Jeroen F van der Heijden
Overview
Explore the profile of Jeroen F van der Heijden including associated specialties, affiliations and a list of published articles.
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57
Citations
1388
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Recent Articles
1.
Spenkelink D, van Wessel H, van Driel V, Ramanna H, van der Heijden J
Eur Heart J Case Rep
. 2024 Sep;
8(9):ytae478.
PMID: 39308928
Background: Radiofrequency catheter ablation in the left ventricular summit region is a challenging procedure due to proximity to the coronary arteries. Pulsed field ablation, a novel non-thermal ablation modality, does...
2.
Nagyova E, Hoorntje E, Te Rijdt W, Bosman L, Syrris P, Protonotarios A, et al.
J Cardiovasc Transl Res
. 2023 Jul;
16(6):1276-1286.
PMID: 37418234
The presence of multiple pathogenic variants in desmosomal genes (DSC2, DSG2, DSP, JUP, and PKP2) in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) has been linked to a severe phenotype....
3.
de Brouwer R, Te Rijdt W, Hoorntje E, Amin A, Asselbergs F, Cox M, et al.
Eur Heart J
. 2023 May;
44(40):4284-4287.
PMID: 37210081
No abstract available.
4.
Cadrin-Tourigny J, Bosman L, Nozza A, Wang W, Tadros R, Bhonsale A, et al.
Eur Heart J
. 2022 Apr;
43(32):e1-e9.
PMID: 35441664
Aims: Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC) is characterized by ventricular arrhythmias (VAs) and sudden cardiac death (SCD). We aimed to develop a model for individualized prediction of incident VA/SCD in...
5.
Roudijk R, Verheul L, Bosman L, Bourfiss M, Breur J, Slieker M, et al.
JACC Clin Electrophysiol
. 2022 Mar;
8(3):306-318.
PMID: 35331425
Objectives: The goal of this study was to describe characteristics, cascade screening results, and predictors of adverse outcome in pediatric-onset arrhythmogenic right ventricular cardiomyopathy (ARVC). Background: Although ARVC is increasingly...
6.
Boonstra M, Roudijk R, Brummel R, Kassenberg W, Blom L, Oostendorp T, et al.
Ann Biomed Eng
. 2022 Jan;
50(3):343-359.
PMID: 35072885
Inverse electrocardiography (iECG) estimates epi- and endocardial electrical activity from body surface potentials maps (BSPM). In individuals at risk for cardiomyopathy, non-invasive estimation of normal ventricular activation may provide valuable...
7.
Roudijk R, Boonstra M, Brummel R, Kassenberg W, Blom L, Oostendorp T, et al.
Front Physiol
. 2021 Oct;
12:730736.
PMID: 34671274
This study presents a novel non-invasive equivalent dipole layer (EDL) based inverse electrocardiography (ECG) technique which estimates both endocardial and epicardial ventricular activation sequences. We aimed to quantitatively compare our...
8.
Bosman L, Nielsen Gerlach C, Cadrin-Tourigny J, Orgeron G, Tichnell C, Murray B, et al.
Europace
. 2021 Sep;
24(2):296-305.
PMID: 34468736
Aims: Arrhythmogenic right ventricular cardiomyopathy (ARVC) patients have an increased risk of ventricular arrhythmias (VA). Four implantable cardioverter-defibrillator (ICD) recommendation algorithms are available The International Task Force Consensus ('ITFC'), an...
9.
Kirkels F, Bosman L, Taha K, Cramer M, van der Heijden J, Hauer R, et al.
JACC Cardiovasc Imaging
. 2021 Aug;
14(12):2481-2483.
PMID: 34419408
No abstract available.
10.
van de Leur R, Taha K, Bos M, van der Heijden J, Gupta D, Cramer M, et al.
Circ Arrhythm Electrophysiol
. 2021 Jan;
14(2):e009056.
PMID: 33401921
Background: ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex...