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A model for hepatic fibrosis: The competing effects of cell loss and iron on shortened Modified Look-Locker inversion recovery T1 (shMOLLI-T1) in the liver

Abstract:
Purpose: Liver T1 values have shown sensitivity to inflammation and fibrosis, but are also affected by hepatic iron content. Modified Look-Locker inversion recovery (MOLLI) T1 measurements are biased by the lower T2 associated with high iron. The purpose of this work is to propose a simple multi-compartment model of the liver and use Bloch-McConnell simulations to demonstrate the effects of iron and fibrosis on shortened-MOLLI (shMOLLI) T1 measurements.
Methods: A tissue model was generated consisting of liver cells and extracellular fluid (ECF), with iron-dependent relaxation rates. Fibrosis was imitated by increasing the ECF proportion. Simulations of the shMOLLI sequence produced a look-up table (LUT) of shMOLLI-T1 for a given ECF fraction and iron content. The LUT was used to calculate ECF(shMOLLI-T1), assuming normal hepatic iron content (HIC), and ECF(shMOLLI-T1,T2*), accounting for HIC determined by T2*, for 77 patients and compared to fibrosis assessed by liver biopsy.
Results: Simulations showed that increasing HIC decreases shMOLLI-T1, with an increase in HIC from 1.0 to 2.5mg/g at normal ECF fraction decreasing shMOLLI-T1 by 160ms, while increasing ECF increased ShMOLLI-T1, with an increase of 20% ECF at normal iron increasing shMOLLI-T1 by 200ms. Calculated patient ECF(shMOLLI-T1) showed a strong dependence on Ishak score (3.3±0.8 %ECF/Ishak stage) and 1/T2* (-0.23±0.04 %ECF/Hz). However, when iron was accounted for to produce ECF(shMOLLI-T1,T2*), it was independent of HIC but retained sensitivity to Ishak score.
Conclusion: Use of this multi-compartment model of the liver with Bloch-McConnell simulation should enable compensation of iron effects when using shMOLLI-T1 to assess fibrosis.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/jmri.25392

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author


Publisher:
Wiley
Journal:
Journal of Magnetic Resonance Imaging More from this journal
Volume:
45
Issue:
2
Pages:
450-462
Publication date:
2016-07-23
Acceptance date:
2016-07-05
DOI:
EISSN:
1522-2586
ISSN:
1053-1807


Keywords:
Pubs id:
pubs:633912
UUID:
uuid:c37bae45-7717-43fb-ad73-21ae65f6c614
Local pid:
pubs:633912
Source identifiers:
633912
Deposit date:
2016-07-13
ARK identifier:

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