Beyond mean value analysis - a voxel-based analysis of the quantitative MR biomarker water T
MR biomarker
NMD
PDFF
edema
fatty infiltration
histogram
skeletal muscle
water T2
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
revised:
26
07
2022
received:
20
08
2021
accepted:
26
07
2022
pubmed:
28
7
2022
medline:
16
11
2022
entrez:
27
7
2022
Statut:
ppublish
Résumé
The main pathologies in the muscles of patients with neuromuscular diseases (NMD) are fatty infiltration and edema. Recently, quantitative magnetic resonance (MR) imaging for determination of the MR biomarkers proton density fat fraction (PDFF) and water T
Substances chimiques
Water
059QF0KO0R
Protons
0
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4805Informations de copyright
© 2022 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
Références
Mercuri E, Jungbluth H, Muntoni F. Muscle imaging in clinical practice: diagnostic value of muscle magnetic resonance imaging in inherited neuromuscular disorders. Curr Opin Neurol. 2005;18(5):526-537. doi:10.1097/01.wco.0000183947.01362.fe
Mercuri E, Pichiecchio A, Allsop J, Messina S, Pane M, Muntoni F. Muscle MRI in inherited neuromuscular disorders: past, present, and future. J Magn Reson Imaging. 2007;25(2):433-440. doi:10.1002/jmri.20804
Wattjes MP, Kley RA, Fischer D. Neuromuscular imaging in inherited muscle diseases. Eur Radiol. 2010;20(10):2447-2460. doi:10.1007/s00330-010-1799-2
Hollingsworth KG, de Sousa PL, Straub V, Carlier PG. Towards harmonization of protocols for MRI outcome measures in skeletal muscle studies: consensus recommendations from two TREAT-NMD NMR workshops, 2 May 2010, Stockholm, Sweden, 1-2 October 2009, Paris, France. Neuromuscul Disord. 2012;22(Suppl 2):S54-S67. doi:10.1016/j.nmd.2012.06.005
Leung DG. Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review. J Neurol. 2017;264(7):1320-1333. doi:10.1007/s00415-016-8350-6
Straub V, Carlier PG, Mercuri E. TREAT-NMD workshop: pattern recognition in genetic muscle diseases using muscle MRI: 25-26 February 2011, Rome, Italy. Neuromuscul Disor. 2012;22(Suppl 2):S42-S53. doi:10.1016/j.nmd.2012.08.002
Ten Dam L, van der Kooi AJ, Verhamme C, Wattjes MP, de Visser M. Muscle imaging in inherited and acquired muscle diseases. Eur J Neurol. 2016;23(4):688-703. doi:10.1111/ene.12984
Schlaeger S, Klupp E, Weidlich D, et al. T2-weighted Dixon turbo spin echo for accelerated simultaneous grading of whole-body skeletal muscle fat infiltration and edema in patients with neuromuscular diseases. J Comput Assist Tomogr. 2018;42(4):574-579. doi:10.1097/rct.0000000000000723
Schlaeger S, Sollmann N, Zoffl A, et al. Quantitative muscle MRI in patients with neuromuscular diseases-association of muscle proton density fat fraction with semi-quantitative grading of fatty infiltration and muscle strength at the thigh region. Diagnostics. 2021;11(6):1056. doi:10.3390/diagnostics11061056
Carlier PG, Marty B, Scheidegger O, et al. Skeletal muscle quantitative nuclear magnetic resonance imaging and spectroscopy as an outcome measure for clinical trials. J Neuromuscul Dis. 2016;3(1):1-28. doi:10.3233/jnd-160145
Reeder SB, Hu HH, Sirlin CB. Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration. J Magn Reson Imaging. 2012;36(5):1011-1014. doi:10.1002/jmri.23741
Hu HH, Li Y, Nagy TR, Goran MI, Nayak KS. Quantification of absolute fat mass by magnetic resonance imaging: a validation study against chemical analysis. Int J Body Compos Res. 2011;9(3):111-122.
Kim HK, Laor T, Horn PS, Racadio JM, Wong B, Dardzinski BJ. T2 mapping in Duchenne muscular dystrophy: distribution of disease activity and correlation with clinical assessments. Radiology. 2010;255(3):899-908. doi:10.1148/radiol.10091547
Carlier PG. Global T2 versus water T2 in NMR imaging of fatty infiltrated muscles: different methodology, different information and different implications. Neuromuscul Disord. 2014;24(5):390-392. doi:10.1016/j.nmd.2014.02.009
Janiczek RL, Gambarota G, Sinclair CD, et al. Simultaneous T₂ and lipid quantitation using IDEAL-CPMG. Magn Reson Med. 2011;66(5):1293-1302. doi:10.1002/mrm.22916
Marty B, Baudin P-Y, Reyngoudt H, et al. Simultaneous muscle water T2 and fat fraction mapping using transverse relaxometry with stimulated echo compensation. NMR Biomed. 2016;29(4):431-443. doi:10.1002/nbm.3459
Lebel RM, Wilman AH. Transverse relaxometry with stimulated echo compensation. Magn Reson Med. 2010;64(4):1005-1014. doi:10.1002/mrm.22487
Azzabou N, Loureiro de Sousa P, Caldas E, Carlier PG. Validation of a generic approach to muscle water T2 determination at 3T in fat-infiltrated skeletal muscle. J Magn Reson Imaging. 2015;41(3):645-653. doi:10.1002/jmri.24613
Santini F, Deligianni X, Paoletti M, et al. Fast open-source toolkit for water T2 mapping in the presence of fat from multi-echo spin-echo acquisitions for muscle MRI. Front Neurol. 2021;12(248). doi:10.3389/fneur.2021.630387
Klupp E, Weidlich D, Schlaeger S, et al. B1-insensitive T2 mapping of healthy thigh muscles using a T2-prepared 3D TSE sequence. PLoS One. 2017;12(2):e0171337 doi:10.1371/journal.pone.0171337
Weidlich D, Schlaeger S, Kooijman H, et al. T2 mapping with magnetization-prepared 3D TSE based on a modified BIR-4 T2 preparation. NMR Biomed. 2017;30(11):e3773. doi:10.1002/nbm.3773
Schlaeger S, Weidlich D, Klupp E, et al. Water T2 mapping in fatty infiltrated thigh muscles of patients with neuromuscular diseases using a T2-prepared 3D turbo spin echo with SPAIR. J Magn Reson Imaging. 2020;51(6):1727-1736. doi:10.1002/jmri.27032
Schlaeger S, Weidlich D, Klupp E, et al. Decreased water T(2) in fatty infiltrated skeletal muscles of patients with neuromuscular diseases. NMR Biomed. 2019;32(8):e4111. doi:10.1002/nbm.4111
Willcocks RJ, Arpan IA, Forbes SC, et al. Longitudinal measurements of MRI-T2 in boys with Duchenne muscular dystrophy: effects of age and disease progression. Neuromuscul Disord. 2014;24(5):393-401. doi:10.1016/j.nmd.2013.12.012
Keene KR, Beenakker JM, Hooijmans MT, et al. T(2) relaxation-time mapping in healthy and diseased skeletal muscle using extended phase graph algorithms. Magn Reson Med. 2020;84(5):2656-2670. doi:10.1002/mrm.28290
Akinci D'Antonoli T, Santini F, Deligianni X, et al. Combination of quantitative MRI fat fraction and texture analysis to evaluate spastic muscles of children with cerebral palsy. Front Neurol. 2021;12:633808. doi:10.3389/fneur.2021.633808
Diaz-Manera J, Pichiecchio A, Santini F, Filosto M. Editorial: Imaging of neuromuscular diseases. Front Neurol. 2021;12. doi:10.3389/fneur.2021.814579
Liu CY, McKenzie CA, Yu H, Brittain JH, Reeder SB. Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise. Magn Reson Med. 2007;58(2):354-364. doi:10.1002/mrm.21301
Karampinos DC, Yu H, Shimakawa A, Link TM, Majumdar S. T₁-corrected fat quantification using chemical shift-based water/fat separation: application to skeletal muscle. Magn Reson Med. 2011;66(5):1312-1326. doi:10.1002/mrm.22925
Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med. 2008;60(5):1122-1134. doi:10.1002/mrm.21737
Yu H, McKenzie CA, Shimakawa A, et al. Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation. J Magn Reson Imaging. 2007;26(4):1153-1161. doi:10.1002/jmri.21090
Klein S, Staring M, Murphy K, Viergever MA, Pluim JPW. elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imaging. 2010;29(1):196-205. doi:10.1109/TMI.2009.2035616
Shamonin D, Bron E, Lelieveldt B, Smits M, Klein S, Staring M. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Front Neuroinform. 2014;7(50). doi:10.3389/fninf.2013.00050
Greve T, Burian E, Zoffl A, et al. Regional variation of thigh muscle fat infiltration in patients with neuromuscular diseases compared to healthy controls. Quant Imaging Med Surg. 2021;11(6):2610-2621. doi:10.21037/qims-20-1098
Inhuber S, Sollmann N, Schlaeger S, et al. Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging. Eur Radiol Exp. 2019;3(1):45. doi:10.1186/s41747-019-0123-4
Carlier RY, Laforet P, Wary C, et al. Whole-body muscle MRI in 20 patients suffering from late onset Pompe disease: Involvement patterns. Neuromuscul Disord. 2011;21(11):791-799. doi:10.1016/j.nmd.2011.06.748
Carlier PG, Azzabou N, de Sousa PL, et al. Skeletal muscle quantitative nuclear magnetic resonance imaging follow-up of adult Pompe patients. J Inherit Metab Dis. 2015;38(3):565-572. doi:10.1007/s10545-015-9825-9