Arrhythmogenic substrate detection in chronic ischaemic patients undergoing ventricular tachycardia ablation using multidetector cardiac computed tomography: compared evaluation with cardiac magnetic resonance

Author:

Jáuregui Beatriz12,Soto-Iglesias David12,Zucchelli Giulio3,Penela Diego12,Ordóñez Augusto1,Terés Cheryl1,Chauca Alfredo1,Acosta Juan4,Fernández-Armenta Juan5,Linhart Markus6,Perea Rosario J2,Prat-González Susana2,Bosch Xavier2,Ortiz-Pérez José T2,Mont Lluís2,Berruezo Antonio12ORCID

Affiliation:

1. Heart Institute, Teknon Medical Center, C/Vilana, 12, 08022 Barcelona, Spain

2. Clinic Cardiovascular Institute, Hospital Clínic, C/Villarroel, 170, 08036 Barcelona, Spain

3. Cardiac Thoracic and Vascular Department, Azienda Ospedaliero-Universitaria Pisana, Via Roma, 67, 56126 Pisa, Italy

4. Arrhythmia Unit, Hospital Universitario Virgen del Rocío, Avda. Manuel Siurot, s/n, 41013, Sevilla, Spain

5. Arrhythmia Unit, Hospital Puerta del Mar, Avda. Ana de Viya, 21, 11009 Cádiz, Spain

6. Arrhythmia Section, University Hospital of Girona Dr. Josep Trueta, Avda. de Francia, s/n, 17007, Girona, Spain

Abstract

Abstract Aims Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) permits characterizing ischaemic scars, detecting heterogeneous tissue channels (HTCs) which constitute the arrhythmogenic substrate (AS). Late gadolinium enhancement cardiac magnetic resonance also improves the arrhythmia-free survival when used to guide ventricular tachycardia (VT) substrate ablation. However, its availability may be limited. We sought to evaluate the performance of multidetector cardiac computed tomography (MDCT) imaging in identifying HTCs detected by LGE-CMR in ischaemic patients undergoing VT substrate ablation. Methods and results Thirty ischaemic patients undergoing both LGE-CMR and MDCT before VT substrate ablation were included. Using a dedicated post-processing software, two blinded operators, assigned either to LGE-CMR or MDCT analysis, characterized the presence of CMR and computed tomography (CT) channels, respectively. Cardiac magnetic resonance channels were classified as endocardial (layers < 50%), epicardial (layers ≥ 50%), or transmural. Cardiac magnetic resonance- vs. CT-channel concordance was considered when showing the same orientation and American Heart Association (AHA) segment. Mean age was 69 ± 10 years; 90% were male. Mean left ventricular ejection fraction was 35 ± 10%. All patients had CMR channels (n = 76), whereas only 26/30 (86.7%) had CT channels (n = 91). Global sensitivity (Se) and positive predictive values for detecting CMR channels were 61.8% and 51.6%, respectively. MDCT performance improved in patients with epicardial CMR channels (Se 80.5%) and transmural scars (Se 72.2%). In 4/11 (36%) patients with subendocardial myocardial infarction (MI), MDCT was unable to identify the AS. Conclusions Compared to LGE-CMR, myocardial wall thickness assessment using MDCT fails to detect the presence of AS in 36% of patients with subendocardial MI, showing modest sensitivity identifying HTCs but a better performance in patients with transmural scars.

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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