BACKGROUND. Cardiac amyloidosis is a serious progressive disease with a high mortality rate. Differentiation between AL and ATTR types of amyloidosis is critically important for choosing the optimal treatment. AIM. This study aims to evaluate the capabilities of cardiac MRI in the differential diagnosis of AL and ATTR amyloidosis. METHODS. A retrospective analysis of medical data from 25 patients with confirmed cardiac amyloidosis (12 with AL and 13 with ATTR) was conducted. These patients underwent contrast-enhanced cardiac MRI, and their structural parameters (particularly wall thickness and myocardial mass), ventricular function, and late gadolinium enhancement (LGE) patterns were assessed. Standard statistical methods were used, with p-values 0.05 considered significant. RESULTS. Patients with ATTR amyloidosis exhibited more pronounced myocardial wall thickening (LV septal wall 17.8±2.3 mm vs 13.8±2.4 mm, p0.01; LV posterior wall 14.2±2.4 mm vs 10.8±2.0 mm, p0.01) and greater LV myocardial mass (110±30 vs 83±17 g/m², p0.01) compared to those with AL amyloidosis. In ATTR amyloidosis, transmural LGE was more frequently observed in the basal and mid inferior-lateral segments of the left ventricle, while subendocardial LGE was more common in the mid anterior and inferior-lateral segments (p0.05). A distinguishing feature of ATTR was the simultaneous contrast uptake in subendocardial layers of both the LV and RV in the area of the interventricular septum (100% vs 50%, p0.01). RV LGE was more common in ATTR (100% vs 58%, p0.05), particularly in the interventricular septum and the inferior wall of the RV (p0.05). Quantitative assessment of LGE using the QALE scale showed more extensive enhancement in ATTR (13 [12;14] vs 10.5 [1.75;12], p0.01). A score of more than 13 allowed differentiation between the types of amyloidosis with a sensitivity of 69% and specificity of 83%. CONCLUSION. Cardiac MRI can identify characteristic differences between AL and ATTR amyloidosis, which may assist in their differential diagnosis. Further research is needed to confirm the diagnostic accuracy of the identified MRI features.
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