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C. Aldo Rinaldi
Researcher at King's College London
Publications - 101
Citations - 2330
C. Aldo Rinaldi is an academic researcher from King's College London. The author has contributed to research in topics: Cardiac resynchronization therapy & Heart failure. The author has an hindex of 26, co-authored 95 publications receiving 2133 citations. Previous affiliations of C. Aldo Rinaldi include National Health Service & Guy's and St Thomas' NHS Foundation Trust.
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Journal ArticleDOI
Invasive acute hemodynamic response to guide left ventricular lead implantation predicts chronic remodeling in patients undergoing cardiac resynchronization therapy.
Simon G. Duckett,Simon G. Duckett,Matthew Ginks,Matthew Ginks,Anoop Shetty,Anoop Shetty,Julian Bostock,Jaswinder Gill,Shoaib Hamid,Stam Kapetanakis,Eliane Cunliffe,Reza Razavi,Reza Razavi,Gerry Carr-White,C. Aldo Rinaldi,C. Aldo Rinaldi +15 more
TL;DR: Using AHR to guide LV lead positioning and improve response rates is useful for predicting which patients are likely to remodel in response to CRT both for dilated cardiomyopathy and ischemic carduomyopathy.
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Acute pulmonary vein isolation is achieved by a combination of reversible and irreversible atrial injury after catheter ablation: evidence from magnetic resonance imaging.
Aruna Arujuna,Rashed Karim,Dennis Caulfield,Benjamin R. Knowles,Kawal Rhode,Tobias Schaeffter,Bernet S. Kato,C. Aldo Rinaldi,Michael Cooklin,Reza Razavi,Mark D O'Neill,Jaswinder Gill +11 more
TL;DR: The higher T2 signal on acute scans and greater decline in DE on chronic imaging in patients with recurrences suggest that they have more reversible tissue injury, providing a potential mechanism for pulmonary vein reconnection, resulting in arrhythmia recurrence.
Journal ArticleDOI
Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia
Jatin Relan,Phani Chinchapatnam,Maxime Sermesant,Kawal Rhode,Matthew Ginks,Hervé Delingette,C. Aldo Rinaldi,Reza Razavi,Nicholas Ayache +8 more
TL;DR: A coupled personalization framework is presented that combines the power of the two kinds of models while keeping the computational complexity tractable and opens up possibilities of using VT induction modelling in order to both assess the risk of VT for a given patient and also to plan a potential subsequent radio-frequency ablation strategy to treat VT.
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Myocardial tissue characterization by cardiac magnetic resonance imaging using T1 mapping predicts ventricular arrhythmia in ischemic and non–ischemic cardiomyopathy patients with implantable cardioverter-defibrillators
Zhong Chen,Manav Sohal,Tobias Ratko Voigt,Eva Sammut,Catalina Tobon-Gomez,Nicholas Child,Tom Jackson,Anoop Shetty,Julian Bostock,Michael Cooklin,Mark D O'Neill,Matthew Wright,Francis Murgatroyd,Jaswinder Gill,Gerry Carr-White,Amedeo Chiribiri,Tobias Schaeffter,Reza Razavi,C. Aldo Rinaldi +18 more
TL;DR: Quantitative myocardial tissue assessment using T1 mapping is an independent predictor of ventricular arrhythmia in both ischemic and non-ischemic cardiomyopathies.
Journal ArticleDOI
Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking
Gang Gao,Graeme P. Penney,YingLiang Ma,Nicolas Gogin,Pascal Yves François Cathier,Aruna Arujuna,Geraint Morton,Dennis Caulfield,Jaswinder Gill,C. Aldo Rinaldi,Jane Hancock,Simon Redwood,Martyn Thomas,Reza Razavi,Geert Gijsbers,Kawal Rhode +15 more
TL;DR: It is hypothesized that the real-time co-registration and visualization of 3D TEE and X-ray fluoroscopy data will provide a powerful guidance tool for cardiologists and is proposed a novel, robust and efficient method for performing this registration.