Liver Iron Content Determination Using a Volumetric Breath-Hold Gradient-Echo Sequence With In-Line R 2 Calculation

Liver iron overload is a serious condition occurring in patients requiring blood transfusions (eg, in thalassemia and different forms of anemia) or with dysfunctional iron resorption, since there is no physiological mechanism to excrete iron. Above a certain level of iron concentration, chelation th...

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Veröffentlicht in:Journal of magnetic resonance imaging 2020-11, Vol.52 (5), p.1550-1556
Hauptverfasser: Wunderlich, Arthur P, Schmidt, Stefan A, Mauro, Valeria, Kneller, Lena, Kannengießer, Stephan, Beer, Meinrad, Cario, Holger
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Sprache:eng
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Zusammenfassung:Liver iron overload is a serious condition occurring in patients requiring blood transfusions (eg, in thalassemia and different forms of anemia) or with dysfunctional iron resorption, since there is no physiological mechanism to excrete iron. Above a certain level of iron concentration, chelation therapy is indicated. To monitor therapy success, liver iron content should be assessed regularly. A noninvasive method is important for patient management. Existing MRI methods suffer from long acquisition times and cost. To study the correlation of liver iron content (LIC) reference values to liver R * determined using a 3D breath-hold multigradient echo (GRE) MRI sequence, employing accelerated acquisition by parallel imaging and in-line R * calculation. Prospective. In all, 117 patients (22.1 ± 14.1 years, 66 men) suspected of iron overload. GRE. 1.5T. For comparison, a regulatory-approved method with a considerably longer scan time was used, providing LIC reference values. Participants were divided into a calibration group (65 participants), analyzed independently by two observers, and a validation group (52 participants). Linear correlation parameters were evaluated for R * values with LIC reference values, and for LIC determined from R * for validation group participants with LIC reference values. Sensitivity/specificity for clinical relevant LIC thresholds were analyzed. Interobserver variability was determined by intraclass correlation coefficient (ICC). Interobserver agreement was excellent, with an ICC of 0.99, P 
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.27185