{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T08:06:08Z","timestamp":1792829168194,"version":"4.5.0"},"reference-count":20,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/N011007\/1"],"award-info":[{"award-number":["MR\/N011007\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["209450\/Z\/17\/Z"],"award-info":[{"award-number":["209450\/Z\/17\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Norwegian Research Council","doi-asserted-by":"publisher","award":["32481"],"award-info":[{"award-number":["32481"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Welcome EPSRC Centre for Medical Engineering at King\u2019s College London","award":["WT 203148\/Z\/16\/Z"],"award-info":[{"award-number":["WT 203148\/Z\/16\/Z"]}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014461","name":"Biomedical Research Centre","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014461","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000380","name":"Guy\u2019s and St Thomas\u2019 NHS Foundation Trust","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000380","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012980","name":"King\u2019s College","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100012980","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000761","name":"Imperial College London","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014461","name":"NIHR BRC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014461","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The Royal Brompton CRC and NIHR BRU, Alexander Jansons Foundation, and the BHF","award":["FS\/15\/29\/31492"],"award-info":[{"award-number":["FS\/15\/29\/31492"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,21]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Aims<\/jats:title>\n                  <jats:p>Remodelling of the left ventricular (LV) shape is one of the hallmarks of non-ischaemic dilated cardiomyopathy (DCM) and may contribute to ventricular arrhythmias and sudden cardiac death. We sought to investigate a novel three dimensional (3D) shape analysis approach to quantify LV remodelling for arrhythmia prediction in DCM.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results<\/jats:title>\n                  <jats:p>We created 3D LV shape models from end-diastolic cardiac magnetic resonance images of 156 patients with DCM and late gadolinium enhancement (LGE). Using the shape models, principle component analysis, and Cox-Lasso regression, we derived a prognostic LV arrhythmic shape (LVAS) score which identified patients who reached a composite arrhythmic endpoint of sudden cardiac death, aborted sudden cardiac death, and sustained ventricular tachycardia. We also extracted geometrical metrics to look for potential prognostic markers. During a follow-up period of up to 16 years (median 7.7, interquartile range: 3.9), 25 patients met the arrhythmic endpoint. The optimally prognostic LV shape for predicting the time-to arrhythmic event was a paraboloidal longitudinal profile, with a relatively wide base. The corresponding LVAS was associated with arrhythmic events in univariate Cox regression (hazard ratio = 2.0 per quartile; 95% confidence interval: 1.3\u20132.9), in univariate Cox regression with propensity score adjustment, and in three multivariate models; with LV ejection fraction, New York Heart Association Class III\/IV (Model 1), implantable cardioverter-defibrillator receipt (Model 2), and cardiac resynchronization therapy (Model 3).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Biomarkers of LV shape remodelling in DCM can help to identify the patients at greatest risk of lethal ventricular arrhythmias.<\/jats:p>\n               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