Artificial Intelligence ECG as a Novel Screening Tool to Detect a Newly Abnormal Left Ventricular Ejection Fraction After Anthracycline-Based Cancer Therapy.

Anthracyclines Artificial Intelligence Cardio-oncology Cardiotoxicity breast cancer

Journal

European journal of preventive cardiology
ISSN: 2047-4881
Titre abrégé: Eur J Prev Cardiol
Pays: England
ID NLM: 101564430

Informations de publication

Date de publication:
07 Nov 2023
Historique:
received: 07 08 2023
revised: 15 10 2023
accepted: 02 11 2023
medline: 9 11 2023
pubmed: 9 11 2023
entrez: 9 11 2023
Statut: aheadofprint

Résumé

Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly manifesting as a reduction in left ventricular ejection fraction (LVEF). Early recognition and treatment have been advocated, but robust, convenient and cost-effective alternatives to cardiac imaging are missing. Recent developments in artificial intelligence (AI) techniques applied to electrocardiograms (ECGs) may fill this gap, but no study so far has demonstrated its merit for the detection of an abnormal LVEF after anthracycline therapy. Single center consecutive cohort study of all breast cancer patients with ECG and transthoracic echocardiography (TTE) evaluation before and after (neo)adjuvant anthracycline chemotherapy. Patients with HER-2-directed therapy, metastatic disease, second primary malignancy or pre-existing cardiovascular disease were excluded from the analyses as were patients with LVEF decline for reasons other than anthracycline-induced cardiotoxicity. Primary readout was the diagnostic performance of AI-ECG by area under the curve (AUC) for LVEFs <50%. Of 989 consecutive female breast cancer patients, 22 developed a decline in LVEF attributed to anthracycline therapy over a follow-up time of 9.83 ± 4.2 years. After exclusion of patients who did not have an ECGs within 90 days of a TTE, 20 cases and 683 controls remained. The AI-ECG model detected an LVEF <50% and ≤35% after anthracycline therapy with an AUC of 0.93 and 0.94, respectively. These data support the use of AI-ECG for cardiotoxicity screening after anthracycline-based chemotherapy. This technology could serve as a gatekeeper to more costly cardiac imaging and could enable patients to monitor themselves over long periods of time. AI-ECG can be used to screen for newly cardiac dysfunction after anthracyclines chemotherapy ultimately limiting the number of transthoracic echos to be performed in the long-term follow-up of patients treated with anthracyclines.

Autres résumés

Type: plain-language-summary (eng)
AI-ECG can be used to screen for newly cardiac dysfunction after anthracyclines chemotherapy ultimately limiting the number of transthoracic echos to be performed in the long-term follow-up of patients treated with anthracyclines.

Identifiants

pubmed: 37943680
pii: 7378815
doi: 10.1093/eurjpc/zwad348
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Johanna E J Jacobs (JEJ)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.
Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Grace Greason (G)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Kathryn E Mangold (KE)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Hans Wildiers (H)

Department of Oncology, University Hospitals Leuven, Leuven Belgium.

Rik Willems (R)

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Stefan Janssens (S)

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Peter Noseworthy (P)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Francisco Lopez-Jimenez (F)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Jens-Uwe Voigt (JU)

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Paul Friedman (P)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Lucas Van Aelst (L)

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Bert Vandenberk (B)

Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.

Zachi Itzhak Attia (ZI)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Joerg Herrmann (J)

Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA.

Classifications MeSH