Diagnostic Algorithm Using Multimodal Imaging for the Differential Diagnosis of Intra-Cardiac Masses

Cardiac masses are complex clinical conditions that frequently pose diagnostic challenges in cardiology practice. These masses can form within heart chambers or near the pericardium and are generally categorized as either non-neoplastic or neoplastic. These latter are further classified into benign and malignant (primary and secondary or metastatic). Diagnosing these conditions often requires a multiparametric approach that includes both clinical features, such as the patient's and associated clinical conditions, and multimodality imaging. However, histological examination of the resected specimen is often necessary to ascertain the nature of the mass. Given their heterogeneity and the rarity of many cardiac masses, there are no guidelines or consensus on the best diagnostic approach. Modern imaging protocols must be tailored to the specific clinical issues and patient characteristics, given the rapid advancements in technology. Thus, it is imperative to use a multimodality approach, combining different imaging techniques and multidisciplinary teamwork. Hereby, we propose a practical algorithm for evaluating cardiac lesions using a step-by-step implementation of multimodal imaging. Ultimately, the goal is to tailor the most suitable imaging technique to the patient's needs.