Comparison of quantitative muscle ultrasound and whole-body muscle MRI in facioscapulohumeral muscular dystrophy type 1 patients

被引:6
作者
Fionda, Laura [1 ]
Vanoli, Fiammetta [1 ,2 ]
Di Pasquale, Antonella [3 ]
Leonardi, Luca [1 ]
Morino, Stefania [1 ]
Merlonghi, Gioia [1 ]
Lauletta, Antonio [1 ]
Alfieri, Girolamo [1 ,2 ]
Costanzo, Rocco [1 ]
Tufano, Laura [1 ]
Rossini, Elena [1 ]
Bucci, Elisabetta [1 ]
Grossi, Andrea [1 ]
Tupler, Rossella [4 ]
Salvetti, Marco [1 ]
Garibaldi, Matteo [1 ]
Antonini, Giovanni [1 ]
机构
[1] SAPIENZA Univ Rome, St Andrea Hosp, Fac Med & Psychol, Dept Neurosci,Neuromuscular & Rare Dis Ctr,Mental, Via Grottarossa 1035-1039, I-00189 Rome, Italy
[2] Fdn IRCCS Ist Neurol Carlo Besta, Neurol Neuroimmunol & Neuromuscular Dis Unit 4, I-20133 Milan, Italy
[3] E Agnelli Hosp, Dept Neurol, Turin, Italy
[4] Univ Modena & Reggio Emilia, Dept Life Sci, Modena, Italy
关键词
Facioscapulohumeral muscular dystrophy; Muscle disorders; Muscle ultrasound; MRI; Biomarkers; FSHD; ULTRASONOGRAPHY;
D O I
10.1007/s10072-023-06842-5
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction Muscle ultrasound is a fast, non-invasive and cost-effective examination that can identify structural muscular changes by assessing muscle thickness and echointensity (EI) with a quantitative analysis (QMUS). To assess applicability and repeatability of QMUS, we evaluated patients with genetically confirmed facioscapulohumeral muscular dystrophy type 1 (FSHD1), comparing their muscle ultrasound characteristics with healthy controls and with those detected by MRI. We also evaluated relationships between QMUS and demographic and clinical characteristics. Materials and methods Thirteen patients were included in the study. Clinical assessment included MRC sum score, FSHD score and The Comprehensive Clinical Evaluation Form (CCEF). QMUS was performed with a linear transducer scanning bilaterally pectoralis major, deltoid, rectus femoris, tibialis anterior and semimembranosus muscles in patients and healthy subjects. For each muscle, we acquired three images, which were analysed calculating muscle EI by computer-assisted grey-scale analysis. QMUS analysis was compared with semiquantitative 1.5 T muscle MRI scale. Results All muscles in FSHD patients showed a significant increased echogenicity compared to the homologous muscles in healthy subjects. Older subjects and patients with higher FSHD score presented increased muscle EI. Tibialis anterior MRC showed a significant inverse correlation with EI. Higher median EI was found in muscles with more severe MRI fat replacement. Conclusions QMUS allows quantitative evaluation of muscle echogenicity, displaying a tight correlation with muscular alterations, clinical and MRI data. Although a confirmation on larger sample is needed, our research suggests a possible future application of QMUS in diagnosis and management of muscular disorders.
引用
收藏
页码:4057 / 4064
页数:8
相关论文
共 34 条
[1]   Quantitative muscle ultrasonography in amyotrophic lateral sclerosis [J].
Arts, Ilse M. P. ;
van Rooij, Frank G. ;
Overeem, Sebasttaan ;
Pillen, Sigrid ;
Janssen, Henny M. H. A. ;
Schelhaas, H. Jurgen ;
Zwarts, Machiel J. .
ULTRASOUND IN MEDICINE AND BIOLOGY, 2008, 34 (03) :354-361
[2]   Quantifying fat replacement of muscle by quantitative MRI in muscular dystrophy [J].
Burakiewicz, Jedrzej ;
Sinclair, Christopher D. J. ;
Fischer, Dirk ;
Walter, Glenn A. ;
Kan, Hermien E. ;
Hollingsworth, Kieren G. .
JOURNAL OF NEUROLOGY, 2017, 264 (10) :2053-2067
[3]   A quantitative method to assess muscle edema using short TI inversion recovery MRI [J].
Dahlqvist, Julia R. ;
Salim, Ruth ;
Thomsen, Carsten ;
Vissing, John .
SCIENTIFIC REPORTS, 2020, 10 (01)
[4]   MUSCLE IMAGING IN NEUROMUSCULAR DISEASE USING COMPUTERIZED REAL-TIME SONOGRAPHY [J].
FISCHER, AQ ;
CARPENTER, DW ;
HARTLAGE, PL ;
CARROLL, JE ;
STEPHENS, S .
MUSCLE & NERVE, 1988, 11 (03) :270-275
[5]   Distinct muscle imaging patterns in myofibrillar myopathies [J].
Fischer, D. ;
Kley, R. A. ;
Strach, K. ;
Meyer, C. ;
Sommer, T. ;
Eger, K. ;
Rolfs, A. ;
Meyer, W. ;
Pou, A. ;
Pradas, J. ;
Heyer, C. M. ;
Grossmann, A. ;
Huebner, A. ;
Kress, W. ;
Reimann, J. ;
Schroeder, R. ;
Eymard, B. ;
Fardeau, M. ;
Udd, B. ;
Goldfarb, L. ;
Vorgerd, M. ;
Olive, M. .
NEUROLOGY, 2008, 71 (10) :758-765
[6]   Genetic characterization of a large, historically significant Utah kindred with facioscapulohumeral dystrophy [J].
Flanigan, KM ;
Coffeen, CM ;
Sexton, L ;
Stauffer, D ;
Brunner, S ;
Leppert, MF .
NEUROMUSCULAR DISORDERS, 2001, 11 (6-7) :525-529
[7]   Muscle magnetic resonance imaging in myotonic dystrophy type 1 (DM1): Refining muscle involvement and implications for clinical trials [J].
Garibaldi, Matteo ;
Nicoletti, Tommaso ;
Bucci, Elisabetta ;
Fionda, Laura ;
Leonardi, Luca ;
Morino, Stefania ;
Tufano, Laura ;
Alfieri, Girolamo ;
Lauletta, Antonio ;
Merlonghi, Gioia ;
Perna, Alessia ;
Rossi, Salvatore ;
Ricci, Enzo ;
Perez, Jorge Alonso ;
Tartaglione, Tommaso ;
Petrucci, Antonio ;
Pennisi, Elena Maria ;
Salvetti, Marco ;
Cutter, Gary ;
Diaz-Manera, Jordi ;
Silvestri, Gabriella ;
Antonini, Giovanni .
EUROPEAN JOURNAL OF NEUROLOGY, 2022, 29 (03) :843-854
[8]   Muscle MRI in neutral lipid storage disease (NLSD) [J].
Garibaldi, Matteo ;
Tasca, Giorgio ;
Diaz-Manera, Jordi ;
Ottaviani, Pierfancesco ;
Laschena, Francesco ;
Pantoli, Donatella ;
Gerevini, Simonetta ;
Fiorillo, Chiara ;
Maggi, Lorenzo ;
Tasca, Elisabetta ;
D'Amico, Adele ;
Musumeci, Olimpia ;
Toscano, Antonio ;
Bruno, Claudio ;
Massa, Roberto ;
Angelini, Corrado ;
Bertini, Enrico ;
Antonini, Giovanni ;
Pennisi, Elena Maria .
JOURNAL OF NEUROLOGY, 2017, 264 (07) :1334-1342
[9]   Muscle MRI findings in facioscapulohumeral muscular dystrophy [J].
Gerevini, Simonetta ;
Scarlato, Marina ;
Maggi, Lorenzo ;
Cava, Mariangela ;
Caliendo, Giandomenico ;
Pasanisi, Barbara ;
Falini, Andrea ;
Previtali, Stefano Carlo ;
Morandi, Lucia .
EUROPEAN RADIOLOGY, 2016, 26 (03) :693-705
[10]   Muscle ultrasound is a responsive biomarker in facioscapulohumeral dystrophy [J].
Goselink, Rianne J. M. ;
Schreuder, Tim H. A. ;
Mul, Karlien ;
Voermans, Nicol C. ;
Erasmus, Corrie E. ;
van Engelen, Baziel G. M. ;
van Alfen, Nens .
NEUROLOGY, 2020, 94 (14) :E1488-E1494