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Multimodality imaging of the ischemic right ventricle: an overview and proposal of a diagnostic algorithm.
Malagoli, A; Albini, A; Mandoli, G E; Baggiano, A; Vinco, G; Bandera, F; D'Andrea, A; Esposito, R; D'Ascenzi, F; Sorrentino, R; Santoro, C; Benfari, G; Contorni, F; Cameli, M.
Afiliación
  • Malagoli A; Division of Cardiology, Nephro-Cardiovascular Department, Baggiovara Hospital, University of Modena and Reggio Emilia, Modena, Italy. ale.malagoli@gmail.com.
  • Albini A; Division of Cardiology, Nephro-Cardiovascular Department, Policlinico University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy.
  • Mandoli GE; Department of Cardiovascular Diseases, University of Siena, Siena, Italy.
  • Baggiano A; Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy.
  • Vinco G; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
  • Bandera F; Department of Medicine, University of Verona, Verona, Italy.
  • D'Andrea A; Cardiology University Department, Heart Failure Unit, Department of Biomedical Sciences for Health, IRCCS, Policlinico San Donato, San Donato Milanese, Milan, Italy.
  • Esposito R; Department of Biomedical Sciences for Health, University of Milano, Milan, Italy.
  • D'Ascenzi F; Division of Cardiology, Umberto I' Hospital Nocera Inferiore (Salerno), Luigi Vanvitelli University, Caserta, Italy.
  • Sorrentino R; Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy.
  • Santoro C; Department of Cardiovascular Diseases, University of Siena, Siena, Italy.
  • Benfari G; Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy.
  • Contorni F; Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy.
  • Cameli M; Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy.
Int J Cardiovasc Imaging ; 37(11): 3343-3354, 2021 Nov.
Article en En | MEDLINE | ID: mdl-34114150
ABSTRACT
Right ventricular (RV) involvement is frequently detected in patients presenting with acute left ventricular myocardial infarction. The ischemic right ventricle carries a dismal outcome by predisposing the heart to arrhythmic events and mechanical or hemodynamic complications. A comprehensive RV evaluation by multimodality imaging could guide clinical practice but has always been a conundrum for the imagers. Two-dimensional echocardiography is the best first-line tool due to its availability of bedside capabilities. More advanced imaging techniques provide a more comprehensive evaluation of the complex RV geometry but are mostly reserved for the post-acute setting. Three-dimensional echocardiography has improved the evaluation of RV volumes and function. The recent application of speckle-tracking echocardiography to the right ventricle appears promising, allowing the earlier detection of subtle RV dysfunction. Cardiac magnetic resonance imaging is considered the gold standard for the RV assessment. Cardiac multidetector computed tomography could be a reliable alternative. The aim of this review is to focus on the growing importance of multimodality imaging of the ischemic right ventricle and to propose a diagnostic algorithm, in order to reach a comprehensive assessment of this too frequently neglected chamber.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disfunción Ventricular Derecha / Ecocardiografía Tridimensional Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Int J Cardiovasc Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Disfunción Ventricular Derecha / Ecocardiografía Tridimensional Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Int J Cardiovasc Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Italia