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Jacob, Ron

https://orcid.org/0000-0002-1626-1120

Mayo Clinic

Lancaster General Hospital

Citations 1

Dilated Cardiomyopathy Evaluation with Imagenomics: Combining Multimodal Cardiovascular Imaging and Genetics
Galanti, Kristian , Dabbagh, Ghaith Sharaf , Ricci, Fabrizio , Gallina, Sabina, Giansante, Roberta , Jacob, Ron , Obeng‐Gyimah, Edmond, Prasad, Sanjay , Birnie, David H. , Landstrom, Andrew P. , Mohammed, Selma F. , Landstrom, Andrew P , Mohammed, Selma , Mohiddin, Saidi , Khanji, Mohammed Yunus , Chahal, Choudhary Anwar A , Sharaf Dabbagh, Ghaith , Ricci, Fabrizio , Gallina, Sabina , Jacob, Ron, Cooper, Leslie T. , Prasad, Sanjay K , Khanji, Mohammed Y , Chahal, C. Anwar A.

ESC Heart Failure | April 25, 2025 | Volume: 12 | Issue: 4 | Pages: 2669-2690

10.1002/ehf2.15307 Get It

Abstract Dilated cardiomyopathy (DCM) is a clinical diagnosis characterized by the presence of left ventricular dilatation and systolic dysfunction unexplained by abnormal loading conditions or coronary artery disease. However, a broad range of phenotypic manifestations, encompassing isolated scar, DCM with preserved ejection fraction, and overt DCM, should be regarded as a diagnostic classification representing a broad spectrum of underlying aetiologies, including both inherited and acquired heart muscle disorders. A multimodal non-invasive imaging approach is essential for accurate morpho-functional assessment of cardiac chambers and is key to establish the cardiac phenotype and to rule out an underlying ischaemic aetiology. Furthermore, advanced imaging techniques enable deep cardiovascular phenotyping and non-invasive tissue characterization. The aim of this review is to propose a systematic approach to the diagnosis of DCM, emphasizing the importance of genetics and clinical findings for a precise and practical clinical approach. Also, we strive to qualify the role of cardiac imaging in the diagnosis of DCM, particularly on the relevance of novel techniques and clinical utility of actionable parameters to improve current diagnostic schemes and risk stratification algorithms. We further elaborate on the role of cardiac imaging to deliver optimal guidance to aetiology-based therapeutic approaches, verification of treatment response and disease progression monitoring.