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Parametric mapping using cardiovascular magnetic resonance for the differentiation of light chain amyloidosis and transthyretin-related amyloidosis.
Kravchenko, Dmitrij; Isaak, Alexander; Zimmer, Sebastian; Öztürk, Can; Mesropyan, Narine; Bischoff, Leon M; Voigt, Marilia; Ginzburg, Daniel; Attenberger, Ulrike; Pieper, Claus C; Kuetting, Daniel; Luetkens, Julian A.
Affiliation
  • Kravchenko D; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Isaak A; Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
  • Zimmer S; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Öztürk C; Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
  • Mesropyan N; Department of Internal Medicine II-Cardiology, University Hospital Bonn, Bonn, Germany.
  • Bischoff LM; Department of Internal Medicine II-Cardiology, University Hospital Bonn, Bonn, Germany.
  • Voigt M; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Ginzburg D; Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
  • Attenberger U; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Pieper CC; Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
  • Kuetting D; Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
  • Luetkens JA; Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Article in En | MEDLINE | ID: mdl-38912832
ABSTRACT

AIMS:

To evaluate different cardiovascular magnetic resonance (CMR) parameters for the differentiation of light chain amyloidosis (AL) and transthyretin-related amyloidosis (ATTR). METHODS AND

RESULTS:

In total, 75 patients, 53 with cardiac amyloidosis (20 patients with AL (66±12 years, 14 males [70%]) and 33 patients with ATTR (78±5 years, 28 males [88%])) were retrospectively analyzed regarding CMR parameters such as T1 and T2 mapping, extracellular volume (ECV), and late gadolinium enhancement (LGE) distribution patterns, and myocardial strain, and compared to a control cohort with other causes of left ventricular hypertrophy (LVH; 22 patients (53±16 years, 17 males [85%])). One way-ANOVA and receiver operating characteristic analysis were used for statistical analysis. ECV was the single best parameter to differentiate between cardiac amyloidosis and controls (area under the curve [AUC] 0.97, 95% confidence intervals [CI] 0.89-0.99, p<.0001, cutoff >30%). T2 mapping was the best single parameter to differentiate between AL and ATTR amyloidosis (AL 63±4 ms, ATTR 58±2 ms, p<.001, AUC 0.86, 95% CI 0.74-0.94, cutoff >61 ms). Subendocardial LGE was predominantly observed in AL patients (10/20 [50%] vs. 5/33 [15%]; p=.002). Transmural LGE was predominantly observed in ATTR patients (23/33 [70%] vs. 2/20 [10%]; p<.001). The diagnostic performance of T2 mapping to differentiate between AL and ATTR amyloidosis was further increased with the inclusion of LGE patterns (AUC 0.96, 95% CI 0.86-0.99]; p=.05).

CONCLUSION:

ECV differentiates cardiac amyloidosis from other causes of LVH. T2 mapping combined with LGE differentiates AL from ATTR amyloidosis with high accuracy on a patient level.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Heart J Cardiovasc Imaging Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Heart J Cardiovasc Imaging Year: 2024 Document type: Article Affiliation country: Country of publication: