Imaging diamagnetic susceptibility of collagen in hepatic fibrosis using susceptibility tensor imaging.
liver cirrhosis
liver fibrosis
magnetic susceptibility anisotropy
quantitative susceptibility mapping
susceptibility tensor imaging
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
04
05
2019
revised:
22
08
2019
accepted:
24
08
2019
pubmed:
22
10
2019
medline:
15
5
2021
entrez:
22
10
2019
Statut:
ppublish
Résumé
To characterize the magnetic susceptibility changes of liver fibrosis using susceptibility tensor imaging. Liver biopsy tissue samples of patients with liver fibrosis were obtained. Three-dimensional gradient-echo and diffusion-weighted images were acquired at 9.4 T. Susceptibility tensors of the samples were calculated using the gradient-echo phase signal acquired at 12 different orientations relative to the B Areas with strong diamagnetic susceptibility were observed in the tissue samples forming fibrous patterns. This diamagnetic susceptibility was highly anisotropic. Both the mean magnetic susceptibility and susceptibility anisotropy of collagen fibers exhibited a strong contrast against the surrounding nonfibrotic tissues. The same regions also showed an elevated diffusion anisotropy but with much lower tissue contrast. Masson's trichrome staining identified concentrated collagens in the fibrous regions with high susceptibility anisotropy, and a linear correlation was found between the susceptibility anisotropy and the histology-based staging. Diamagnetic susceptibility indicates the presence of collagen in the fibrotic liver tissues. Mapping magnetic susceptibility anisotropy may serve as a potential marker to quantify collagen fiber changes in patients with liver fibrosis.
Substances chimiques
Collagen
9007-34-5
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1322-1330Informations de copyright
© 2019 International Society for Magnetic Resonance in Medicine.
Références
Faria SC, Ganesan K, Mwangi I, et al. MR imaging of liver fibrosis: current state of the art. Radiographics. 2009;29:1615-1635.
Huber A, Ebner L, Heverhagen JT, Christe A. State-of-the-art imaging of liver fibrosis and cirrhosis: a comprehensive review of current applications and future perspectives. Eur J Radiol Open. 2015;2:90-100.
Bataller R, Brenner DA. Liver fibrosis. J Clin Invest. 2005;115:209-218.
Lo RC, Kim H. Histopathological evaluation of liver fibrosis and cirrhosis regression. Clin Mol Hepatol. 2017;23:302-307.
Orah N, Rotimi O, Abdulkareem FB. The use of special stains in liver biopsy interpretation: implications for the management of liver disease in Nigeria. Niger J Clin Pract. 2016;19(4):523-529.
Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2017;45:1276-1295.
Kudo M, Zheng RQ, Kim SR, et al. Diagnostic accuracy of imaging for liver cirrhosis compared to histologically proven liver cirrhosis. A multicenter collaborative study. Intervirology. 2008;51(Suppl 1):17-26.
Zhang L, Yu X, Huo L, et al. Detection of liver metastases on gadobenate dimeglumine-enhanced MRI: systematic review, meta-analysis, and similarities with gadoxetate-enhanced MRI. Eur Radiol. 2019;29:5205-5216.
Caussy C, Bhargava M, Villesen IF, et al. Collagen formation assessed by PRO-C3 is an heritable trait and is associated with liver fibrosis assessed by MRE. Hepatology. 2019. https://doi.org/10.1002/hep.30610.
Venkatesh SK, Yin M, Ehman RL. Magnetic resonance elastography of liver: technique, analysis, and clinical applications. J Magn Reson Imaging. 2013;37:544-555.
Besheer T, Elalfy H, El-Maksoud MA, et al. Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus. World J Gastroenterol. 2019;25:1366-1377.
Huang H, Che-Nordin N, Wang L-F, et al. High performance of intravoxel incoherent motion diffusion MRI in detecting viral hepatitis-b induced liver fibrosis. Ann Trans Med. 2019;7:39.
Jiang H, Zheng T, Duan T, Chen J, Song B. Non-invasive in vivo imaging grading of liver fibrosis. J Clin Trans Hepatol. 2018;6:198-207.
Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J Magn Reson Imaging. 2015;42:23-41.
Wei H, Xie L, Dibb R, et al. Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping. NeuroImage. 2016;137:107-115.
Deistung A, Schweser F, Reichenbach JR. Overview of quantitative susceptibility mapping. NMR Biomed. 2017;30.
Xie L, Dibb R, Cofer GP, et al. Susceptibility tensor imaging of the kidney and its microstructural underpinnings. Magn Reson Med. 2015;73:1270-1281.
Dibb R, Qi Y, Liu C. Magnetic susceptibility anisotropy of myocardium imaged by cardiovascular magnetic resonance reflects the anisotropy of myocardial filament α-helix polypeptide bonds. J Cardiovasc Magn Reson. 2015;17:1.
Dibb R, Xie L, Wei H, Liu C. Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed. 2017;30:e3544.
Wei H, Dibb R, Decker K, et al. Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magn Reson Med. 2017;78:1933-1943.
Wei H, Gibbs E, Zhao P, et al. Susceptibility tensor imaging and tractography of collagen fibrils in the articular cartilage. Magn Reson Med. 2017;78:1683-1690.
Liu C, Li W, Wu B, Jiang Y, Johnson GA. 3D fiber tractography with susceptibility tensor imaging. NeuroImage. 2012;59:1290-1298.
Liu C. Susceptibility tensor imaging. Magn Reson Med. 2010;63:1471-1477.
Li W, Liu C, Duong TQ, van Zijl PC, Li X. Susceptibility tensor imaging (STI) of the brain. NMR Biomed. 2017;30:e3540.
Wu B, Li W, Guidon A, Liu C. Whole brain susceptibility mapping using compressed sensing. Magn Reson Med. 2012;67:137-147.
Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? NeuroImage. 2011;54:2789-2807.
Wei H, Zhang Y, Gibbs E, Chen NK, Wang N, Liu C. Joint 2D and 3D phase processing for quantitative susceptibility mapping: application to 2D echo-planar imaging. NMR Biomed. 2017;30:e3501.
Wu B, Li W, Avram AV, Gho SM, Liu C. Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals. NeuroImage. 2012;59:297-305.
Wei H, Dibb R, Zhou Y, et al. Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range. NMR Biomed. 2015;28:1294-1303.
Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. 1996. J Magn Reson. 2011;213:560-570.
Bedossa P, Poynard T. An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology. 1996;24:289-293.
Hoad CL, Palaniyappan N, Kaye P, et al. A study of T(1) relaxation time as a measure of liver fibrosis and the influence of confounding histological factors. NMR Biomed. 2015;28:706-714.
Zheng S, Xia Y. Effect of phosphate electrolyte buffer on the dynamics of water in tendon and cartilage. NMR Biomed. 2009;22:158-164.
Zheng S, Xia Y. Changes in proton dynamics in articular cartilage caused by phosphate salts and fixation solutions. Cartilage. 2010;1:55-64.
Lodygensky GA, Marques JP, Maddage R, et al. In vivo assessment of myelination by phase imaging at high magnetic field. NeuroImage. 2012;59:1979-1987.
Wang N, Zhuang J, Wei H, Dibb R, Qi Y, Liu C. Probing demyelination and remyelination of the cuprizone mouse model using multimodality MRI. J Magn Reson Imaging. 2019. https://doi.org/10.1002/jmri.26758.
Evia AM, Kotrotsou A, Tamhane AA, et al. Ex-vivo quantitative susceptibility mapping of human brain hemispheres. PLoS ONE. 2017;12:e0188395.
Henkelman RM, Stanisz GJ, Kim JK, Bronskill MJ. Anisotropy of NMR properties of tissues. Magn Reson Med. 1994;32:592-601.
Cheung JS, Fan SJ, Gao DS, Chow AM, Man K, Wu EX. Diffusion tensor imaging of liver fibrosis in an experimental model. J Magn Reson Imaging. 2010;32:1141-1148.
Lin H, Wei H, He N, et al. Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification. Eur Radiol. 2018;28:3494-3504.