Literature DB >> 34051684

Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors?

Hanns C Breit1, Kai T Block2, David J Winkel3, Julian E Gehweiler3, Maurice J Henkel3, Thomas Weikert3, Bram Stieltjes3, Daniel T Boll3, Tobias J Heye3.   

Abstract

PURPOSE: To evaluate potential confounding factors in the quantitative assessment of liver fibrosis and cirrhosis using T1 relaxation times.
METHODS: The study population is based on a radiology-information-system database search for abdominal MRI performed from July 2018 to April 2019 at our institution. After applying exclusion criteria 200 (59 ± 16 yrs) remaining patients were retrospectively included. 93 patients were defined as liver-healthy, 40 patients without known fibrosis or cirrhosis, and 67 subjects had a clinically or biopsy-proven liver fibrosis or cirrhosis. T1 mapping was performed using a slice based look-locker approach. A ROI based analysis of the left and the right liver was performed. Fat fraction, R2*, liver volume, laboratory parameters, sex, and age were evaluated as potential confounding factors.
RESULTS: T1 values were significantly lower in healthy subjects without known fibrotic changes (1.5 T MRI: 575 ± 56 ms; 3 T MRI: 857 ± 128 ms) compared to patients with acute liver disease (1.5 T MRI: 657 ± 73 ms, p < 0.0001; 3 T MRI: 952 ± 37 ms, p = 0.028) or known fibrosis or cirrhosis (1.5 T MRI: 644 ± 83 ms, p < 0.0001; 3 T MRI: 995 ± 150 ms, p = 0.018). T1 values correlated moderately with the Child-Pugh stage at 1.5 T (p = 0.01, ρ = 0.35).
CONCLUSION: T1 mapping is a capable predictor for detection of liver fibrosis and cirrhosis. Especially age is not a confounding factor and, hence, age-independent thresholds can be defined. Acute liver diseases are confounding factors and should be ruled out before employing T1-relaxometry based thresholds to screen for patients with liver fibrosis or cirrhosis.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cirrhosis; Classification; Fibrosis; Magnetic Resonance Imaging

Year:  2021        PMID: 34051684     DOI: 10.1016/j.ejrad.2021.109789

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

1.  Comparison of Hepatic Tissue Characterization between T1-Mapping and Non-Contrast Computed Tomography.

Authors:  Constanze Bardach; Leonie Morski; Katharina Mascherbauer; Carolina Donà; Matthias Koschutnik; Kseniya Halavina; Christian Nitsche; Dietrich Beitzke; Christian Loewe; Elisabeth Waldmann; Michael Trauner; Julia Mascherbauer; Christian Hengstenberg; Andreas Kammerlander
Journal:  J Clin Med       Date:  2022-05-19       Impact factor: 4.964

2.  Assessment of hepatic fibrosis and inflammation with look-locker T1 mapping and magnetic resonance elastography with histopathology as reference standard.

Authors:  Sophie von Ulmenstein; Sanja Bogdanovic; Hanna Honcharova-Biletska; Sena Blümel; Ansgar R Deibel; Daniel Segna; Christoph Jüngst; Achim Weber; Thomas Kuntzen; Christoph Gubler; Cäcilia S Reiner
Journal:  Abdom Radiol (NY)       Date:  2022-08-29
  2 in total

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