Evaluating Localization Algorithms for Outflow Tract Premature Ventricular Complexes in Patients Performed Ablation Therapy- Insights from a Single-Center Study

Evaluating Localization Algorithms for Outflow Tract Premature Ventricular Complexes in Patients Performed Ablation Therapy- Insights from a Single-Center Study | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 10 February 2025 V1 Latest version Share on Evaluating Localization Algorithms for Outflow Tract Premature Ventricular Complexes in Patients Performed Ablation Therapy- Insights from a Single-Center Study Authors : Ali Sezgin 0000-0003-0139-7962 [email protected] , Cem Coteli 0000-0001-5520-7103 , Ahmet Kivrak , Ugur Canpolat 0000-0002-4250-1706 , Necla Ozer , Hikmet Yorgun 0000-0001-7673-229X , Kudret Aytemir , and Hakan Ates Authors Info & Affiliations https://doi.org/10.22541/au.173920828.81827010/v1 242 views 113 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Introduction: Numerous algorithms have been published to estimate the origin of Premature Ventricular Complexes PVCs from the outflow tract, and many studies have compared them. However, a clear consensus on the best algorithm has not yet been established. We aim to assess and compare algorithms for locating the origin of Premature Ventricular Complexes (PVCs) in ECG recordings from patients undergoing outflow tract PVC ablation. Methods and Results: We analyzed ECG records from 116 patients who underwent successful PVC ablation from the outflow tract between June 1st, 2015, and June 30th, 2020. Of these patients, 53 had PVCs originating from the right ventricular outflow tract (RVOT), and 63 had PVCs originating from the left ventricular outflow tract (LVOT). R wave amplitude index in V1 combined with R wave deflection interval in V3, V2 transition ratio, V2S/V3R index, Transition Zone (TZ) İndex, Combined TZ and V2S/V3R index, S and R wave difference in V1 and V2 and R wave duration index and R/S wave amplitude index algorithms and their components were analyzed. The Combined TZ Index algorithm had the maximum sensitivity and negative predictive value, which were 90.48% and 85.37%, respectively. The R Wave Duration Index and R/S Amplitude Index algorithms had the highest specificity and positive predictive value, which were assessed at 98.11% and 94.74%, respectively. With the logistic regression analysis method, the “Y=8.436 – 2.036 x PVC TZ score- 0.06 x PVC V2 R wave duration + 4.661 x PVC V3 R wave amplitude - 1.958 x PVC V2 S wave amplitude” algorithm was created. In this algorithm, the value of the “Y” variable was accepted as >0.5 for LVOT. Conclusion: The Combined TZ Index algorithm had the maximum sensitivity and negative predictive value and the R Wave Duration Index and R/S Amplitude Index algorithms had the highest specificity and positive predictive value in our population (85.71%, 85.37%, 92.45%, 89.47% respectively). “Y=8.436 – 2.036 x PVC TZ score- 0.06 x PVC V2 R wave duration + 4.661 x PVC V3 R wave amplitude - 1.958 x PVC V2 S wave amplitude” algorithm predicts LVOT if Y>0.5. Supplementary Material File (evaluating localization algorithms for outflow tract premature ventricular complexes.docx) Download 459.74 KB Information & Authors Information Version history V1 Version 1 10 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords basic: computer modeling/simulations clinical: cardiac mapping – electrogram analysis clinical: non-invasive techniques – electrocardiography Authors Affiliations Ali Sezgin 0000-0003-0139-7962 [email protected] TC Saglik Bakanligi Ankara Etlik Sehir Hastanesi View all articles by this author Cem Coteli 0000-0001-5520-7103 Hacettepe Universitesi Tip Fakultesi View all articles by this author Ahmet Kivrak Hacettepe Universitesi Tip Fakultesi View all articles by this author Ugur Canpolat 0000-0002-4250-1706 Hacettepe Universitesi Tip Fakultesi View all articles by this author Necla Ozer Hacettepe Universitesi Tip Fakultesi View all articles by this author Hikmet Yorgun 0000-0001-7673-229X Hacettepe Universitesi Tip Fakultesi View all articles by this author Kudret Aytemir Hacettepe Universitesi Tip Fakultesi View all articles by this author Hakan Ates Hacettepe Universitesi Tip Fakultesi View all articles by this author Metrics & Citations Metrics Article Usage 242 views 113 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Ali Sezgin, Cem Coteli, Ahmet Kivrak, et al. Evaluating Localization Algorithms for Outflow Tract Premature Ventricular Complexes in Patients Performed Ablation Therapy- Insights from a Single-Center Study. Authorea . 10 February 2025. DOI: https://doi.org/10.22541/au.173920828.81827010/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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