Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy.


Journal

Clinical neuroradiology
ISSN: 1869-1447
Titre abrégé: Clin Neuroradiol
Pays: Germany
ID NLM: 101526693

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 02 08 2019
accepted: 30 12 2019
pubmed: 25 1 2020
medline: 6 11 2021
entrez: 25 1 2020
Statut: ppublish

Résumé

Aim of this study is to compare Quantitative Magnetic Resonance Imaging (qMRI) measures between Becker Muscular Dystrophy (BMD) and Healthy Subjects (HS) and to correlate these parameters with clinical scores. Ten BMD patients (mean age ±standard deviation: 38.7 ± 15.0 years) and ten age-matched HS, were investigated through magnetic resonance imaging (MRI) at thigh and calf levels, including: 1) a standard axial T1-weighted sequence; 2) a volumetric T2-weighted sequence; 3) a multiecho spin-echo sequence; 4) a 2-point Dixon sequence; 5) a Diffusion Tensor Imaging (DTI) sequence. Mean Fat Fraction (FF), T2-relaxation time and Fractional Anisotropy (FA) DTI at thigh and calf levels were significantly higher in BMD patients than in HS (p-values < 0.01). FF at thigh and calf levels significantly correlated with North Star Ambulatory Assessment (NSAA) score (p-values < 0.01) and6 Minutes Walking Test (6MWT) (p-values < 0.01), whereas only calf muscle FF was significantly associated with time to get up from floor (p-value = 0.01). T2 significantly correlated with NSAA score (p-value < 0.01), 6MWT (p-value = 0.02) and time to get up from floor (p-value < 0.01) only at calf level. Among DTI values, only FA in thigh and calf muscles significantly correlated with NSAA score, 6MWT and 10-m walk (all p-values < 0.05); only FA in calf muscles significantly correlated with time to get up from floor (p = 0.01). Muscle FF, T2-relaxometry and DTI, seem to be a promising biomarker to assess BMD disease severity, although further studies are needed to evaluate changes over the time.

Identifiants

pubmed: 31974637
doi: 10.1007/s00062-019-00875-0
pii: 10.1007/s00062-019-00875-0
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

257-266

Références

Beggs AH, Hoffman EP, Snyder JR, Arahata K, Specht L, Shapiro F, Angelini C, Sugita H, Kunkel LM. Exploring the molecular basis for variability among patients with Becker muscular dystrophy: dystrophin gene and protein studies. Am J Hum Genet. 1991;49:54–67.
pubmed: 2063877 pmcid: 1683222
Bushby KM, Gardner-Medwin D. The clinical, genetic and dystrophin characteristics of Becker muscular dystrophy. J Neurol. 1993;240:98–104.
doi: 10.1007/BF00858725 pubmed: 8437027
Comi GP, Prelle A, Bresolin N, Moggio M, Bardoni A, Gallanti A, Vita G, Toscano A, Ferro MT, Bordoni A, Fortunato F, Ciscato P, Felisari G, Tedeschi S, Castelli E, Garghentino R, Turconi A, Fraschini P, Marchi E, Negretto GG, Adobbati L, Meola G, Tonin P, Papadimitriou A, Scarlato G. Clinical variability in Becker muscular dystrophy genetic, biochemical and immunohistochemical correlates. Brain. 1994;117:1–14.
doi: 10.1093/brain/117.1.1-a pubmed: 8149204
Bladen CL, Rafferty K, Straub V, Monges S, Moresco A, Dawkins H, Roy A, Chamova T, Guergueltcheva V, Korngut L, Campbell C, Dai Y, Barišić N, Kos T, Brabec P, Rahbek J, Lahdetie J, Tuffery-Giraud S, Claustres M, Leturcq F, Ben Yaou R, Walter MC, Schreiber O, Karcagi V, Herczegfalvi A, Viswanathan V, Bayat F, de la Caridad Guerrero Sarmiento I, Ambrosini A, Ceradini F, Kimura E, van den Bergen JC, Rodrigues M, Roxburgh R, Lusakowska A, Oliveira J, Santos R, Neagu E, Butoianu N, Artemieva S, Rasic VM, Posada M, Palau F, Lindvall B, Bloetzer C, Karaduman A, Topaloğlu H, Inal S, Oflazer P, Stringer A, Shatillo AV, Martin AS, Peay H, Flanigan KM, Salgado D, von Rekowski B, Lynn S, Heslop E, Gainotti S, Taruscio D, Kirschner J, Verschuuren J, Bushby K, Béroud C, Lochmüller H. The TREAT-NMD Duchenne muscular dystrophy registries: conception, design, and utilization by industry and academia. Hum Mutat. 2013;34:1449–57.
doi: 10.1002/humu.22390 pubmed: 23913485
Fischmann A, Hafner P, Fasler S, Gloor M, Bieri O, Studler U, Fischer D. Quantitative MRI can detect subclinical disease progression in muscular dystrophy. J Neurol. 2012;259:1648–54.
doi: 10.1007/s00415-011-6393-2 pubmed: 22297459
Arpan I, Willcocks RJ, Forbes SC, Finkel RS, Lott DJ, Rooney WD, Triplett WT, Senesac CR, Daniels MJ, Byrne BJ, Finanger EL, Russman BS, Wang DJ, Tennekoon GI, Walter GA, Sweeney HL, Vandenborne K. Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS. Neurology. 2014;83:974–80.
doi: 10.1212/WNL.0000000000000775 pubmed: 25098537 pmcid: 4162304
Bonati U, Hafner P, Schädelin S, Schmid M, Naduvilekoot Devasia A, Schroeder J, Zuesli S, Pohlman U, Neuhaus C, Klein A, Sinnreich M, Haas T, Gloor M, Bieri O, Fischmann A, Fischer D10.Quantitative muscle MRI: a powerful surrogate outcome measure in Duchenne muscular dystrophy. Neuromuscul Disord. 2015;25:679–85.
doi: 10.1016/J.NMD.2015.05.006 pubmed: 26096788
Morrow JM, Sinclair CD, Fischmann A, Machado PM, Reilly MM, Yousry TA, Thornton JS, Hanna MG. MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study. Lancet Neurol. 2016;15:65–77.
doi: 10.1016/S1474-4422(15)00242-2 pubmed: 26549782 pmcid: 4672173
Gaeta M, Scribano E, Mileto A, Mazziotti S, Rodolico C, Toscano A, Settineri N, Ascenti G, Blandino A. Muscle fat fraction in neuromuscular disorders: dual-echo dual-flip-angle spoiled gradient-recalled MR imaging technique for quantification—a feasibility study. Radiology. 2011;259:487–94.
doi: 10.1148/radiol.10101108 pubmed: 21324839
Wren TAL, Bluml S, Tseng-Ong L, Gilsanz V. Three-point technique of fat quantification of muscle tissue as a marker of disease progression in Duchenne muscular dystrophy: preliminary study. AJR Am J Roentgenol. 2008;190:W8–12.
doi: 10.2214/AJR.07.2732
Gaeta M, Messina S, Mileto A, Vita GL, Ascenti G, Vinci S, Bottari A, Vita G, Settineri N, Bruschetta D, Racchiusa S, Minutoli F. Muscle fat-fraction and mapping in Duchenne muscular dystrophy: evaluation of disease distribution and correlation with clinical assessments preliminary experience. Skeletal Radiol. 2012;41:955–61.
doi: 10.1007/s00256-011-1301-5 pubmed: 22069033
Forbes SC, Walter GA, Rooney WD, Wang DJ, DeVos S, Pollaro J, Triplett W, Lott DJ, Willcocks RJ, Senesac C, Daniels MJ, Byrne BJ, Russman B, Finkel RS, Meyer JS, Sweeney HL, Vandenborne K. Skeletal muscles of ambulant children with Duchenne muscular dystrophy: validation of multicenter study of evaluation with MR imaging and MR spectroscopy. Radiology. 2013;269:198–207.
doi: 10.1148/radiol.13121948
Triplett WT, Baligand C, Forbes SC, Willcocks RJ, Lott DJ, DeVos S, Pollaro J, Rooney WD, Sweeney HL, Bönnemann CG, Wang DJ, Vandenborne K, Walter GA. Chemical shift-based MRI to measure fat fractions in dystrophic skeletal muscle. Magn Reson Med. 2014;72:8–19.
doi: 10.1002/mrm.24917 pubmed: 24006208
Carlier PG. Global T2 versus water T2 in NMR imaging of fatty infiltrated muscles: different methodology, different information and different implications. Neuromuscul Disord. 2014;24:390–2.
doi: 10.1016/j.nmd.2014.02.009 pubmed: 24656605
Heemskerk AM, Strijkers GJ, Vilanova A, Drost MR, Nicolay K. Determination of mouse skeletal muscle architecture using three-dimensional diffusion tensor imaging. Magn Reson Med. 2005;53:1333–40.
doi: 10.1002/mrm.20476 pubmed: 15906281
Hooijmans MT, Damon BM, Froeling M, Versluis MJ, Burakiewicz J, Verschuuren JJ, Niks EH, Webb AG, Kan HE. Evaluation of skeletal muscle DTI in patients with duchenne muscular dystrophy. NMR Biomed. 2015;28:1589–97.
doi: 10.1002/nbm.3427 pubmed: 26449628 pmcid: 4670831
Oudeman J, Nederveen AJ, Strijkers GJ, Maas M, Luijten PR, Froeling M. Techniques and applications of skeletal muscle diffusion tensor imaging: a review. J Magn Reson Imaging. 2016;43:773–88.
doi: 10.1002/jmri.25016 pubmed: 26221741
Wokke BH, van den Bergen JC, Versluis MJ, Niks EH, Milles J, Webb AG, van Zwet EW, Aartsma-Rus A, Verschuuren JJ, Kan HE. Quantitative MRI and strength measurements in the assessment of muscle quality in Duchenne muscular dystrophy. Neuromuscul Disord. 2014;24:409–16.
doi: 10.1016/j.nmd.2014.01.015 pubmed: 24613733
Willcocks RJ, Rooney WD, Triplett WT, Forbes SC, Lott DJ, Senesac CR, Daniels MJ, Wang DJ, Harrington AT, Tennekoon GI, Russman BS, Finanger EL, Byrne BJ, Finkel RS, Walter GA, Sweeney HL, Vandenborne K. Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large duchenne muscular dystrophy cohort. Ann Neurol. 2016;79:535–47.
doi: 10.1002/ana.24599 pubmed: 26891991 pmcid: 4955760
Hogrel JY, Wary C, Moraux A, Azzabou N, Decostre V, Ollivier G, Canal A, Lilien C, Ledoux I, Annoussamy M, Reguiba N, Gidaro T, Le Moing AG, Cardas R, Voit T, Carlier PG, Servais L. Longitudinal functional and NMR assessment of upper limbs in Duchenne muscular dystrophy. Neurology. 2016;86:1022–30.
doi: 10.1212/WNL.0000000000002464 pubmed: 26888987 pmcid: 4799716
Fischer D, Hafner P, Rubino D, Schmid M, Neuhaus C, Jung H, Bieri O, Haas T, Gloor M, Fischmann A, Bonati U.The 6‑minute walk test, motor function measure and quantitative thigh muscle MRI in Becker muscular dystrophy: a cross-sectional study. Neuromuscul Disord. 2016;26:414–22.
doi: 10.1016/J.NMD.2016.04.009 pubmed: 27209345
Marty B, Coppa B, Carlier PG. Monitoring skeletal muscle chronic fatty degenerations with fast T1-mapping. Eur Radiol. 2018;28:4662–8.
doi: 10.1007/s00330-018-5433-z pubmed: 29713767
Keller S, Wang ZJ, Aigner A, Kim AC, Golsari A, Kooijman H, Adam G, Yamamura J. Diffusion tensor imaging of dystrophic skeletal muscle. Clin Neuroradiol. 2019;29:231–42.
doi: 10.1007/s00062-018-0667-3 pubmed: 29392347
Løkken N, Hedermann G, Thomsen C, Vissing J. Contractile properties are disrupted in Becker muscular dystrophy, but not in limb girdle type 2I. Ann Neurol. 2016;80:466–71.
doi: 10.1002/ana.24743 pubmed: 27463532
Ricotti V, Evans MR, Sinclair CD, Butler JW, Ridout DA, Hogrel JY, Emira A, Morrow JM, Reilly MM, Hanna MG, Janiczek RL, Matthews PM, Yousry TA, Muntoni F, Thornton JS. Upper limb evaluation in Duchenne muscular dystrophy: fat-water quantification by MRI, muscle force and function define endpoints for clinical trials. PLoS One. 2016;11:e162542.
doi: 10.1371/journal.pone.0162542 pubmed: 27649492 pmcid: 5029878
Spitali P, Hettne K, Tsonaka R, Charrout M, van den Bergen J, Koeks Z, Kan HE, Hooijmans MT, Roos A, Straub V, Muntoni F, Al-Khalili-Szigyarto C, Koel-Simmelink MJA, Teunissen CE, Lochmüller H, Niks EH, Aartsma-Rus A. Tracking disease progression non-invasively in Duchenne and Becker muscular dystrophies. J Cachexia Sarcopenia Muscle. 2018;9:715–26.
doi: 10.1002/jcsm.12304 pubmed: 29682908 pmcid: 6104105
Mazzone E, Martinelli D, Berardinelli A, Messina S, D’Amico A, Vasco G, Main M, Doglio L, Politano L, Cavallaro F, Frosini S, Bello L, Carlesi A, Bonetti AM, Zucchini E, De Sanctis R, Scutifero M, Bianco F, Rossi F, Motta MC, Sacco A, Donati MA, Mongini T, Pini A, Battini R, Pegoraro E, Pane M, Pasquini E, Bruno C, Vita G, de Waure C, Bertini E, Mercuri E. North star ambulatory assessment, 6‑minute walk test and timed items in ambulant boys with Duchenne muscular dystrophy. Neuromuscul Disord. 2010;20:712–6.
doi: 10.1016/j.nmd.2010.06.014 pubmed: 20634072
Enright PL. The six-minute walk test. Respir Care. 2003;48:783–5.
Schmidt S, Hafner P, Klein A, Rubino-Nacht D, Gocheva V, Schroeder J, Naduvilekoot Devasia A, Zuesli S, Bernert G, Laugel V, Bloetzer C, Steinlin M, Capone A, Gloor M, Tobler P, Haas T, Bieri O, Zumbrunn T, Fischer D, Bonati U. 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;28:16–23.
doi: 10.1016/j.nmd.2017.10.003 pubmed: 29174526
Barp A, Bello L, Caumo L, Campadello P, Semplicini C, Lazzarotto A, Sorarù G, Calore C, Rampado A, Motta R, Stramare R, Pegoraro E. Muscle MRI and functional outcome measures in Becker muscular dystrophy. Sci Rep. 2017;7:16060.
doi: 10.1038/s41598-017-16170-2
Bello L, Campadello P, Barp A, Fanin M, Semplicini C, Sorarù G, Caumo L, Calore C, Angelini C, Pegoraro E. Author information Functional changes in Becker muscular dystrophy: implications for clinical trials in dystrophinopathies. Sci Rep. 2016;6:32439.
doi: 10.1038/srep32439 pubmed: 27582364 pmcid: 5007528
Tasca G, Iannaccone E, Monforte M, Masciullo M, Bianco F, Laschena F, Ottaviani P, Pelliccioni M, Pane M, Mercuri E, Ricci E. Muscle MRI in Becker muscular dystrophy. Neuromuscul Disord. 2012;22:S100–6.
doi: 10.1016/j.nmd.2012.05.015 pubmed: 22980760
Arpan I, Forbes SC, Lott DJ, Senesac CR, Daniels MJ, Triplett WT, Deol JK, Sweeney HL, Walter GA, Vandenborne K. T
doi: 10.1002/nbm.2851 pubmed: 23044995
Arpan I, Willcocks RJ, Forbes SC, Finkel RS, Lott DJ, Rooney WD, Triplett WT, Senesac CR, Daniels MJ, Byrne BJ, Finanger EL, Russman BS, Wang DJ, Tennekoon GI, Walter GA, Sweeney HL, Vandenborne K. Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS. Neurology. 2014;83:974–80.
doi: 10.1212/wnl.0000000000000775 pubmed: 25098537 pmcid: 4162304
Wokke BH, Van Den Bergen JC, Hooijmans MT, Verschuuren JJ, Niks EH, Kan HE. T2 relaxation times are increased in skeletal muscle of DMD but not BMD patients. Muscle Nerve. 2016;53:38–43.
doi: 10.1002/mus.24679 pubmed: 25847364
Ponrartana S, Ramos-Platt L, Wren TA, Hu HH, Perkins TG, Chia JM, Gilsanz V. Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study. Pediatr Radiol. 2015;45:582–9.
doi: 10.1007/s00247-014-3187-6 pubmed: 25246097
Zaraiskaya T, Kumbhare D, Noseworthy MD. Diffusion tensor imaging in evaluation of human skeletal muscle injury. J Magn Reson Imaging. 2006;24:402–8.
doi: 10.1002/jmri.20651 pubmed: 16823776
Williams SE, Heemskerk AM, Welch EB, Li K, Damon BM, Park JH. Quantitative effects of inclusion of fat on muscle diffusion tensor MRI measurements. J Magn Reson Imaging. 2013;38:1292–7.
doi: 10.1002/jmri.24045 pubmed: 23418124
Qi J, Olsen NJ, Price RR, Winston JA, Park JH. Diffusion-weighted imaging of inflammatory myopathies: polymyositis and dermatomyositis. J Magn Reson Imaging. 2008;27:212–7.
doi: 10.1002/jmri.21209 pubmed: 18022843
Pierpaoli C, Basser PJ. Toward a quantitative assessment of diffusion anisotropy. Magn Reson Med. 1996;36:893–906.
doi: 10.1002/mrm.1910360612
Li GD, Liang YY, Xu P, Ling J, Chen YM. Diffusion-tensor imaging of thigh muscles in Duchenne muscular dystrophy: correlation of apparent diffusion coefficient and fractional anisotropy values with fatty infiltration. AJR Am J Roentgenol. 2016;206:867–70.
doi: 10.2214/AJR.15.15028 pubmed: 27824492 pmcid: 5153883
Coombs BD, Szumowski J, Coshow W. Two-point Dixon technique for water-fat signal decomposition with B0 inhomogeneity correction. Magn Reson Med. 1997;38:884–9.
doi: 10.1002/mrm.1910380606 pubmed: 9402188

Auteurs

Lorenzo Maggi (L)

Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. lorenzo.maggi@istituto-besta.it.
Neurology IV-Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Via Celoria 11, 20133, Milan, Italy. lorenzo.maggi@istituto-besta.it.

Marco Moscatelli (M)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Rita Frangiamore (R)

Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Federica Mazzi (F)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Mattia Verri (M)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Alberto De Luca (A)

Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.

Maria Barbara Pasanisi (MB)

Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Giovanni Baranello (G)

Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Irene Tramacere (I)

Department of Research and Clinical Development, Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Luisa Chiapparini (L)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Maria Grazia Bruzzone (MG)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Renato Mantegazza (R)

Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Domenico Aquino (D)

Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

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