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

Area of Science:

• Cardiology
• Diagnostic Imaging
• Pathology

Background:

• Cardiac masses present complex diagnostic challenges in clinical cardiology.
• These masses are categorized as non-neoplastic, neoplastic (benign, malignant), and can arise within chambers or the pericardium.

Purpose of the Study:

• To propose a practical, step-by-step algorithm for evaluating cardiac lesions.
• To emphasize tailoring imaging protocols to individual patient needs and clinical scenarios.
• To highlight the importance of a multidisciplinary approach in diagnosing cardiac masses.

Main Methods:

• Utilizing a multiparametric diagnostic approach, integrating clinical features and multimodality imaging.
• Proposing a practical algorithm for evaluating cardiac lesions.
• Emphasizing the necessity of histological examination for definitive diagnosis.

Main Results:

• The heterogeneity and rarity of cardiac masses necessitate individualized diagnostic strategies.
• Modern imaging protocols require adaptation due to rapid technological advancements.
• A combined approach using different imaging techniques and multidisciplinary teamwork is crucial.

Conclusions:

• A structured, multimodal imaging algorithm is proposed for evaluating cardiac masses.
• Tailoring imaging techniques to patient-specific factors is paramount for effective diagnosis.
• Multidisciplinary collaboration enhances the diagnostic accuracy of cardiac lesions.