In silico analysis of the relation between conventional and high‐power short‐duration RF ablation settings and resulting lesion metrics.
Background: Use of lesion metric indices is a proposed strategy to support pulmonary vein isolation procedures and these indices show good correlations with lesion sizes. The aim of this in silico study is to provide a detailed analysis of radiofrequency (RF) settings, including high‐power short‐dur...
| Publicado en: | Journal of Cardiovascular Electrophysiology Vol. 31; no. 6; pp. 1332 - 1340 |
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| Autores principales: | , , , , , , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143548653&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143548653 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10453873 GSB jtl: Journal of Cardiovascular Electrophysiology issn: 10453873 maglogo: Y pubinfo: dt: Jun2020 vid: 31 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 143548653 143548653 145813842 143548653 10.1111/jce.14495 143548653 ppf: 1332 ppct: 8 formats: fmt: @attributes: type: P tig: atl: In silico analysis of the relation between conventional and high‐power short‐duration RF ablation settings and resulting lesion metrics. aug: au: Bourier, Felix Vlachos, Konstantinos Frontera, Antonio Martin, Claire A. Lam, Anna Takigawa, Masateru Kitamura, Takeshi Cheniti, Ghassen Duchateau, Josselin Pambrun, Thomas Derval, Nicolas Denis, Arnaud Cochet, Hubert Hocini, Mélèze Sacher, Frédéric Haïssaguerre, Michel Jaïs, Pierre affil: Electrophysiology and Ablation Unit, Bordeaux University Hospital (CHU), Bordeaux, France sug: subj: Pulmonary Veins Surgery Radiofrequency Ablation Methods Algorithms Human Descriptive Statistics Virtual Reality Software Comparative Studies Computer Simulation Models, Statistical Scales Biomechanics ab: Background: Use of lesion metric indices is a proposed strategy to support pulmonary vein isolation procedures and these indices show good correlations with lesion sizes. The aim of this in silico study is to provide a detailed analysis of radiofrequency (RF) settings, including high‐power short‐duration (HPSD) settings, and resulting lesion metric indices. Methods and Results: A software program was designed which simulated virtual RF ablations. Lesion metric indices (Ablation index: AI, Lesion size index: LSI) were calculated based on underlying RF settings (contact force [CF], power, duration). In series of calculations, the applied settings were varied within defined ranges (CF: 1‐80 g, power: 1‐60 W, duration: 1‐60 seconds). Overall, n = 388 000 virtual ablations were calculated. The resulting lesion metric indices were compared with each other and analyzed in relation to respective RF settings. Increasing contact force from 1 to 10 g resulted in a 4.4‐fold LSI value, whilst increasing contact force from 10 to 20g resulted in a 1.5‐fold value (P <.01). When RF power was increased by 10 W, lesion metric indices increased between 1.3‐ and 1.6‐fold. A prolongation of RF duration by 10 seconds resulted in a 1.2‐to‐1.3‐fold increase of lesion metric indices. HPSD RF applications of 50 W, 11 to 13 seconds, and 60 W, 8 to 10 seconds resulted in equivalent lesion metric indices when compared with 30 W, 30 seconds conventional ablations. Conclusions: The findings support the clinical use of contact forces within a 10 to 20 g range. AI is more sensitive to RF duration, whereas LSI is more sensitive to contact force. HPSD RF settings can successfully be derived from lesion metric indices. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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