Echocardiographic evaluation of left ventricular function using an automated analysis algorithm is feasible for beginners and experts: comparison with invasive and non-invasive methods.


Journal

Journal of echocardiography
ISSN: 1880-344X
Titre abrégé: J Echocardiogr
Pays: Japan
ID NLM: 101263153

Informations de publication

Date de publication:
06 2023
Historique:
received: 02 05 2022
accepted: 13 09 2022
revised: 01 09 2022
medline: 22 5 2023
pubmed: 14 10 2022
entrez: 13 10 2022
Statut: ppublish

Résumé

Echocardiographic measurement of left ventricular function using a user-friendly automated three-dimensional algorithm is highly attractive as it promises quick and accurate diagnosis, circumventing limitations associated with visual estimation or manual biplane measurements. We sought to assess the feasibility and correlation of such automated analysis with clinically established methods. A total of 198 patients undergoing transthoracic echocardiography (TTE) with assessment of left ventricular parameters by automated software algorithm (Philips 3D-Heartmodel; 3D-HM) which additionally had either left ventricular angiography (LVA) or cardiac magnetic resonance (CMR) within 24 h of the TTE examination were analyzed. Left ventricular parameters (left ventricular end-diastolic volume, LVEDV, left ventricular end-systolic volume, LVESV as well as left ventricular ejection fraction, LVEF) were compared between 3D-HM, CMR and LVA. Correlation of left ventricular measurements was overall good to excellent and stronger for CMR (EF r = 0.824) than for LVA (EF r = 0.746). Unexperienced and expert clinicians yielded comparable good results. For CMR, highest correlation was detected in patients with BMI < 25 and excellent image quality. High agreement was seen between 3D-HM and CMR or LVA when stratifying patients according to heart failure categories. Echocardiographic quantification of left ventricular parameters using a software-based algorithm correlated well with established invasive and non-invasive modalities in the clinical setting, even for unexperienced clinicians. Such automated approaches are promising as they allow a reliable, more observer-independent as well as reproducible assessment of left ventricular function.

Identifiants

pubmed: 36227498
doi: 10.1007/s12574-022-00590-9
pii: 10.1007/s12574-022-00590-9
pmc: PMC10195710
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-73

Informations de copyright

© 2022. The Author(s).

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Auteurs

Philipp Nicol (P)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Andreas Rank (A)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Tobias Lenz (T)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Friederike Schürmann (F)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Finn Syryca (F)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Teresa Trenkwalder (T)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Wibke Reinhard (W)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Rafael Adolf (R)

Institut Für Radiologie und Nuklearmedizin, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Martin Hadamitzky (M)

Institut Für Radiologie und Nuklearmedizin, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.

Adnan Kastrati (A)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.
Deutsches Zentrum Für Herz- und Kreislauf-Forschung (DZHK) E.V. (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.

Michael Joner (M)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.
Deutsches Zentrum Für Herz- und Kreislauf-Forschung (DZHK) E.V. (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.

Heribert Schunkert (H)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.
Deutsches Zentrum Für Herz- und Kreislauf-Forschung (DZHK) E.V. (German Center for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany.

Leif-Christopher Engel (LC)

Klinik Für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany. engel@dhm.mhn.de.

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Classifications MeSH