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Giansante, Roberta

https://orcid.org/0009-0000-8130-0897

Mayo Clinic

University of Chieti-Pescara

Citations 2

Desmosomal Versus Non-Desmosomal Arrhythmogenic Cardiomyopathies: A State-of-the-Art Review
Galanti, Kristian , Iezzi, Lorena , Rizzuto, M, Falco, D. de , Negri, G., Pham, Hoang Nhat , Mansour, Davide , Giansante, Roberta , Mazzocchetti, L, Gallina, Sabina , Mantini, Cesare , Ricci, Fabrizio , Nhat, Hoang , Ricci, Fabrizio , Falco, Daniele, Negri, Giada , Stuppia, Liborio , Khanji, Mohammed Y , Chahal, C. Anwar A.

Cardiogenetics | August 4, 2025 | Volume: 15 | Issue: 3 | Pages: 22

10.3390/cardiogenetics15030022 Get It

Arrhythmogenic cardiomyopathies (ACMs) are a phenotypically and etiologically heterogeneous group of myocardial disorders characterized by fibrotic or fibro-fatty replacement of ventricular myocardium, electrical instability, and an elevated risk of sudden cardiac death. Initially identified as a right ventricular disease, ACMs are now recognized to include biventricular and left-dominant forms. Genetic causes account for a substantial proportion of cases and include desmosomal variants, non-desmosomal variants, and familial gene-elusive forms with no identifiable pathogenic mutation. Nongenetic etiologies, including post-inflammatory, autoimmune, and infiltrative mechanisms, may mimic the phenotype. In many patients, the disease remains idiopathic despite comprehensive evaluation. Cardiac magnetic resonance imaging has emerged as a key tool for identifying non-ischemic scar patterns and for distinguishing arrhythmogenic phenotypes from other cardiomyopathies. Emerging classifications propose the unifying concept of scarring cardiomyopathies based on shared structural substrates, although global consensus is evolving. Risk stratification remains challenging, particularly in patients without overt systolic dysfunction or identifiable genetic markers. Advances in tissue phenotyping, multi-omics, and artificial intelligence hold promise for improved prognostic assessment and individualized therapy.
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.