Magnetic resonance imaging correlates with electrical impedance myography in facioscapulohumeral muscular dystrophy

被引:12
|
作者
Hamel, Johanna [1 ]
Lee, Phil [2 ,3 ]
Glenn, Melanie D. [4 ]
Burka, Tekalign [4 ]
Choi, In-Young [3 ,4 ]
Friedman, Seth D. [5 ]
Shaw, Dennis W. W. [5 ]
McCalley, Ayla [4 ]
Herbelin, Laura [4 ]
Dimachkie, Mazen M. [4 ]
Lemmers, Richard [6 ]
van der Maarel, Silvere M. [6 ]
Barohn, Richard J. [4 ]
Tawil, Rabi [1 ]
Statland, Jeffrey M. [4 ]
机构
[1] Univ Rochester, Med Ctr, Dept Neurol, Rochester, NY 14642 USA
[2] Univ Kansas, Med Ctr, Dept Radiol, Kansas City, KS 66103 USA
[3] Univ Kansas, Med Ctr, Hoglund Brain Imaging Ctr, Kansas City, KS 66103 USA
[4] Univ Kansas, Med Ctr, Dept Neurol, Kansas City, KS 66103 USA
[5] Seattle Childrens Hosp, Ctr Clin & Translat Res, Seattle, WA USA
[6] Leiden Univ, Dept Human Genet, Med Ctr, Leiden, Netherlands
基金
美国国家卫生研究院;
关键词
facioscapulohumeral muscular dystrophy; genetics; muscle disease; natural history studies; neuromuscular disease; outcome measures; MRI;
D O I
10.1002/mus.26792
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction Electrical impedance myography (EIM) has been proposed as a noninvasive biomarker of muscle composition in facioscapulohumeral muscular dystrophy (FSHD). Here we determine the associations of EIM variables with muscle structure measured by MRI. Methods We evaluated 20 patients with FSHD at two centers, comparing EIM measurements (resistance, reactance, and phase at 50, 100, and 211 kHZ) recorded from bilateral vastus lateralis, tibialis anterior, and medial gastrocnemius muscles to MRI skin and subcutaneous fat thickness, MRI T1-based muscle severity score (T1 muscle score), and MRI quantitative intramuscular Dixon fat fraction (FF). Results While reactance and phase both correlated with FF and T1 muscle score, 50 kHz reactance was most sensitive to muscle structure alterations measured by both T1 score (rho = -0.71, P < .001) and FF (rho = -0.74, P < .001). Discussion This study establishes the correlation of EIM with structural MRI features in FSHD and supports further evaluation of EIM as a potential biomarker in FSHD clinical trials.
引用
收藏
页码:644 / 649
页数:6
相关论文
共 50 条
  • [31] Leveraging cardiac magnetic resonance imaging to assess skeletal muscle progression in Duchenne muscular dystrophy
    Kaslow, Jacob A.
    Sokolow, Andrew G.
    Donnelly, Thomas
    Buchowski, Maciej S.
    Damon, Bruce M.
    Markham, Larry W.
    Burnette, W. Bryan
    Soslow, Jonathan H.
    NEUROMUSCULAR DISORDERS, 2022, 32 (05) : 390 - 398
  • [32] Effect of deflazacort on cardiac and sternocleidomastoid muscles in Duchenne muscular dystrophy: A magnetic resonance imaging study
    Mavrogeni, Sophie
    Papavasiliou, Antigoni
    Douskou, Marouso
    Kolovou, Genovefa
    Papadopoulou, Evangelia
    Cokkinos, Dennis V.
    EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY, 2009, 13 (01) : 34 - 40
  • [33] Characteristics of magnetic resonance imaging biomarkers in a natural history study of golden retriever muscular dystrophy
    Fan, Zheng
    Wang, Jiahui
    Ahn, Mihye
    Shiloh-Malawsky, Yael
    Chahin, Nizar
    Elmore, Sandra
    Bagnell, C. Robert, Jr.
    Wilber, Kathy
    An, Hongyu
    Lin, Weili
    Zhu, Hongtu
    Styner, Martin
    Kornegay, Joe N.
    NEUROMUSCULAR DISORDERS, 2014, 24 (02) : 178 - 191
  • [34] Magnetic Resonance Imaging characteristics in case of TOR1AIP1 muscular dystrophy
    Bhatia, Aashim
    Mobley, Bret C.
    Cogan, Joy
    Koziura, Mary E.
    Brokamp, Elly
    Phillips, John
    Newman, John
    Acosta, Maria T.
    Adams, David R.
    Agrawal, Pankaj
    Alejandro, Mercedes E.
    Allard, Patrick
    Alvey, Justin
    Andrews, Ashley
    Ashley, Euan A.
    Azamian, Mahshid S.
    Bacino, Carlos A.
    Bademci, Guney
    Baker, Eva
    Balasubramanyam, Ashok
    Baldridge, Dustin
    Bale, Jim
    Barbouth, Deborah
    Batzli, Gabriel F.
    Bayrak-Toydemir, Pinar
    Beggs, Alan H.
    Bejerano, Gill
    Bellen, Hugo J.
    Bernstein, Jonathan A.
    Berry, Gerard T.
    Bican, Anna
    Bick, David P.
    Birch, Camille L.
    Bivona, Stephanie
    Bohnsack, John
    Bonnenmann, Carsten
    Bonner, Devon
    Boone, Braden E.
    Bostwick, Bret L.
    Botto, Lorenzo
    Briere, Lauren C.
    Brokamp, Elly
    Brown, Donna M.
    Brush, Matthew
    Burke, Elizabeth A.
    Burrage, Lindsay C.
    Butte, Manish J.
    Carey, John
    Carrasquillo, Olveen
    Chang, Ta Chen Peter
    CLINICAL IMAGING, 2019, 58 : 108 - 113
  • [35] Longitudinal 2-point dixon muscle magnetic resonance imaging in becker muscular dystrophy
    Bonati, Ulrike
    Schmid, Maurice
    Hafner, Patricia
    Haas, Tanja
    Bieri, Oliver
    Gloor, Monika
    Fischmann, Arne
    Fischer, Dirk
    MUSCLE & NERVE, 2015, 51 (06) : 918 - 921
  • [36] Assessment of cardiac involvement in myotonic muscular dystrophy by T1 mapping on magnetic resonance imaging
    Turkbey, Evrim B.
    Gai, Neville
    Lima, Joao A. C.
    van der Geest, Rob J.
    Wagner, Kathryn R.
    Tomaselli, Gordon F.
    Bluemke, David A.
    Nazarian, Saman
    HEART RHYTHM, 2012, 9 (10) : 1691 - 1697
  • [37] MAGNETIC RESONANCE IMAGING IN DUCHENNE MUSCULAR DYSTROPHY: LONGITUDINAL ASSESSMENT OF NATURAL HISTORY OVER 18 MONTHS
    Hollingsworth, Kieren G.
    Garrood, Penny
    Eagle, Michelle
    Bushby, Kate
    Straub, Volker
    MUSCLE & NERVE, 2013, 48 (04) : 586 - 588
  • [38] Quantitative magnetic resonance imaging measures as biomarkers of disease progression in boys with Duchenne muscular dystrophy: a phase 2 trial of domagrozumab
    Sarah P. Sherlock
    Jeffrey Palmer
    Kathryn R. Wagner
    Hoda Z. Abdel-Hamid
    Enrico Bertini
    Cuixia Tian
    Jean K. Mah
    Anna Kostera-Pruszczyk
    Francesco Muntoni
    Michela Guglieri
    John F. Brandsema
    Eugenio Mercuri
    Russell J. Butterfield
    Craig M. McDonald
    Lawrence Charnas
    Shannon Marraffino
    Journal of Neurology, 2022, 269 : 4421 - 4435
  • [39] Utilization of Multi-Parametric Quantitative Magnetic Resonance Imaging in the Early Diagnosis of Duchenne Muscular Dystrophy
    Peng, Fei
    Tang, Deqiu
    Qing, Weipeng
    Chen, Wei
    Li, Shuhao
    Guo, Yingkun
    Luo, Guanghua
    Zhao, Heng
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (04) : 1402 - 1413
  • [40] Musculoskeletal magnetic resonance imaging in the DE50-MD dog model of Duchenne muscular dystrophy
    Hornby, Natasha L.
    Drees, Randi
    Harron, Rachel
    Chang, Ruby
    Wells, Dominic J.
    Piercy, Richard J.
    NEUROMUSCULAR DISORDERS, 2021, 31 (08) : 736 - 751