Multimodality Imaging in Sarcomeric Hypertrophic Cardiomyopathy: Get It Right…on Time

Area of Science:

• Cardiology
• Medical Imaging
• Genetics

Background:

• Hypertrophic cardiomyopathy (HCM) exhibits diverse progression patterns, making generalized treatment approaches potentially misleading.
• Accurate diagnosis and management necessitate understanding specific disease trajectories, including clinical features and imaging findings.

Purpose of the Study:

• To review current knowledge on multimodality imaging in sarcomeric HCM.
• To explore the potential of novel tools, including artificial intelligence (AI), in managing HCM.
• To highlight the significance of specific indicators for understanding phenotype-genotype correlations.

Main Methods:

• Review of current literature on multimodality imaging in HCM.
• Discussion of artificial intelligence applications in cardiovascular imaging.
• Analysis of progression patterns and clinical features in HCM.

Main Results:

• Multimodality imaging is crucial for differentiating HCM phenocopies and guiding management.
• AI and advanced imaging techniques show promise for diagnosis, clinical management, and prognosis.
• Barriers like optimal imaging timing and standardization of reference limits remain.

Conclusions:

• A personalized, multimodality imaging strategy is essential for effective HCM management.
• Integrating AI and specific imaging markers can enhance understanding of HCM phenotype-genotype linkages.
• Further standardization and research are needed to overcome current challenges in HCM imaging.