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Review
. 2025 Nov-Dec:93:21-29.
doi: 10.1016/j.pcad.2025.11.001. Epub 2025 Nov 4.

Multimodality imaging approaches for diagnosis of cardiac amyloidosis

Chaitanya Rojulpote  1 , Sarah A M Cuddy  1 , Marie Foley Kijewski  2 , Sharmila Dorbala  3
Affiliations
Review

Multimodality imaging approaches for diagnosis of cardiac amyloidosis

Chaitanya Rojulpote et al. Prog Cardiovasc Dis. 2025 Nov-Dec.

Abstract

Cardiac amyloidosis is increasingly recognized as an underdiagnosed cause of heart failure. This review article provides an overview of the role of multimodality cardiovascular imaging in raising the suspicion of cardiac amyloidosis, confirming the diagnosis, providing risk assessment and detection of myocardial changes in response to therapy. The clinical use of multimodality imaging in diagnosing cardiac amyloidosis is illustrated through a case-based approach. Finally, the emerging role of cardiac positron emission tomography as well as artificial intelligence in cardiac amyloidosis is discussed.

Keywords: Amyloid PET radiotracers; Artificial intelligence; Cardiac amyloidosis; Cardiac magnetic resonance imaging; Echocardiography; Multimodality imaging; Tc-99 m-PYP/DPD/HMDP.

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Conflict of interest statement

Declaration of competing interest Rojulpote: Grant support from NIH T32HL094301. Cuddy: Grant support from NIH K23HL166686 and AHA 23CDA857664; personal (speaking/consulting) fees from Pfizer, Bridgebio, Ionis, AstraZeneca, Alexion, Novo-Nordisk, Life Molecular Imaging, Attralus. Dorbala: Consulting fees: Pfizer, GE Health Care, MedTrace; Research funds: Attralus, GE healthcare, Pfizer, Siemens, BridgeBio, Astrazeneca. NIH research support: K24 HL157648, R01HL159987, R01HL150342.

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