to assess intertechnique agreement.
RESULTS: Automatic volumes were feasible in 194 patients (94.5%), with a mean processing time of 29 ± 10 sec. MBA-derived volumes correlated significantly with all evaluated methods, with slight overestimation of two-dimensional biplane and slight underestimation of CMR measurements. Higher correlations were found between MBA and 3DFV measurements, with negligible differences both in volumes (overestimation) and in LV ejection fraction (underestimation), respectively. Optimization of the user-adjustable slider position improved the correlation and markedly reduced the bias between the MBA and 3DFV or CMR. The accuracy of MBA volumes was lower in some pathologies for incorrect definition of LV endocardium.
CONCLUSIONS: The MBA is highly feasible, reproducible, and rapid, and it correlates highly with the traditional 3DFV method. It may represent a valid alternative to 3DFV measurement for everyday clinical use.
Copyright © 2017 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Left ventricle; Left ventricular function; Three-dimensional echocardiography

Mesh:

Year:  2017        PMID: 28916243     DOI: 10.1016/j.echo.2017.06.026

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  16 in total

1.  Machine learning based automated dynamic quantification of left heart chamber volumes.

Authors:  Akhil Narang; Victor Mor-Avi; Aldo Prado; Valentina Volpato; David Prater; Gloria Tamborini; Laura Fusini; Mauro Pepi; Neha Goyal; Karima Addetia; Alexandra Gonçalves; Amit R Patel; Roberto M Lang
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-05-01       Impact factor: 6.875

Review 2.  Contemporary review in the multi-modality imaging evaluation and management of tricuspid regurgitation.

Authors:  Tom Kai Ming Wang; Shinya Unai; Bo Xu
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

Review 3.  Advanced Echocardiographic Techniques in Cardio-Oncology: the Role for Early Detection of Cardiotoxicity.

Authors:  Lucía Cobarro Gálvez; Emilio Arbas Redondo; Cristina Contreras Lorenzo; Teresa López Fernández
Journal:  Curr Cardiol Rep       Date:  2022-07-26       Impact factor: 3.955

4.  Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert.

Authors:  Federico M Asch; Nicolas Poilvert; Theodore Abraham; Madeline Jankowski; Jayne Cleve; Michael Adams; Nathanael Romano; Ha Hong; Victor Mor-Avi; Randolph P Martin; Roberto M Lang
Journal:  Circ Cardiovasc Imaging       Date:  2019-09-16       Impact factor: 7.792

Review 5.  Modern-day cardio-oncology: a report from the 'Heart Failure and World Congress on Acute Heart Failure 2018'.

Authors:  Markus S Anker; Alessia Lena; Sara Hadzibegovic; Yury Belenkov; Jutta Bergler-Klein; Rudolf A de Boer; Alain Cohen-Solal; Dimitrios Farmakis; Stephan von Haehling; Teresa López-Fernández; Radek Pudil; Thomas Suter; Carlo G Tocchetti; Alexander R Lyon
Journal:  ESC Heart Fail       Date:  2018-12

Review 6.  Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.

Authors:  K R Siegersma; T Leiner; D P Chew; Y Appelman; L Hofstra; J W Verjans
Journal:  Neth Heart J       Date:  2019-09       Impact factor: 2.380

7.  Multimodality imaging in takotsubo syndrome: a joint consensus document of the European Association of Cardiovascular Imaging (EACVI) and the Japanese Society of Echocardiography (JSE).

Authors:  Rodolfo Citro; Hiroyuki Okura; Jelena R Ghadri; Chisato Izumi; Patrick Meimoun; Masaki Izumo; Dana Dawson; Shuichiro Kaji; Ingo Eitel; Nobuyuki Kagiyama; Yukari Kobayashi; Christian Templin; Victoria Delgado; Satoshi Nakatani; Bogdan A Popescu
Journal:  J Echocardiogr       Date:  2020-09-04

8.  Optimal threshold of three-dimensional echocardiographic fully automated software for quantification of left ventricular volumes and ejection fraction: Comparison with cardiac magnetic resonance disk-area summation method and feature tracking method.

Authors:  Victor Chien-Chia Wu; Tetuji Kitano; Yosuke Nabeshima; Kyoko Otani; Pao-Hsien Chu; Masaaki Takeuchi
Journal:  PLoS One       Date:  2019-01-28       Impact factor: 3.240

9.  Recent advances in cardio-oncology: a report from the 'Heart Failure Association 2019 and World Congress on Acute Heart Failure 2019'.

Authors:  Markus S Anker; Sara Hadzibegovic; Alessia Lena; Yury Belenkov; Jutta Bergler-Klein; Rudolf A de Boer; Dimitrios Farmakis; Stephan von Haehling; Zaza Iakobishvili; Christoph Maack; Radek Pudil; Hadi Skouri; Alain Cohen-Solal; Carlo G Tocchetti; Andrew J S Coats; Petar M Seferović; Alexander R Lyon
Journal:  ESC Heart Fail       Date:  2019-12-28

10.  3D echocardiography, arterial stiffness, and biomarkers in early diagnosis and prediction of CHOP-induced cardiotoxicity in non-Hodgkin's lymphoma.

Authors:  Diana Mihalcea; Maria Florescu; Ramona Bruja; Natalia Patrascu; Ana-Maria Vladareanu; Dragos Vinereanu
Journal:  Sci Rep       Date:  2020-10-28       Impact factor: 4.379

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