Literature DB >> 34209547

Determination of Non-Invasive Biomarkers for the Assessment of Fibrosis, Steatosis and Hepatic Iron Overload by MR Image Analysis. A Pilot Study.

Alba Meneses1, José Manuel Santabárbara2, Juan Antonio Romero2, Roberto Aliaga2, Alicia María Maceira2, David Moratal1.   

Abstract

The reference diagnostic test of fibrosis, steatosis, and hepatic iron overload is liver biopsy, a clear invasive procedure. The main objective of this work was to propose HSA, or human serum albumin, as a biomarker for the assessment of fibrosis and to study non-invasive biomarkers for the assessment of steatosis and hepatic iron overload by means of an MR image acquisition protocol. It was performed on a set of eight subjects to determine fibrosis, steatosis, and hepatic iron overload with four different MRI sequences. We calibrated longitudinal relaxation times (T1 [ms]) with seven human serum albumin (HSA [%]) phantoms, and we studied the relationship between them as this protein is synthesized by the liver, and its concentration decreases in advanced fibrosis. Steatosis was calculated by means of the fat fraction (FF [%]) between fat and water liver signals in "fat-only images" (the subtraction of in-phase [IP] images and out-of-phase [OOP] images) and in "water-only images" (the addition of IP and OOP images). Liver iron concentration (LIC [µmol/g]) was obtained by the transverse relaxation time (T2* [ms]) using Gandon's method with multiple echo times (TE) in T2-weighted IP and OOP images. The preliminary results showed that there is an inverse relationship (r = -0.9662) between the T1 relaxation times (ms) and HSA concentrations (%). Steatosis was determined with FF > 6.4% and when the liver signal was greater than the paravertebral muscles signal, and thus, the liver appeared hyperintense in fat-only images. Hepatic iron overload was detected with LIC > 36 µmol/g, and in these cases, the liver signal was smaller than the paravertebral muscles signal, and thus, the liver behaved as hypointense in IP images.

Entities:  

Keywords:  biomarker; fibrosis; hepatic iron overload; image analysis; magnetic resonance protocol; phantom; steatosis

Year:  2021        PMID: 34209547     DOI: 10.3390/diagnostics11071178

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  27 in total

Review 1.  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

2.  Evaluation of MR imaging with T1 and T2* mapping for the determination of hepatic iron overload.

Authors:  B Henninger; C Kremser; S Rauch; R Eder; H Zoller; A Finkenstedt; H J Michaely; M Schocke
Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

3.  MR spectroscopy of the liver: principles and clinical applications.

Authors:  Aliya Qayyum
Journal:  Radiographics       Date:  2009-10       Impact factor: 5.333

Review 4.  New Insights About Albumin and Liver Disease.

Authors:  Joana R Carvalho; Mariana Verdelho Machado
Journal:  Ann Hepatol       Date:  2018 July - August ,       Impact factor: 2.400

Review 5.  Burden of liver diseases in the world.

Authors:  Sumeet K Asrani; Harshad Devarbhavi; John Eaton; Patrick S Kamath
Journal:  J Hepatol       Date:  2018-09-26       Impact factor: 25.083

Review 6.  The controlled attenuation parameter (CAP): a novel tool for the non-invasive evaluation of steatosis using Fibroscan.

Authors:  M Sasso; V Miette; L Sandrin; M Beaugrand
Journal:  Clin Res Hepatol Gastroenterol       Date:  2011-09-15       Impact factor: 2.947

7.  Accuracy of Two-Dimensional Shear Wave Elastography and Attenuation Imaging for Evaluation of Patients With Nonalcoholic Steatohepatitis.

Authors:  Dong Ho Lee; Eun Ju Cho; Jae Seok Bae; Jae Young Lee; Su Jong Yu; Haeryoung Kim; Kyung Bun Lee; Joon Koo Han; Byung Ihn Choi
Journal:  Clin Gastroenterol Hepatol       Date:  2020-05-22       Impact factor: 11.382

8.  Non-invasive detection of liver fibrosis: MR imaging features vs. MR elastography.

Authors:  Sudhakar K Venkatesh; Meng Yin; Naoki Takahashi; James F Glockner; Jayant A Talwalkar; Richard L Ehman
Journal:  Abdom Imaging       Date:  2015-04

9.  Non-invasive assessment of hepatic iron stores by MRI.

Authors:  Y Gandon; D Olivié; D Guyader; C Aubé; F Oberti; V Sebille; Y Deugnier
Journal:  Lancet       Date:  2004-01-31       Impact factor: 79.321

10.  Hepatic steatosis: a major trap in liver imaging.

Authors:  V Vilgrain; M Ronot; M Abdel-Rehim; M Zappa; G d'Assignies; O Bruno; M-P Vullierme
Journal:  Diagn Interv Imaging       Date:  2013-06-14       Impact factor: 4.026

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  1 in total

1.  Biopsy-based optimization and calibration of a signal-intensity-ratio-based MRI method (1.5 Tesla) in a dextran-iron loaded mini-pig model, enabling estimation of very high liver iron concentrations.

Authors:  Peter D Jensen; Asbjørn H Nielsen; Carsten W Simonsen; Kenneth K Jensen; Martin Bøgsted; Anne B H Jensen; Benedict Kjaergaard
Journal:  MAGMA       Date:  2022-01-17       Impact factor: 2.533

  1 in total

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