RSS-Feed abonnieren

DOI: 10.1590/0004-282X-ANP-2020-0587
Evaluation of upper extremity ataxia through image processing in individuals with multiple sclerosis
Avaliação da ataxia da extremidade superior por processamento de imagem em indivíduos com esclerose múltipla
ABSTRACT
Background: Impaired dexterity is a frequently reported disability among people with ataxic multiple sclerosis (MS). Objective: To quantify and standardize the evaluation of upper extremity coordination disorder among patients with multiple sclerosis (MS), using the Tablet Ataxia Assessment Program (TAAP). Methods: The X and Y axis movements of 50 MS patients and 30 healthy individuals who were evaluated using the International Cooperative Ataxia Rating Scale (ICARS) were also assessed using TAAP. The functional times of the participants’ right and left hands were recorded using the nine-hole peg test (NHPT). The upper extremity coordination of individuals with MS was evaluated using the upper extremity kinetic functions section of ICARS. Results: The deviations for the X and Y axis movements of the MS group were greater than those of the control group (p<0.05). Significant correlations were shown between TAAP scores and NHPT and ICARS scores. The strongest correlation was found between NHPT and ICARS in the dominant hand (rnhpt=0.356, pnhpt=0.001; ricars=0.439, picars=0.000). In correlating the Y axis with ICARS, the deviations in the Y axis were found to be greater in the non-dominant hand than those in the X axis (ryright=0.402, pyright=0.004; ryleft=0.691, pyleft=0.000).
Conclusion: Measurement using TAAP is more sensitive than other classical and current methods for evaluating ataxia. We think that TAAP is an objective tool that will allow neurorehabilitation professionals and clinicians to evaluate upper extremity coordination.
RESUMO
Antecedentes: Destreza prejudicada é uma deficiência frequentemente relatada em pessoas com esclerose múltipla (EM) atáxica. Objetivo: Nosso objetivo é quantificar e padronizar a avaliação do distúrbio de coordenação da extremidade superior em pacientes com EM usando o Tablet Ataxia Assessment Program (TAAP). Métodos: Os movimentos dos eixos X e Y de 50 EM e 30 indivíduos saudáveis que foram avaliados com a International Cooperative Ataxia Rating Scale (ICARS) também foram avaliados com TAAP. Os tempos funcionais das mãos direita e esquerda dos participantes foram registrados usando o teste de nove pinos (NHPT). A coordenação da extremidade superior de indivíduos com EM foi avaliada com a seção de funções cinéticas da extremidade superior do ICARS. Resultados: Os desvios para os movimentos dos eixos X e Y do grupo MS foram maiores do que os do grupo controle (p <0,05). Correlações significativas foram mostradas entre os escores do TAAP e os escores do NHPT e do ICARS. A correlação mais forte foi encontrada entre NHPT e ICARS na mão dominante (rnhpt=0,356, pnhpt=0,001, ricars=0,439 e picars=0,000). Na correlação do eixo Y com ICARS, observou-se que os desvios no eixo Y foram maiores na mão não dominante do que no eixo X (ryright=0,402, pyright=0,004, ryleft=0,691 e pyleft=0,000). Conclusão: A medição com TAAP é mais sensível do que outros métodos clássicos e atuais de avaliação de ataxia. Acreditamos que o TAAP seja uma ferramenta objetiva que permitirá aos profissionais de neurorreabilitação e médicos avaliar a coordenação dos membros superiores.
Authors’ contributions:
FE: study design, data analysis; IY: interpretation of sensor data, patient recruitment and evaluation; AUU: drafting the work or revising it critically for important intellectual content; MA: interpretation of data for study, drafting the work or revising it critically for important intellectual content.
Publikationsverlauf
Eingereicht: 22. Januar 2021
Angenommen: 11. April 2021
Artikel online veröffentlicht:
31. Januar 2023
© 2021. Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
-
References
- 1 Barin L, Salmen A, Disanto G, Babačić H, Calabrese P, Chan A. et al. The disease burden of Multiple Sclerosis from the individual and population perspective: Which symptoms matter most?. Mult Scler Relat Disord 2018; Oct; 25: 112-121 https://doi.org/10.1016/j.msard.2018.07.013
- 2
Kurtzke JF.
Rating neurologic impairment in multiple sclerosis: an expanded disability status
scale (EDSS). Neurology 1983; Nov; 33 (11) 1444-1452 https://doi.org/10.1212/wnl.33.11.1444
MissingFormLabel
- 3 Dow RS, The clinical symptomatology of cerebellar disorders. Dow RS, Moruzzi G. The physiology and pathology of the cerebellum. Minneapolis: The University of Minnesota Press; 1958: 392-392
- 4 Trouillas P, Takayanagi T, Hallett M, Currier RD, Subramony SH, Wessel K. et al. International Cooperative Ataxia Rating Scale for pharmacological assessment of the cerebellar syndrome. The Ataxia Neuropharmacology Committee of the World Federation of Neurology. J Neurol Sci 1997; Feb; 145 (02) 205-211 https://doi.org/10.1016/s0022-510x(96)00231-6
- 5
Schmitz-Hübsch T,
du Montcel ST,
Baliko L,
Berciano J,
Boesch S,
Depondt C.
et al.
Scale for the assessment and rating of ataxia: development of a new clinical scale.
Neurology 2006; Jun; 66 (11) 1717-1720 https://doi.org/10.1212/01.wnl.0000219042.60538.92
MissingFormLabel
- 6 Fisher E, Rudick RA, Cutter G, Baier M, Miller D, Weinstock-Guttman B. et al. Relationship between brain atrophy and disability: an 8-year follow-up study of multiple sclerosis patients. Mult Scler 2000; Dec; 6 (06) 373-377 https://doi.org/10.1177/135245850000600602
- 7 Kalkers NF, Bergers L, de Groot V, Lazeron RH, van Walderveen MA, Uitdehaag BM. et al. Concurrent validity of the MS Functional Composite using MRI as a biological disease marker. Neurology 2001; Jan; 56 (02) 215-219 https://doi.org/10.1212/wnl.56.2.215
- 8 Cutter GR, Baier ML, Rudick RA, Cookfair DL, Fischer JS, Petkau J. et al. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain 1999; May; 122(Pt 5) 871-882 https://doi.org/10.1093/brain/122.5.871
- 9 Solaro C, Cattaneo D, Brichetto G, Castelli L, Tacchino A, Gervasoni E. et al. Clinical correlates of 9-hole peg test in a large population of people with multiple sclerosis. Mult Scler Relat Disord 2019; May; 30: 1-8 https://doi.org/10.1016/j.msard.2019.01.043
- 10 Poser CM, Paty DW, Scheinberg L, McDonald WI, Davis FA, Ebers GC. et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983; Mar; 13 (03) 227-231 https://doi.org/10.1002/ana.410130302
- 11
Kellor M,
Frost J,
Silberberg N,
Iversen I,
Cummings R.
Hand strength and dexterity. Am J Occup Ther 1971; Mar; 25 (02) 77-83
MissingFormLabel
- 12 Lamers I, Kelchtermans S, Baert I, Feys P. Upper limb assessment in multiple sclerosis: a systematic review of outcome measures and their psychometric properties. Arch Phys Med Rehabil 2014; Jun; 95 (06) 1184-1200 https://doi.org/10.1016/j.apmr.2014.02.023
- 13 Poole JL, Burtner PA, Torres TA, McMullen CK, Markham A, Marcum ML. et al. Measuring dexterity in children using the Nine-hole Peg Test. J Hand Ther 2005; Jul-Sep 18 (03) 348-351 https://doi.org/10.1197/j.jht.2005.04.003
- 14 Storey E, Tuck K, Hester R, Hughes A, Churchyard A. Inter-rater reliability of the International Cooperative Ataxia Rating Scale (ICARS). Mov Disord 2004; Feb; 19 (02) 190-192 https://doi.org/10.1002/mds.10657
- 15 Salcı Y, Fil A, Keklicek H, Çetin B, Armutlu K, Dolgun A. et al. Validity and reliability of the International Cooperative Ataxia Rating Scale (ICARS) and the Scale for the Assessment and Rating of Ataxia (SARA) in multiple sclerosis patients with ataxia. Mult Scler Relat Disord 2017; Nov; 18: 135-140 https://doi.org/10.1016/j.msard.2017.09.032
- 16 Kurtzke JF. On the origin of EDSS., Mult. Scler. Relat. Disord 2015; 4: 95-103 https://doi.org/10.1016/j.msard.2015.02.003
- 17 Kari Pulli, Anatoly Baksheev, Kirill Kornyakov, Victor Eruhimov. Realtime Computer Vision with OpenCV: Mobile computer-vision technology will soon become as ubiquitous as touch interfaces. 2012. Queue 2012; Apr; 10 (04) 40-56 https://doi.org/10.1145/2181796.2206309
- 18
Faul F,
Erdfelder E,
Lang AG,
Buchner A.
G*Power 3: a flexible statistical power analysis program for the social, behavioral,
and biomedical sciences. Behav Res Methods 2007; May; 39 (02) 175-191 https://doi.org/10.3758/bf03193146
MissingFormLabel
- 19 Germanotta M, Vasco G, Petrarca M, Rossi S, Carniel S, Bertini E. et al. Robotic and clinical evaluation of upper limb motor performance in patients with Friedreich’s Ataxia: an observational study. J Neuroeng Rehabil 2015; Apr; 12: 41-41 https://doi.org/10.1186/s12984-015-0032-6
- 20 Rosner B, Grove D. Use of the Mann-Whitney U-test for clustered data. Stat Med 1999; 18 (11) 1387-1400 https://doi.org/10.1002/(sici)1097-0258(19990615)18:11<1387::aid-sim126>3.0.co;2-v
- 21 Green SB, Salkind NJ. Using SPSS for Windows and Macintosh, Books a la Carte. 8th ed.. Texas: Pearson; 2016
- 22 Erasmus LP, Sarno S, Albrecht H, Schwecht M, Pöllmann W, König N. Measurement of ataxic symptoms with a graphic tablet: standard values in controls and validity in Multiple Sclerosis patients. J Neurosci Methods 2001; Jul; 108 (01) 25-37 https://doi.org/10.1016/s0165-0270(01)00373-9
- 23 Maurel N, Diop A, Gouelle A, Alberti C, Husson I. Assessment of upper limb function in young Friedreich ataxia patients compared to control subjects using a new three-dimensional kinematic protocol. Clin Biomech (Bristol, Avon) 2013; Apr; 28 (04) 386-394 https://doi.org/10.1016/j.clinbiomech.2013.02.007
- 24 Schmahmann JD, Gardner R, MacMore J, Vangel MG. Development of a brief ataxia rating scale (BARS) based on a modified form of the ICARS. Mov Disord 2009; Sep; 24 (12) 1820-1828 https://doi.org/10.1002/mds.22681
- 25 Ueda N, Hakii Y, Koyano S, Higashiyama Y, Joki H, Baba Y. et al. Quantitative analysis of upper-limb ataxia in patients with spinocerebellar degeneration. J Neurol 2014; Jul; 261 (07) 1381-1386 https://doi.org/10.1007/s00415-014-7353-4
- 26 Erdeo F, Armutlu K, Uca A, Yıldız İ. Multiple Skleroz’lu Hastalarda Üst Ekstremite Ataksisinin Bilgisayar Analizi İle Değerlendirilmesi. Dicle Tıp Dergisi 2017; Sep; 44 (03) 277-282 https://doi.org/10.5798/dicletip.339015
- 27 Nguyen KD, Corben LA, Pathirana PN, Horne MK, Delatycki MB, Szmulewicz DJ. An instrumented measurement scheme for the assessment of upper limb function in individuals with Friedreich Ataxia. Annu Int Conf IEEE Eng Med Biol Soc 2019; Jul; 317-320 https://doi.org/10.1109/EMBC.2019.8857107
- 28 Chitnis T, Glanz BI, Gonzalez C, Healy BC, Saraceno TJ, Sattarnezhad N. et al. Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis. npj Digit Med 2019; Dec; 2: 123-123 https://doi.org/10.1038/s41746-019-0197-7
- 29 Marini F, Chwastek C, Romei M, Cavalleri M, Bonato S, Reni G. Quantitative evaluation protocol for upper limb motor coordination analysis in patients with ataxia. Annu Int Conf IEEE Eng Med Biol Soc 2010; 2010: 6633-6636 https://doi.org/10.1109/IEMBS.2010.5627144
- 30 Kashyap B, Phan D, Pathirana PN, Horne M, Power L, Szmulewicz D. Objective Assessment of Cerebellar Ataxia: A Comprehensive and Refined Approach. Sci Rep 2020; Jun; 10 (01) 9493-9493 https://doi.org/10.1038/s41598-020-65303-7
- 31 Shaikh AG, Zee DS, Mandir AS, Lederman HM, Crawford TO. Disorders of Upper Limb Movements in Ataxia-Telangiectasia. PLoS One 2013; Jun; 8 (06) e67042 https://doi.org/10.1371/journal.pone.0067042
- 32 Albrecht H, Schwecht M, Pöllmann W, Parag D, Erasmus LP, König N. Local ice application in therapy of kinetic limb ataxia. Clinical assessment of positive treatment effects in patients with multiple sclerosis. Nervenarzt 1998; Dec; 69 (12) 1066-1073 https://doi.org/10.1007/s001150050384
- 33 Krishna R, Pathirana PN, Horne M, Power L, Szmulewicz DJ. Quantitative assessment of cerebellar ataxia, through automated limb functional tests. J Neuroeng Rehabil 2019; Feb; 16 (01) 31-31 https://doi.org/10.1186/s12984-019-0490-3
- 34 Carpinella I, Cattaneo D, Abuarqub S, Ferrarin M. Robot-based rehabilitation of the upper limbs in multiple sclerosis: feasibility and preliminary results. J Rehabil Med 2009; Nov; 41 (12) 966-970 https://doi.org/10.2340/16501977-0401
- 35 Menegoni F, Milano E, Trotti C, Galli M, Bigoni M, Baudo S. et al. Quantitative evaluation of functional limitation of upper limb movements in subjects affected by ataxia. Eur J Neurol 2009; Feb; 16 (02) 232-239 https://doi.org/10.1111/j.1468-1331.2008.02396.x
- 36 Quintern J, Immisch I, Albrecht H, Pöllmann W, Glasauer S, Straube A. Influence of visual and proprioceptive afferences on upper limb ataxia in patients with multiple sclerosis. J Neurol Sci 1999; Feb; 163 (01) 61-69 https://doi.org/10.1016/s0022-510x(99)00006-4