Literature DB >> 35154555

Using Smartphones for Clinical Assessment in Cervical Spondylotic Myelopathy a Feasibility Study.

Julien Francisco Zaldivar-Jolissaint1, François Lechanoine1, Bernard Krummenacher2, Rivus Ferreira Arruda3, Lukas Bobinski4, Emmanuel de Schlichting1, John Michael Duff5.   

Abstract

Degenerative cervical myelopathy (DCM) is characterized by a progressive deterioration in spinal cord function. Its evaluation requires subjective clinical examination with wide interobserver variability. Objective quantification of spinal cord function remains imprecise, even though validated myelopathy-grading scales have emerged and are now widely used. We created a Smartphone Application, the N-Outcome App, with the aim of quantifying accurately and reliably spinal cord dysfunction using a 5-minute Test. A patient suffering from DCM was clinically evaluated before surgery, at 3 and 6 months follow-up after surgical decompression of the cervical spinal cord. Standard scores (Nurick grade, modified Japanese Orthopedic Association (mJOA) score) were documented at these time points. A 5-minute motor and proprioceptive performance test aided by a smartphone with the N-outcome App was also performed. Motor performance in rapid alternating movements and finger tapping improved in correlation with improvements in standard grading scale scores. Clinical improvements were seen in maximum reflex acceleration and in Romberg testing which showed less closed/open eyes variation, suggesting pyramidal and proprioceptive function recovery. We demonstrate that using the N-Outcome App as an adjunct to clinical evaluation of compressive myelopathy is feasible and potentially useful. The results correlate with the results of clinical assessment obtained by standard validated myelopathy scores.
Copyright © 2021 by ASME.

Entities:  

Keywords:  cervical spondylotic myelopathy; clinical assessment score; scoring; smartphone; surgical outcome

Year:  2021        PMID: 35154555      PMCID: PMC8822463          DOI: 10.1115/1.4052609

Source DB:  PubMed          Journal:  J Med Device        ISSN: 1932-6181            Impact factor:   0.582


  11 in total

1.  The value of somatosensory- and motor-evoked potentials in predicting and monitoring the effect of therapy in spondylotic cervical myelopathy. Prospective randomized study.

Authors:  J Bednarík; Z Kadanka; S Vohánka; L Stejskal; O Vlach; R Schröder
Journal:  Spine (Phila Pa 1976)       Date:  1999-08-01       Impact factor: 3.468

2.  Comparison of Nurick grading system and modified Japanese Orthopaedic Association scoring system in evaluation of patients with cervical spondylotic myelopathy.

Authors:  Kumbhar Kartik Revanappa; Vedantam Rajshekhar
Journal:  Eur Spine J       Date:  2011-03-20       Impact factor: 3.134

3.  Smartphone-based evaluation of parkinsonian hand tremor: quantitative measurements vs clinical assessment scores.

Authors:  N Kostikis; D Hristu-Varsakelis; M Arnaoutoglou; C Kotsavasiloglou
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

4.  Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

Authors:  Andong Zhan; Srihari Mohan; Christopher Tarolli; Ruth B Schneider; Jamie L Adams; Saloni Sharma; Molly J Elson; Kelsey L Spear; Alistair M Glidden; Max A Little; Andreas Terzis; E Ray Dorsey; Suchi Saria
Journal:  JAMA Neurol       Date:  2018-07-01       Impact factor: 18.302

5.  The use of evoked potentials for clinical correlation and surgical outcome in cervical spondylotic myelopathy with intramedullary high signal intensity on MRI.

Authors:  R K Lyu; L M Tang; C J Chen; C M Chen; H S Chang; Y R Wu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2004-02       Impact factor: 10.154

Review 6.  Nonoperative Versus Operative Management for the Treatment Degenerative Cervical Myelopathy: An Updated Systematic Review.

Authors:  John Rhee; Lindsay A Tetreault; Jens R Chapman; Jefferson R Wilson; Justin S Smith; Allan R Martin; Joseph R Dettori; Michael G Fehlings
Journal:  Global Spine J       Date:  2017-09-05

7.  Degenerative Cervical Myelopathy; A Review of the Latest Advances and Future Directions in Management.

Authors:  Jamie R F Wilson; Jetan H Badhiwala; Ali Moghaddamjou; Allan R Martin; Michael G Fehlings
Journal:  Neurospine       Date:  2019-08-26

8.  The use of smartphone in measuring stance and gait patterns in patients with orthostatic tremor.

Authors:  Jung Hung Chien; Diego Torres-Russotto; Zhuo Wang; Chenfan Gui; David Whitney; Ka-Chun Siu
Journal:  PLoS One       Date:  2019-07-18       Impact factor: 3.240

Review 9.  Degenerative Cervical Myelopathy: A Brief Review of Past Perspectives, Present Developments, and Future Directions.

Authors:  Aria Nouri; Joseph S Cheng; Benjamin Davies; Mark Kotter; Karl Schaller; Enrico Tessitore
Journal:  J Clin Med       Date:  2020-02-16       Impact factor: 4.241

10.  Mobile Romberg test assessment (mRomberg).

Authors:  Alejandro Galán-Mercant; Antonio I Cuesta-Vargas
Journal:  BMC Res Notes       Date:  2014-09-12
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