{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T19:19:57Z","timestamp":1786821597281,"version":"build-2736575974"},"reference-count":23,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T00:00:00Z","timestamp":1540944000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cardiovasc electrophysiol"],"published-print":{"date-parts":[[2019,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The relationship between the local electrograms (EGMs) and wall thickness (WT) heterogeneity within infarct scars has not been thoroughly described. The relationship between WT and voltages and substrates for ventricular tachycardia (VT) was examined.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In 12 consecutive patients with myocardial infarction and VT, WT, defined by a multidetector computed tomography, and voltage were compared. In multicomponent EGMs, amplitudes of both far\u2010 and near\u2010field components were manually measured, and the performance of the three\u2010dimensional\u2010mapping system automatic voltage measurement was assessed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 15\u2009748 points acquired, 2677 points within 5\u2009mm of the endocardial surface were analyzed. In total, 909 (34.0%) multicomponent EGMs were identified; 785 (86.4%) and 883 (97.1%) were distributed in the WT less than 4 and 5\u2009mm, respectively. Far\u2010field EGM voltages increased linearly from 0.14\u2009mV (0.08\u20100.28\u2009mV) in the WT: 0 to 1\u2009mm to 0.70\u2009mV (0.43\u20102.62\u2009mV) in the WT: 4 to 5\u2009mm (\u03c1\u2009=\u20090.430; <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001), and a significant difference was demonstrated between any two WT\u2010groups (<jats:italic>P<\/jats:italic> \u2264 0.001). In contrast, near\u2010field EGM voltages varied from 0.27\u2009mV (0.11\u20100.44\u2009mV) in the WT: 0 to 1\u2009mm to 0.29\u2009mV (0.17\u20100.53\u2009mV) in the WT: 4 to 5\u2009mm with a poorer correlation (\u03c1\u2009=\u20090.062, <jats:italic>P<\/jats:italic>\u2009=\u20090.04). The proportion of points where the system automatically measured the voltage on near\u2010field EGMs increased from less than 10% in areas of WT: 4 to 5\u2009mm to 50% in areas less than 2\u2009mm. Of 21 VTs observed, seven hemodynamically stable VTs were mapped and terminated in WT: 1 to 4\u2009mm area.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Although far\u2010field voltages gradually increase with the WT, near\u2010field does not. The three\u2010dimensional\u2013mapping system preferentially annotates the near\u2010field components in thinner areas (center of the scar) and the far\u2010field component in thicker areas when building a voltage map. Critical sites of VT are distributed in WT: 1 to 4\u2009mm areas.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jce.13767","type":"journal-article","created":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T03:45:09Z","timestamp":1538797509000},"page":"195-204","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Detailed comparison between the wall thickness and voltages in chronic myocardial infarction"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8473-7514","authenticated-orcid":false,"given":"Masateru","family":"Takigawa","sequence":"first","affiliation":[{"name":"Bordeaux University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux 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France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3810-0635","authenticated-orcid":false,"given":"Takeshi","family":"Kitamura","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantinos","family":"Vlachos","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux 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University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9827-9465","authenticated-orcid":false,"given":"Anna","family":"Lam","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Pillois","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital (CHU), Cardiac Electrophysiology and Cardiac Stimulation Team, IHU Liryc, Electrophysiology and Heart Modeling Institute, fondation Bordeaux Universit\u00e9 Bordeaux 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