Literature DB >> 19002057

T2* relaxometry in liver, pancreas, and spleen in a healthy cohort of one hundred twenty-nine subjects-correlation with age, gender, and serum ferritin.

Nina F Schwenzer1, Jürgen Machann, Michael M Haap, Petros Martirosian, Christina Schraml, Gerd Liebig, Norbert Stefan, Hans-Ulrich Häring, Claus D Claussen, Andreas Fritsche, Fritz Schick.   

Abstract

OBJECTIVE: To assess T2* values of liver, pancreas, and spleen in a healthy cohort and to compare the gained values with serum ferritin levels and anthropometric data. In addition, the relationship of T2* between the 3 organs was investigated.
MATERIALS AND METHODS: One hundred twenty-nine healthy subjects (85 women, 44 men) were examined on a 1.5-T magnetic resonance whole-body unit. Age ranged from 20 to 70 years (mean age, 47.9 +/- 11.4 years). A multislice fat-saturated breath-hold 2D multiecho gradient-echo sequence was applied for T2* measurement. To assess T2* values of the liver, pancreas, and spleen, T2* maps were calculated. The correlation of organ T2* with serum ferritin and anthropometric data (age, gender, body mass index) was investigated.
RESULTS: Measurement of T2* was feasible in all volunteers. A gender-related analysis revealed significant higher hepatic and splenic T2* values for women than for men (P < 0.01). For the pancreas, these differences could not be found. A significant negative correlation was found between hepatic T2*, splenic T2*, and serum ferritin (r = -0.62 liver, r = -0.64 spleen; P < 0.0001). In contrast, no such relationship was found for pancreatic T2* (r = -0.15). For women, a statistically significant age-dependent increase was found for splenic T2* values.
CONCLUSION: Using a fast quantitative T2* magnetic resonance imaging technique, it was possible to gain insights into the iron metabolism of a healthy cohort. Gender- and age-related differences concerning T2* and serum ferritin levels were found in the liver and spleen, but not in the pancreas.

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Year:  2008        PMID: 19002057     DOI: 10.1097/RLI.0b013e3181862413

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  41 in total

Review 1.  Magnetic resonance imaging quantification of liver iron.

Authors:  Claude B Sirlin; Scott B Reeder
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

Review 2.  Quantification of liver fat with magnetic resonance imaging.

Authors:  Scott B Reeder; Claude B Sirlin
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

3.  Impaired hepcidin expression in alpha-1-antitrypsin deficiency associated with iron overload and progressive liver disease.

Authors:  Benedikt Schaefer; David Haschka; Armin Finkenstedt; Britt-Sabina Petersen; Igor Theurl; Benjamin Henninger; Andreas R Janecke; Chia-Yu Wang; Herbert Y Lin; Lothar Veits; Wolfgang Vogel; Günter Weiss; Andre Franke; Heinz Zoller
Journal:  Hum Mol Genet       Date:  2015-08-26       Impact factor: 6.150

4.  Comparison of whole liver and small region-of-interest measurements of MRI liver R2* in children with iron overload.

Authors:  M Beth McCarville; Claudia M Hillenbrand; Ralf B Loeffler; Matthew P Smeltzer; Ruitan Song; Chin-Shang Li; Jane S Hankins
Journal:  Pediatr Radiol       Date:  2010-03-24

5.  Automated vessel exclusion technique for quantitative assessment of hepatic iron overload by R2*-MRI.

Authors:  Aaryani Tipirneni-Sajja; Ruitian Song; M Beth McCarville; Ralf B Loeffler; Jane S Hankins; Claudia M Hillenbrand
Journal:  J Magn Reson Imaging       Date:  2017-10-30       Impact factor: 4.813

6.  Sensitivity of quantitative relaxometry and susceptibility mapping to microscopic iron distribution.

Authors:  Timothy J Colgan; Gesine Knobloch; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2019-08-18       Impact factor: 4.668

Review 7.  Liver fat content determined by magnetic resonance imaging and spectroscopy.

Authors:  Fabian Springer; Jürgen Machann; Claus D Claussen; Fritz Schick; Nina F Schwenzer
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

8.  Quantitative chemical shift-encoded MRI is an accurate method to quantify hepatic steatosis.

Authors:  Jens-Peter Kühn; Diego Hernando; Birger Mensel; Paul C Krüger; Till Ittermann; Julia Mayerle; Norbert Hosten; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2013-10-10       Impact factor: 4.813

9.  Integrated quantitative susceptibility and R2 * mapping for evaluation of liver fibrosis: An ex vivo feasibility study.

Authors:  Ramin Jafari; Stefanie J Hectors; Anne K Koehne de González; Pascal Spincemaille; Martin R Prince; Gary M Brittenham; Yi Wang
Journal:  NMR Biomed       Date:  2020-09-22       Impact factor: 4.044

10.  Normal hepatic parenchyma visibility and ADC quantification on diffusion-weighted MRI at 3 T: influence of age, gender, and iron content.

Authors:  Thierry Metens; Kellen Fanstone Ferraresi; Alessandra Farchione; Christophe Moreno; Maria Antonietta Bali; Celso Matos
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

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