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Erschienen in: Pediatric Radiology 1/2018

23.10.2017 | Original Article

Agreement between manual relaxometry and semi-automated scanner-based multi-echo Dixon technique for measuring liver T2* in a pediatric and young adult population

verfasst von: Suraj D. Serai, Ethan A. Smith, Andrew T. Trout, Jonathan R. Dillman

Erschienen in: Pediatric Radiology | Ausgabe 1/2018

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Abstract

Background

Commercially available 3D multi-echo Dixon (mDixon) sequences provide parametric maps of liver T2*, obviating manual curve fitting that is often required with conventional gradient recalled echo (GRE)-based multi-echo relaxometry, potentially simplifying clinical work flow.

Objective

The purpose of our study was to compare T2* values generated by a 3D mDixon sequence to values generated by GRE-based T2* relaxometry with manual curve fitting in a pediatric and young adult population.

Materials and methods

We reviewed clinical MRI exams performed at 1.5T for liver iron content estimation between February 2015 and June 2016 that included both mDixon and multi-echo GRE pulse sequences. We obtained mean T2* measurements based on each sequence by drawing regions of interest on each of four axial slices through the mid-liver. We compared mDixon-based and GRE-based T2* measurements using paired t-tests and assessed agreement using single-measure intra-class correlation coefficients and Bland–Altman difference plots.

Results

One hundred nine patients met inclusion criteria (site 1=82; site 2=27). Mean age was 12.4±5.8 years, and 42 subjects (39%) were female. There was no statistically significant difference in mean T2* values for the two sequences (pooled means: 11.7±11.0 [GRE] vs. 11.7±10.9 ms [mDixon]; P=0.93). There was excellent absolute agreement between sequences (intraclass correlation coefficient [ICC]=0.98 for patients at both sites, confidence interval [CI]: 0.97–0.98 with mean bias of 0.0 ms [−4.2 ms to +4.2 ms]).

Conclusion

3D mDixon is accurate for measuring liver T2* and can likely replace 2D GRE-based relaxometry.
Literatur
1.
Zurück zum Zitat Brown K, Subramony C, May W et al (2009) Hepatic iron overload in children with sickle cell anemia on chronic transfusion therapy. J Pediatr Hematol Oncol 31:309–312CrossRefPubMed Brown K, Subramony C, May W et al (2009) Hepatic iron overload in children with sickle cell anemia on chronic transfusion therapy. J Pediatr Hematol Oncol 31:309–312CrossRefPubMed
2.
Zurück zum Zitat Powell LW (2002) Diagnosis of hemochromatosis. Semin Gastrointest Dis 13(2):80–8 Powell LW (2002) Diagnosis of hemochromatosis. Semin Gastrointest Dis 13(2):80–8
3.
Zurück zum Zitat Brittenham GM, Badman DG (2003) Noninvasive measurement of iron: report of an NIDDK workshop. Blood 101:15–19CrossRefPubMed Brittenham GM, Badman DG (2003) Noninvasive measurement of iron: report of an NIDDK workshop. Blood 101:15–19CrossRefPubMed
4.
Zurück zum Zitat Sirlin CB, Reeder SB (2010) Magnetic resonance imaging quantification of liver iron. Magn Reson imaging Clin N Am 18:359–381 Sirlin CB, Reeder SB (2010) Magnetic resonance imaging quantification of liver iron. Magn Reson imaging Clin N Am 18:359–381
5.
Zurück zum Zitat Olivieri NF, Brittenham GM (1997) Iron-chelating therapy and the treatment of thalassemia. Blood 89:739–761PubMed Olivieri NF, Brittenham GM (1997) Iron-chelating therapy and the treatment of thalassemia. Blood 89:739–761PubMed
6.
Zurück zum Zitat Towbin AJ, Serai SD, Podberesky DJ (2013) Magnetic resonance imaging of the pediatric liver: imaging of steatosis, iron deposition, and fibrosis. Magn Reson Imaging Clin N Am 21:669–680CrossRefPubMed Towbin AJ, Serai SD, Podberesky DJ (2013) Magnetic resonance imaging of the pediatric liver: imaging of steatosis, iron deposition, and fibrosis. Magn Reson Imaging Clin N Am 21:669–680CrossRefPubMed
7.
Zurück zum Zitat Wood JC (2014) Use of magnetic resonance imaging to monitor iron overload. Hematol Oncol Clin N Am 28:747–764CrossRef Wood JC (2014) Use of magnetic resonance imaging to monitor iron overload. Hematol Oncol Clin N Am 28:747–764CrossRef
8.
Zurück zum Zitat Serai SD, Fleck RJ, Quinn CT et al (2015) Retrospective comparison of gradient recalled echo R2* and spin-echo R2 magnetic resonance analysis methods for estimating liver iron content in children and adolescents. Pediatr Radiol 45:1629–1634CrossRefPubMed Serai SD, Fleck RJ, Quinn CT et al (2015) Retrospective comparison of gradient recalled echo R2* and spin-echo R2 magnetic resonance analysis methods for estimating liver iron content in children and adolescents. Pediatr Radiol 45:1629–1634CrossRefPubMed
9.
Zurück zum Zitat St Pierre TG, Clark PR, Chua-anusorn W et al (2005) Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance. Blood 105:855–861CrossRefPubMed St Pierre TG, Clark PR, Chua-anusorn W et al (2005) Noninvasive measurement and imaging of liver iron concentrations using proton magnetic resonance. Blood 105:855–861CrossRefPubMed
10.
Zurück zum Zitat Wood JC, Enriquez C, Ghugre N et al (2005) MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients. Blood 106:1460–1465CrossRefPubMedPubMedCentral Wood JC, Enriquez C, Ghugre N et al (2005) MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients. Blood 106:1460–1465CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Gandon Y, Olivie D, Guyader D et al (2004) Non-invasive assessment of hepatic iron stores by MRI. Lancet 363:357–362CrossRefPubMed Gandon Y, Olivie D, Guyader D et al (2004) Non-invasive assessment of hepatic iron stores by MRI. Lancet 363:357–362CrossRefPubMed
12.
Zurück zum Zitat Hankins JS, McCarville MB, Loeffler RB et al (2009) R2* magnetic resonance imaging of the liver in patients with iron overload. Blood 113:4853–4855CrossRefPubMedPubMedCentral Hankins JS, McCarville MB, Loeffler RB et al (2009) R2* magnetic resonance imaging of the liver in patients with iron overload. Blood 113:4853–4855CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Sofue K, Mileto A, Dale BM et al (2015) Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm. J Magn Reson Imaging 42:1281–1290CrossRefPubMed Sofue K, Mileto A, Dale BM et al (2015) Interexamination repeatability and spatial heterogeneity of liver iron and fat quantification using MRI-based multistep adaptive fitting algorithm. J Magn Reson Imaging 42:1281–1290CrossRefPubMed
14.
Zurück zum Zitat Horng DE, Hernando D, Reeder SB (2017) Quantification of liver fat in the presence of iron overload. J Magn Reson Imaging 45:428–439CrossRefPubMed Horng DE, Hernando D, Reeder SB (2017) Quantification of liver fat in the presence of iron overload. J Magn Reson Imaging 45:428–439CrossRefPubMed
15.
Zurück zum Zitat Idilman IS, Aniktar H, Idilman R et al (2013) Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology 267:767–775CrossRefPubMed Idilman IS, Aniktar H, Idilman R et al (2013) Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology 267:767–775CrossRefPubMed
16.
Zurück zum Zitat Idilman IS, Keskin O, Celik A et al (2016) A comparison of liver fat content as determined by magnetic resonance imaging-proton density fat fraction and MRS versus liver histology in non-alcoholic fatty liver disease. Acta Radiol 57:271–278CrossRefPubMed Idilman IS, Keskin O, Celik A et al (2016) A comparison of liver fat content as determined by magnetic resonance imaging-proton density fat fraction and MRS versus liver histology in non-alcoholic fatty liver disease. Acta Radiol 57:271–278CrossRefPubMed
17.
Zurück zum Zitat Kuhn JP, Hernando D, Munoz del Rio A et al (2012) Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. Radiology 265:133–142CrossRefPubMedPubMedCentral Kuhn JP, Hernando D, Munoz del Rio A et al (2012) Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results. Radiology 265:133–142CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Serai SD, Dillman JR, Trout AT (2017) Proton density fat fraction measurements at 1.5- and 3-T hepatic MR imaging: same-day agreement among readers and across two imager manufacturers. Radiology 284:244–254CrossRefPubMed Serai SD, Dillman JR, Trout AT (2017) Proton density fat fraction measurements at 1.5- and 3-T hepatic MR imaging: same-day agreement among readers and across two imager manufacturers. Radiology 284:244–254CrossRefPubMed
19.
Zurück zum Zitat McBride GB (2005) A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. National Institute of Water & Atmospheric Research, Hamilton McBride GB (2005) A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. National Institute of Water & Atmospheric Research, Hamilton
20.
Zurück zum Zitat Anderson LJ, Westwood MA, Holden S et al (2004) Myocardial iron clearance during reversal of siderotic cardiomyopathy with intravenous desferrioxamine: a prospective study using T2* cardiovascular magnetic resonance. Br J Haematol 127:348–355CrossRefPubMed Anderson LJ, Westwood MA, Holden S et al (2004) Myocardial iron clearance during reversal of siderotic cardiomyopathy with intravenous desferrioxamine: a prospective study using T2* cardiovascular magnetic resonance. Br J Haematol 127:348–355CrossRefPubMed
21.
Zurück zum Zitat Henninger B, Zoller H, Kannengiesser S et al (2017) 3D multiecho Dixon for the evaluation of hepatic iron and fat in a clinical setting. J Magn Reson Imaging 46:793–800CrossRefPubMed Henninger B, Zoller H, Kannengiesser S et al (2017) 3D multiecho Dixon for the evaluation of hepatic iron and fat in a clinical setting. J Magn Reson Imaging 46:793–800CrossRefPubMed
Metadaten
Titel
Agreement between manual relaxometry and semi-automated scanner-based multi-echo Dixon technique for measuring liver T2* in a pediatric and young adult population
verfasst von
Suraj D. Serai
Ethan A. Smith
Andrew T. Trout
Jonathan R. Dillman
Publikationsdatum
23.10.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Pediatric Radiology / Ausgabe 1/2018
Print ISSN: 0301-0449
Elektronische ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-017-3990-y

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