Patrizio Pascale
Overview
Explore the profile of Patrizio Pascale including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
109
Citations
922
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Guglielmo M, Arangalage D, Bonino M, Angelini G, Bonanni M, Pontone G, et al.
J Cardiovasc Magn Reson
. 2023 Jun;
25(1):32.
PMID: 37316826
Objectives: The identification of patients with mitral valve prolapse (MVP) presenting high arrhythmic risk remains challenging. Cardiovascular Magnetic Resonance (CMR) feature tracking (FT) may improve risk stratification. We analyzed the...
12.
van der Ree M, Luca A, Herrera Siklody C, Le Bloa M, Pascale P, Porretta A, et al.
Heart Rhythm
. 2023 May;
20(8):1206-1207.
PMID: 37225114
No abstract available.
13.
Domenichini G, Carroz P, Pruvot E, Pascale P
Cardiol J
. 2023 Mar;
30(1):161-162.
PMID: 36861934
No abstract available.
14.
Skalidis I, Lu H, Antiochos P, Pitta Gros B, Auberson D, Domenichini G, et al.
Rev Med Suisse
. 2023 Jan;
19(N° 809-10):16-24.
PMID: 36660831
The year of 2022 was marked by many novelties in the fields of interventional cardiology, heart failure, electrophysiology, cardiac imaging, and congenital heart disease. These advances will certainly change our...
15.
Pagnoni M, Meier D, Luca A, Fournier S, Aminfar F, Gentil P, et al.
Front Cardiovasc Med
. 2022 Nov;
9:1065221.
PMID: 36330011
[This corrects the article DOI: 10.3389/fcvm.2022.910693.].
16.
Pavon A, Kamani C, Delabays A, Pasche A, Pascale P
J Nucl Cardiol
. 2022 Oct;
29(6):2820-2822.
PMID: 36253607
No abstract available.
17.
McCann A, Luca A, Pascale P, Pruvot E, Vesin J
Front Physiol
. 2022 Oct;
13:1001060.
PMID: 36246141
Signal processing tools are required to efficiently analyze data collected in body-surface-potential map (BSPM) recordings. A limited number of such tools exist for studying persistent atrial fibrillation (persAF). We propose...
18.
Pagnoni M, Meier D, Luca A, Fournier S, Aminfar F, Gentil P, et al.
Front Cardiovasc Med
. 2022 Sep;
9:910693.
PMID: 36148076
Background: Studies suggest that performing an electrophysiological study (EPS) may be useful to identify patients with new-onset left bundle branch block (LBBB) post-TAVR at risk of atrioventricular block. However, tools...
19.
Marchetti M, Pascale P, Muller O, Lu H
Ann Cardiol Angeiol (Paris)
. 2022 Sep;
71(4):223-227.
PMID: 36089416
Arrhythmogenic right ventricular cardiomyopathy is a hereditary myocardial condition in most cases that affects the right ventricle, but also the left ventricle with variable degree. It predisposes patients to ventricular...
20.
Prudat Y, Luca A, Yazdani S, Derval N, Jais P, Roten L, et al.
BMC Med Inform Decis Mak
. 2022 Aug;
22(1):225.
PMID: 36031620
Background And Objective: The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs) during atrial fibrillation (AF) is challenging considering their various amplitudes, morphologies and cycle length. Activation...