Guanyu Lu, Liqi Cao, Weitao Ye, Xiaoyu Wei, Jiajun Xie, Zhicheng Du, Xinyue Zhang, Xinyi Luo, Jiehao Ou, Qianhuan Zhang, Yang Liu, Yuelong Yang, Hui Liu
Purpose To explore the role of cardiac MRI feature tracking (FT) and T1 mapping in predicting sustained ventricular arrhythmias (VA) in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and to investigate their possible incremental value beyond ARVC risk score. Materials and Methods The retrospective study analyzed 91 patients with ARVC (median age, 36 years [IQR, 27-50 years]; 60 male, 31 female) who underwent cardiac MRI examinations between November 2010 and March 2022. The primary end point was the first occurrence of sustained VA after cardiac MRI to first VA, with censoring of patients who were alive without VA at last follow-up. Cox regression analysis was performed to assess the association between variables and time to sustained VA. Time-dependent receiver operating characteristic (ROC) analysis was performed to determine the incremental value of cardiac MRI FT and T1 mapping. Results During a median follow-up of 55.0 months (IQR, 37.0-76.0 months), 36 of 91 (40%) patients experienced sustained VA. A 1% worsening in left ventricular global longitudinal peak strain (GLS), 1% worsening in right ventricular GLS, and a 1% increase in extracellular volume fraction (ECV) were associated with increased risk of sustained VA, with hazard ratios of 1.14 (95% CI: 1.06, 1.23; P = .001), 1.09 (95% CI: 1.02, 1.16; P = .02), and 1.13 (95% CI: 1.08, 1.18; P < .001), respectively, after adjustment for ARVC risk score. Adding both biventricular GLS and ECV to ARVC risk score showed significant incremental value for predicting sustained VA (area under the ROC curve: 0.73 vs 0.65; P < .001). Conclusion Cardiac MRI-derived biventricular GLS and ECV provided independent and incremental value for predicting sustained VA beyond ARVC risk score alone in patients with ARVC. Keywords: Cardiovascular MRI, Feature Tracking, T1 Mapping, Arrhythmogenic Right Ventricular Cardiomyopathy, Sustained Ventricular Arrhythmias Supplemental material is available for this article Published under a CC BY 4.0 license.
{"title":"Incremental Prognostic Value of Cardiac MRI Feature Tracking and T1 Mapping in Arrhythmogenic Right Ventricular Cardiomyopathy.","authors":"Guanyu Lu, Liqi Cao, Weitao Ye, Xiaoyu Wei, Jiajun Xie, Zhicheng Du, Xinyue Zhang, Xinyi Luo, Jiehao Ou, Qianhuan Zhang, Yang Liu, Yuelong Yang, Hui Liu","doi":"10.1148/ryct.230430","DOIUrl":"https://doi.org/10.1148/ryct.230430","url":null,"abstract":"<p><p>Purpose To explore the role of cardiac MRI feature tracking (FT) and T1 mapping in predicting sustained ventricular arrhythmias (VA) in patients with arrhythmogenic right ventricular cardiomyopathy (ARVC) and to investigate their possible incremental value beyond ARVC risk score. Materials and Methods The retrospective study analyzed 91 patients with ARVC (median age, 36 years [IQR, 27-50 years]; 60 male, 31 female) who underwent cardiac MRI examinations between November 2010 and March 2022. The primary end point was the first occurrence of sustained VA after cardiac MRI to first VA, with censoring of patients who were alive without VA at last follow-up. Cox regression analysis was performed to assess the association between variables and time to sustained VA. Time-dependent receiver operating characteristic (ROC) analysis was performed to determine the incremental value of cardiac MRI FT and T1 mapping. Results During a median follow-up of 55.0 months (IQR, 37.0-76.0 months), 36 of 91 (40%) patients experienced sustained VA. A 1% worsening in left ventricular global longitudinal peak strain (GLS), 1% worsening in right ventricular GLS, and a 1% increase in extracellular volume fraction (ECV) were associated with increased risk of sustained VA, with hazard ratios of 1.14 (95% CI: 1.06, 1.23; <i>P</i> = .001), 1.09 (95% CI: 1.02, 1.16; <i>P</i> = .02), and 1.13 (95% CI: 1.08, 1.18; <i>P</i> < .001), respectively, after adjustment for ARVC risk score. Adding both biventricular GLS and ECV to ARVC risk score showed significant incremental value for predicting sustained VA (area under the ROC curve: 0.73 vs 0.65; <i>P</i> < .001). Conclusion Cardiac MRI-derived biventricular GLS and ECV provided independent and incremental value for predicting sustained VA beyond ARVC risk score alone in patients with ARVC. <b>Keywords:</b> Cardiovascular MRI, Feature Tracking, T1 Mapping, Arrhythmogenic Right Ventricular Cardiomyopathy, Sustained Ventricular Arrhythmias <i>Supplemental material is available for this article</i> Published under a CC BY 4.0 license.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142506965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lukas J Moser, Matthias Gutberlet, Rozemarijn Vliegenthart, Marco Francone, Ricardo P J Budde, Rodrigo Salgado, Maja Hrabak Paar, Maja Pirnat, Christian Loewe, Konstantin Nikolaou, Michelle C Williams, Giuseppe Muscogiuri, Luigi Natale, Robin F Gohmann, Christian Lücke, Matthias Eberhard, Hatem Alkadhi
Arved Bischoff, Oliver Weinheimer, Anja Dutschke, Roman Rubtsov, Hans-Ulrich Kauczor, Daniela Gompelmann, Ralf Eberhardt, Franziska Trudzinski, Claus P Heussel, Felix J F Herth, Mattias Heinrich, Fenja Falta, Mark O Wielpütz
Daniel B Fyenbo, Bjarne L Nørgaard, Philipp Blanke, Anders Sommer, Jade Duchscherer, Kelsey Kalk, Mads B Kronborg, Jesper M Jensen, Elliot R McVeigh, Victoria Delgado, Jonathon Leipsic, Jens C Nielsen
André Vaz, Kevin Rafael De Paula Morales, Eduardo Kaiser Ururahy Nunes Fonseca
{"title":"To-and-Fro Flow Equivalent at Dynamic CT Angiography of the Aorta.","authors":"André Vaz, Kevin Rafael De Paula Morales, Eduardo Kaiser Ururahy Nunes Fonseca","doi":"10.1148/ryct.240062","DOIUrl":"10.1148/ryct.240062","url":null,"abstract":"","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":null,"pages":null},"PeriodicalIF":3.8,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11369741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}