Bushby K, Finkel R, Birnkrant DJ, et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol, 2010,9(1):77–93
Article
Google Scholar
Hoffman EP, Brown RH Jr., Kunkel LM. Dystrophin: the protein product of the Duchenne muscular dystrophy locus. Cell, 1987,51(6):919–928
CAS
Article
Google Scholar
McDouall RM, Dunn MJ, Dubowitz V. Nature of the mononuclear infiltrate and the mechanism of muscle damage in juvenile dermatomyositis and Duchenne muscular dystrophy. J Neurol Sci, 1990,99(2–3):199–217
CAS
Article
Google Scholar
Moxley RT 3rd, Ashwal S, Pandya S, et al. Practice parameter: corticosteroid treatment of Duchenne dystrophy: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Neurology, 2005,64(1):13–20
CAS
Article
Google Scholar
Schmidt S, Hafner P, Klein A, et al. Timed function tests, motor function measure, and quantitative thigh muscle MRI in ambulant children with Duchenne muscular dystrophy: A cross–sectional analysis. Neuromuscul Disord, 2018,28(1):16–23
Article
Google Scholar
Lerario A, Bonfiglio S, Sormani M, et al. Quantitative muscle strength assessment in duchenne muscular dystrophy: longitudinal study and correlation with functional measures. BMC Neurol, 2012,12:91
Article
Google Scholar
Mazzone E, Vasco G, Sormani MP, et al. Functional changes in Duchenne muscular dystrophy: a 12–month longitudinal cohort study. Neurology, 2011,77(3):250–256
CAS
Article
Google Scholar
Mazzone E, Martinelli D, Berardinelli A, et al. North Star Ambulatory Assessment, 6–minute walk test and timed items in ambulant boys with Duchenne muscular dystrophy. Neuromuscul Disord, 2010,20(11):712–716
Article
Google Scholar
Mayhew AG, Cano SJ, Scott E, et al. Detecting meaningful change using the North Star Ambulatory Assessment in Duchenne muscular dystrophy. Dev Med Child Neurol, 2013,55(11):1046–1052
Article
Google Scholar
Kim HK, Laor T, Horn PS, et al. Quantitative assessment of the T2 relaxation time of the gluteus muscles in children with Duchenne muscular dystrophy: a comparative study before and after steroid treatment. Korean J Radiol, 2010,11(3):304–311
Article
Google Scholar
Gaeta M, Messina S, Mileto A, et al. Muscle fatfraction and mapping in Duchenne muscular dystrophy: evaluation of disease distribution and correlation with clinical assessments. Preliminary experience. Skeletal Radiol, 2012,41(8):955–961
Article
Google Scholar
Johnston JH, Kim HK, Merrow AC, et al. Quantitative Skeletal Muscle MRI: Part 1, Derived T2 Fat Map in Differentiation Between Boys With Duchenne Muscular Dystrophy and Healthy Boys. AJR Am J Roentgenol, 2015,205(2):W207–215
Article
Google Scholar
Kim HK, Serai S, Lindquist D, et al. Quantitative Skeletal Muscle MRI: Part 2, MR Spectroscopy and T2 Relaxation Time Mapping–Comparison Between Boys With Duchenne Muscular Dystrophy and Healthy Boys. AJR Am J Roentgenol, 2015,205(2):W216–223
Article
Google Scholar
Reeder SB, Wen ZF, Yu HZ, et al. Multicoil Dixon chemical species separation with an iterative leastsquares estimation method. Magn Reson Med, 2004,51(1):35–45
CAS
Article
Google Scholar
Hu HH, Kim HW, Nayak KS, et al. Comparison of fatwater MRI and single–voxel MRS in the assessment of hepatic and pancreatic fat fractions in humans. Obesity (Silver Spring), 2010,18(4):841–847
Article
Google Scholar
Aoki T, Yamaguchi S, Kinoshita S, et al. Quantification of bone marrow fat content using iterative decomposition of water and fat with echo asymmetry and least–squares estimation (IDEAL): reproducibility, site variation and correlation with age and menopause. Br J Radiol, 2016,89(1065): 20150538
Article
Google Scholar
Hu L, Zha YF, Wang L, et al. Quantitative Evaluation of Vertebral Microvascular Permeability and Fat Fraction in Alloxan–induced Diabetic Rabbits. Radiology, 2018,287(1):128–136
Article
Google Scholar
Huang Y, Majumdar S, Genant HK, et al. Quantitative MR relaxometry study of muscle composition and function in Duchenne muscular dystrophy. J Magn Reson Imaging, 1994,4(1):59–64
CAS
Article
Google Scholar
Florence JM, Pandya S, King WM, et al. Intrarater reliability of manual muscle test (Medical Research Council scale) grades in Duchenne’s muscular dystrophy. Phys Ther, 1992,72(2):115–122
CAS
Article
Google Scholar
Brooke MH, Fenichel GM, Griggs RC, et al. Clinical investigation in Duchenne dystrophy: 2. Determination of the "power" of therapeutic trials based on the natural history. Muscle Nerve, 1983,6(2):91–103
CAS
Article
Google Scholar
McDonald CM, Abresch RT, Carter GT, et al. Profiles of neuromuscular diseases. Duchenne muscular dystrophy. Am J Phys Med Rehabil, 1995,74(5 Suppl):S70–92
CAS
Article
Google Scholar
Bushby K, Connor E. Clinical outcome measures for trials in Duchenne muscular dystrophy: report from International Working Group meetings. Clin Investig (Lond), 2011,1(9):1217–1235
Article
Google Scholar
Mazzone ES, Messina S, Vasco G, et al. Reliability of the North Star Ambulatory Assessment in a multicentric setting. Neuromuscul Disord, 2009,19(7):458–461
CAS
Article
Google Scholar
Mazzone E, Martinelli D, Berardinelli A, et al. North Star Ambulatory Assessment, 6–minute walk test and timed items in ambulant boys with Duchenne muscular dystrophy. Neuromuscul Disord, 2010,20(11):712–716
Article
Google Scholar
Kan HE, Scheenen TW, Wohlgemuth M, et al. Quantitative MR imaging of individual muscle involvement in facioscapulohumeral muscular dystrophy. Neuromuscul Disord, 2009,19(5):357–362
Article
Google Scholar
Willis TA, Hollingsworth KG, Coombs A, et al. Quantitative Muscle MRI as an Assessment Tool for Monitoring Disease Progression in LGMD2I: A Multicentre Longitudinal Study. PLos One, 2013,8(8):e70993
CAS
Article
Google Scholar
Burakiewicz J, Sinclair CDJ, Fischer D, et al. Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy. J Neurol, 2017,264(10):2053–2067
Article
Google Scholar
Hooijmans MT, Niks EH, Burakiewicz J, et al. Nonuniform muscle fat replacement along the proximodistal axis in Duchenne muscular dystrophy. Neuromuscul Disord, 2017,27(5):458–464
CAS
Article
Google Scholar
Hooijmans MT, Damon BM, Froeling M, et al. Evaluation of skeletal muscle DTI in patients with duchenne muscular dystrophy. NMR Biomed, 2015,28(11):1589–1597
CAS
Article
Google Scholar
Mankodi A, Bishop CA, Auh S, et al. Quantifying disease activity in fatty–infiltrated skeletal muscle by IDEAL–CPMG in Duchenne muscular dystrophy. Neuromuscul Disord, 2016,26(10):650–658
Article
Google Scholar
Wattjes MP, Kley RA, Fischer D. Neuromuscular imaging in inherited muscle diseases. Eur Radiol, 2010,20(10):2447–2460
Article
Google Scholar
Forbes SC, Willcocks RJ, Triplett WT, et al. Magnetic resonance imaging and spectroscopy assessment of lower extremity skeletal muscles in boys with Duchenne muscular dystrophy: a multicenter cross sectional study. PLoS One, 2014,9(9):e106435
Article
Google Scholar
Garrood P, Hollingsworth KG, Eagle M, et al. MR imaging in Duchenne muscular dystrophy: quantification of T1–weighted signal, contrast uptake, and the effects of exercise. J Magn Reson Imaging, 2009,30(5):1130–1138
Article
Google Scholar
Arpan I, Forbes SC, Lott DJ, et al. T(2) mapping provides multiple approaches for the characterization of muscle involvement in neuromuscular diseases: a cross–sectional study of lower leg muscles in 5–15–yearold boys with Duchenne muscular dystrophy. NMR Biomed, 2013,26(3):320–328
CAS
Article
Google Scholar
Kim HK, Laor T, Horn PS, et al. T2 mapping in Duchenne muscular dystrophy: distribution of disease activity and correlation with clinical assessments. Radiology, 2010,255(3):899–908
Article
Google Scholar
Arpan I, Willcocks RJ, Forbes SC, et al. Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS. Neurology, 2014,83(11):974–980
CAS
Article
Google Scholar
Li W, Zheng Y, Zhang W, et al. Progression and variation of fatty infiltration of the thigh muscles in Duchenne muscular dystrophy, a muscle magnetic resonance imaging study. Neuromuscul Disord, 2015,25(5):375–380
Article
Google Scholar
Zheng YM, Li W, Du J, et al. The trefoil with single fruit sign in muscle magnetic resonance imaging is highly specific for dystrophinopathies. Eur J Radiol, 2015,84(10):1992–1998
Article
Google Scholar
Polavarapu K, Manjunath M, Preethish–Kumar V, et al. Muscle MRI in Duchenne muscular dystrophy: Evidence of a distinctive pattern. Neuromuscul Disord, 2016,26(11):768–774
Article
Google Scholar
Wokke BH, Van Den Bergen JC, Hooijmans MT, et al. T2 relaxation times are increased in skeletal muscle of DMD but not BMD patients. Muscle Nerve, 2016,53(1):38–43
CAS
Article
Google Scholar
Gaudreault N, Gravel D, Nadeau S, et al. Gait patterns comparison of children with Duchenne muscular dystrophy to those of control subjects considering the effect of gait velocity. Gait Posture, 2010,32(3):342–347
Article
Google Scholar
Doglio L, Pavan E, Pernigotti I, et al. Early signs of gait deviation in Duchenne muscular dystrophy. Eur J Phys Rehabil Med, 2011,47(4):587–594
CAS
PubMed
Google Scholar
Ganea R, Jeannet PY, Paraschiv–Ionescu A, et al. Gait assessment in children with Duchenne muscular dystrophy during long–distance walking. J Child Neurol, 2012,27(1):30–38
Article
Google Scholar
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
Article
Google Scholar
Bendixen RM, Lott DJ, Senesac C, et al. Participation in daily life activities and its relationship to strength and functional measures in boys with Duchenne muscular dystrophy. Disabil Rehabil, 2014,36(22):1918–1923
Article
Google Scholar
Fischer D, Hafner P, Rubino D, et al. The 6–minute walk test, motor function measure and quantitative thigh muscle MRI in Becker muscular dystrophy: A crosssectional study. Neuromuscul Disord, 2016,26(7):414–422
Article
Google Scholar
Johnston JH, Kim HK, Merrow AC, et al. Quantitative Skeletal Muscle MRI: Part I, Derived T2 Fat Map in Differentiation Between Boys With Duchenne Muscular Dystrophy and Healthy Boys. Am J Roentgenol, 2015,205(2):W207–W214
Article
Google Scholar
Mankodi A, Azzabou N, Bulea T, et al. Skeletal muscle water T–2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy. Neuromuscul Disord, 2017,27(8):705–714
Article
Google Scholar
Patten C, Meyer RA, Fleckenstein JL. T2 mapping of muscle. Semin Musculoskelet Radiol, 2003,7(4):297–305
Article
Google Scholar