Quantitative muscle ultrasound in children with Duchenne muscular dystrophy: Comparing to magnetic resonance imaging

被引:3
|
作者
Hu, Jun [1 ,10 ]
Jiang, Li [2 ,3 ,4 ,5 ]
Hong, Siqi [2 ,3 ,4 ,5 ]
Cheng, Li [2 ,3 ,4 ]
Wang, Qiao [2 ,3 ,4 ,6 ]
Peng, Xuehua [2 ,3 ,4 ,7 ]
Qin, Jiaqiang [2 ,3 ,4 ,8 ]
Zou, Lin [2 ,3 ,4 ,9 ]
机构
[1] Fujian Med Univ, Dept Pediat, Union Hosp, Fuzhou, Peoples R China
[2] Minist Educ, Key Lab Child Dev & Disorders, Chongqing, Peoples R China
[3] Key Lab Pediat Chongqing, Chongqing, Peoples R China
[4] Technol Cooperat Ctr Child Dev & Disorders, Chongqing Int Sci, Chongqing, Peoples R China
[5] Chongqing Med Univ, Childrens Hosp, Dept Neurol, Chongqing, Peoples R China
[6] Chongqing Med Univ, Childrens Hosp, Dept Ultrasound, Chongqing, Peoples R China
[7] Chongqing Med Univ, Childrens Hosp, Dept Radiol, Chongqing, Peoples R China
[8] Chongqing Med Univ, Childrens Hosp, Dept Orthoped, Chongqing, Peoples R China
[9] Chongqing Med Univ, Childrens Hosp, Mol Med Ctr, Chongqing, Peoples R China
[10] Fujian Med Univ, Dept Pediat, Union Hosp, 29 Xinquan Rd, Fuzhou 350001, Peoples R China
关键词
child; Duchenne muscular dystrophy; magnetic resonance imaging; quantitative muscle ultrasound; FATTY INFILTRATION; BOYS; TRIALS;
D O I
10.1002/jcu.23411
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Objective: There is a need today for favorable biomarkers to follow up on the disease progression and therapeutic response in patients with Duchenne muscular dystrophy (DMD). This study evaluates whether quantitative muscle ultrasound (QMUS) or magnetic resonance imaging (MRI) is more suitable for the assessment of DMD in China. Methods: Thirty-six boys with DMD, who were treated with prednisone from baseline to month 12, were enrolled in this longitudinal, observational cohort study. Muscle thickness and echo intensity on QMUS and T1-weighted MRI grading were measured in the right rectus femoris. Results: Scores for muscle thickness and echo intensity in QMUS and T1-weighted MRI grading showed significant correlations with the clinical characteristics of muscle strength, timed testing, and quality of life (p < 0.05). Scores for muscle thickness and echo intensity on QMUS also showed good correlations with T1-weighted MRI grading (p < 0.05). However, 15 of 36 boys with DMD did not undergo MRI examinations for various reasons. Conclusions: QMUS and MRI can be used as biomarkers for tracking DMD to some extent. Both have strengths and weaknesses and the specific needs and goals of the clinical or research project are what make one preferable to the other.
引用
收藏
页码:674 / 679
页数:6
相关论文
共 50 条
  • [41] Quantitative muscle MRI and ultrasound for facioscapulohumeral muscular dystrophy: complementary imaging biomarkers
    Karlien Mul
    Corinne G. C. Horlings
    Sanne C. C. Vincenten
    Nicol C. Voermans
    Baziel G. M. van Engelen
    Nens van Alfen
    Journal of Neurology, 2018, 265 : 2646 - 2655
  • [42] Imaging respiratory muscle quality and function in Duchenne muscular dystrophy
    Barnard, Alison M.
    Lott, Donovan J.
    Batra, Abhinandan
    Triplett, William T.
    Forbes, Sean C.
    Riehl, Samuel L.
    Willcocks, Rebecca J.
    Smith, Barbara K.
    Vandenborne, Krista
    Walter, Glenn A.
    JOURNAL OF NEUROLOGY, 2019, 266 (11) : 2752 - 2763
  • [43] Imaging respiratory muscle quality and function in Duchenne muscular dystrophy
    Alison M. Barnard
    Donovan J. Lott
    Abhinandan Batra
    William T. Triplett
    Sean C. Forbes
    Samuel L. Riehl
    Rebecca J. Willcocks
    Barbara K. Smith
    Krista Vandenborne
    Glenn A. Walter
    Journal of Neurology, 2019, 266 : 2752 - 2763
  • [44] Quantitative coordination evaluation for screening children with Duchenne muscular dystrophy
    An, Jian
    Xie, Zhiying
    Jia, Fan
    Wang, Zhaoxia
    Yuan, Yun
    Zhang, Jue
    Fang, Jing
    CHAOS, 2020, 30 (02)
  • [45] Skeletal muscle magnetic resonance biomarkers correlate with function and sentinel events in Duchenne muscular dystrophy
    Barnard, Alison M.
    Willcocks, Rebecca J.
    Finanger, Erika L.
    Daniels, Michael J.
    Triplett, William T.
    Rooney, William D.
    Lott, Donovan J.
    Forbes, Sean C.
    Wang, Dah-Jyuu
    Senesacl, Claudia R.
    Harrington, Ann T.
    Finkel, Richard S.
    Russman, Barry S.
    Byrne, Barry J.
    Tennekoon, Gihan I.
    Walter, Glenn A.
    Sweeney, H. Lee
    Vandenborne, Krista
    PLOS ONE, 2018, 13 (03):
  • [46] Electrical Impedance Myography and Quantitative Ultrasound for Assessment of Duchenne Muscular Dystrophy
    Parad, Rebecca
    Wilder, Sarah
    Pasternak, Amy
    Shriber, Elizabeth
    Visyak, Nicole
    Geisbush, Thomas
    Wu, Jim
    Zaidman, Craig
    Darras, Basil
    Rutkove, Seward
    ANNALS OF NEUROLOGY, 2013, 74 : S101 - S102
  • [47] Quantitative ultrasound using backscatter analysis in Duchenne and Becker muscular dystrophy
    Zaidman, Craig M.
    Connolly, Anne M.
    Malkus, Elizabeth C.
    Florence, Julaine M.
    Pestronk, Alan
    NEUROMUSCULAR DISORDERS, 2010, 20 (12) : 805 - 809
  • [48] Muscle Pathology and Functional Ability in Children with Duchenne Muscular Dystrophy
    Deol, Jasjit K.
    Schmalfuss, Ilona
    Lott, Donovan J.
    Germain, Sean A.
    Mathur, Sunita
    Senesac, Claudia
    Walter, Glenn A.
    Vandenborne, Krista
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2010, 42 (05): : 815 - 816
  • [49] Muscle Activation during Gait in Children with Duchenne Muscular Dystrophy
    Ropars, Juliette
    Lempereur, Mathieu
    Vuillerot, Carole
    Tiffreau, Vincent
    Peudenier, Sylviane
    Cuisset, Jean-Marie
    Pereon, Yann
    Leboeuf, Fabien
    Delporte, Ludovic
    Delpierre, Yannick
    Gross, Raphael
    Brochard, Sylvain
    PLOS ONE, 2016, 11 (09):
  • [50] Qualitative and quantitative muscle ultrasound in patients with Duchenne muscular dystrophy: Where do sonographic changes begin?
    Vill, K.
    Sehri, M.
    Muller, C.
    Hannibal, I
    Huf, V
    Idriess, M.
    Gerstl, L.
    Bonfert, M., V
    Tacke, M.
    Schroeder, A. S.
    Landgraf, M. N.
    Muller-Felber, W.
    Blaschek, A.
    EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY, 2020, 28 : 142 - 150