OBJECTIVES: To evaluate MRI using T1 and T2* mapping sequences in patients with suspected hepatic iron overload (HIO). METHODS: Twenty-five consecutive patients with clinically suspected HIO were retrospectively studied. All underwent MRI and liver biopsy. For the quantification of liver T2* values we used a fat-saturated multi-echo gradient echo sequence with 12 echoes (TR = 200 ms, TE = 0.99 ms + n × 1.41 ms, flip angle 20°). T1 values were obtained using a fast T1 mapping sequence based on an inversion recovery snapshot FLASH sequence. Parameter maps were analysed using regions of interest. RESULTS: ROC analysis calculated cut-off points at 10.07 ms and 15.47 ms for T2* in the determination of HIO with accuracy 88 %/88 %, sensitivity 84 %/89.5 % and specificity 100 %/83 %. MRI correctly classified 20 patients (80 %). All patients with HIO only had decreased T1 and T2* relaxation times. There was a significant difference in T1 between patients with HIO only and patients with HIO and steatohepatitis (P = 0.018). CONCLUSIONS: MRI-based T2* relaxation diagnoses HIO very accurately, even at low iron concentrations. Important additional information may be obtained by the combination of T1 and T2* mapping. It is a rapid, non-invasive, accurate and reproducible technique for validating the evidence of even low hepatic iron concentrations. KEY POINTS: • Hepatic iron overload causes fibrosis, cirrhosis and increases hepatocellular carcinoma risk. • MRI detects iron because of the field heterogeneity generated by haemosiderin. • T2* relaxation is very accurate in diagnosing hepatic iron overload. • Additional information may be obtained by T1 and T2* mapping.
OBJECTIVES: To evaluate MRI using T1 and T2* mapping sequences in patients with suspected hepatic iron overload (HIO). METHODS: Twenty-five consecutive patients with clinically suspected HIO were retrospectively studied. All underwent MRI and liver biopsy. For the quantification of liver T2* values we used a fat-saturated multi-echo gradient echo sequence with 12 echoes (TR = 200 ms, TE = 0.99 ms + n × 1.41 ms, flip angle 20°). T1 values were obtained using a fast T1 mapping sequence based on an inversion recovery snapshot FLASH sequence. Parameter maps were analysed using regions of interest. RESULTS: ROC analysis calculated cut-off points at 10.07 ms and 15.47 ms for T2* in the determination of HIO with accuracy 88 %/88 %, sensitivity 84 %/89.5 % and specificity 100 %/83 %. MRI correctly classified 20 patients (80 %). All patients with HIO only had decreased T1 and T2* relaxation times. There was a significant difference in T1 between patients with HIO only and patients with HIO and steatohepatitis (P = 0.018). CONCLUSIONS: MRI-based T2* relaxation diagnoses HIO very accurately, even at low iron concentrations. Important additional information may be obtained by the combination of T1 and T2* mapping. It is a rapid, non-invasive, accurate and reproducible technique for validating the evidence of even low hepatic iron concentrations. KEY POINTS: • Hepatic iron overload causes fibrosis, cirrhosis and increases hepatocellular carcinoma risk. • MRI detects iron because of the field heterogeneity generated by haemosiderin. • T2* relaxation is very accurate in diagnosing hepatic iron overload. • Additional information may be obtained by T1 and T2* mapping.
Authors: José M Alústiza; José Artetxe; Agustín Castiella; Cristina Agirre; José I Emparanza; Pedro Otazua; Manuel García-Bengoechea; Jesús Barrio; Fernando Mújica; José A Recondo Journal: Radiology Date: 2003-12-10 Impact factor: 11.105
Authors: Mark Westwood; Lisa J Anderson; David N Firmin; Peter D Gatehouse; Clare C Charrier; Beatrix Wonke; Dudley J Pennell Journal: J Magn Reson Imaging Date: 2003-07 Impact factor: 4.813
Authors: Gabriel C Camargo; Tamara Rothstein; Flavia P Junqueira; Elsa Fernandes; Andreas Greiser; Ralph Strecker; Viviani Pessoa; Ronaldo S L Lima; Ilan Gottlieb Journal: Int J Hematol Date: 2016-02-12 Impact factor: 2.490
Authors: B Henninger; H Zoller; S Rauch; M Schocke; S Kannengiesser; X Zhong; G Reiter; W Jaschke; C Kremser Journal: Eur Radiol Date: 2014-12-14 Impact factor: 5.315
Authors: Georg W Wurschi; Karim Kentouche; Karl-Heinz Herrmann; Ines Krumbein; Mariana Nold; James F Beck; Jürgen R Reichenbach; Hans-Joachim Mentzel Journal: Pediatr Radiol Date: 2019-03-29
Authors: Benjamin Henninger; Henninger Benjamin; Christian Kremser; Kremser Christian; Stefan Rauch; Rauch Stefan; Robert Eder; Eder Robert; Werner Judmaier; Judmaier Werner; Heinz Zoller; Zoller Heinz; Henrik Michaely; Michaely Henrik; Michael Schocke; Schocke Michael Journal: Eur Radiol Date: 2013-01-19 Impact factor: 5.315
Authors: Ralf B Loeffler; M Beth McCarville; Anne W Wagstaff; Matthew P Smeltzer; Axel J Krafft; Ruitian Song; Jane S Hankins; Claudia M Hillenbrand Journal: Pediatr Radiol Date: 2016-10-17