Cargando…
Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses
BACKGROUND: Spinal cord dysfunction/compression and ataxia are common in horses. Presumptive diagnosis is most commonly based on neurological examination and cervical radiography, but the interest into the diagnostic value of transcranial magnetic stimulation (TMS) with recording of magnetic motor e...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096606/ https://www.ncbi.nlm.nih.gov/pubmed/32030834 http://dx.doi.org/10.1111/jvim.15699 |
_version_ | 1783510846186455040 |
---|---|
author | Rijckaert, Joke Raes, Els Buczinski, Sebastien Dumoulin, Michèle Deprez, Piet Van Ham, Luc van Loon, Gunther Pardon, Bart |
author_facet | Rijckaert, Joke Raes, Els Buczinski, Sebastien Dumoulin, Michèle Deprez, Piet Van Ham, Luc van Loon, Gunther Pardon, Bart |
author_sort | Rijckaert, Joke |
collection | PubMed |
description | BACKGROUND: Spinal cord dysfunction/compression and ataxia are common in horses. Presumptive diagnosis is most commonly based on neurological examination and cervical radiography, but the interest into the diagnostic value of transcranial magnetic stimulation (TMS) with recording of magnetic motor evoked potentials has increased. The problem for the evaluation of diagnostic tests for spinal cord dysfunction is the absence of a gold standard in the living animal. OBJECTIVES: To compare diagnostic accuracy of TMS, cervical radiography, and neurological examination. ANIMALS: One hundred seventy‐four horses admitted at the clinic for neurological examination. METHODS: Retrospective comparison of neurological examination, cervical radiography, and different TMS criteria, using Bayesian latent class modeling to account for the absence of a gold standard. RESULTS: The Bayesian estimate of the prevalence (95% CI) of spinal cord dysfunction was 58.1 (48.3%‐68.3%). Sensitivity and specificity of neurological examination were 97.6 (91.4%‐99.9%) and 74.7 (61.0%‐96.3%), for radiography they were 43.0 (32.3%‐54.6%) and 77.3 (67.1%‐86.1%), respectively. Transcranial magnetic stimulation reached a sensitivity and specificity of 87.5 (68.2%‐99.2%) and 97.4 (90.4%‐99.9%). For TMS, the highest accuracy was obtained using the minimum latency time for the pelvic limbs (Youden's index = 0.85). In all evaluated models, cervical radiography performed poorest. CLINICAL RELEVANCE: Transcranial magnetic stimulation‐magnetic motor evoked potential (TMS‐MMEP) was the best test to diagnose spinal cord disease, the neurological examination was the second best, but the accuracy of cervical radiography was low. Selecting animals based on neurological examination (highest sensitivity) and confirming disease by TMS‐MMEP (highest specificity) would currently be the optimal diagnostic strategy. |
format | Online Article Text |
id | pubmed-7096606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70966062020-03-26 Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses Rijckaert, Joke Raes, Els Buczinski, Sebastien Dumoulin, Michèle Deprez, Piet Van Ham, Luc van Loon, Gunther Pardon, Bart J Vet Intern Med EQUID BACKGROUND: Spinal cord dysfunction/compression and ataxia are common in horses. Presumptive diagnosis is most commonly based on neurological examination and cervical radiography, but the interest into the diagnostic value of transcranial magnetic stimulation (TMS) with recording of magnetic motor evoked potentials has increased. The problem for the evaluation of diagnostic tests for spinal cord dysfunction is the absence of a gold standard in the living animal. OBJECTIVES: To compare diagnostic accuracy of TMS, cervical radiography, and neurological examination. ANIMALS: One hundred seventy‐four horses admitted at the clinic for neurological examination. METHODS: Retrospective comparison of neurological examination, cervical radiography, and different TMS criteria, using Bayesian latent class modeling to account for the absence of a gold standard. RESULTS: The Bayesian estimate of the prevalence (95% CI) of spinal cord dysfunction was 58.1 (48.3%‐68.3%). Sensitivity and specificity of neurological examination were 97.6 (91.4%‐99.9%) and 74.7 (61.0%‐96.3%), for radiography they were 43.0 (32.3%‐54.6%) and 77.3 (67.1%‐86.1%), respectively. Transcranial magnetic stimulation reached a sensitivity and specificity of 87.5 (68.2%‐99.2%) and 97.4 (90.4%‐99.9%). For TMS, the highest accuracy was obtained using the minimum latency time for the pelvic limbs (Youden's index = 0.85). In all evaluated models, cervical radiography performed poorest. CLINICAL RELEVANCE: Transcranial magnetic stimulation‐magnetic motor evoked potential (TMS‐MMEP) was the best test to diagnose spinal cord disease, the neurological examination was the second best, but the accuracy of cervical radiography was low. Selecting animals based on neurological examination (highest sensitivity) and confirming disease by TMS‐MMEP (highest specificity) would currently be the optimal diagnostic strategy. John Wiley & Sons, Inc. 2020-02-06 2020-03 /pmc/articles/PMC7096606/ /pubmed/32030834 http://dx.doi.org/10.1111/jvim.15699 Text en © 2020 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | EQUID Rijckaert, Joke Raes, Els Buczinski, Sebastien Dumoulin, Michèle Deprez, Piet Van Ham, Luc van Loon, Gunther Pardon, Bart Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title | Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title_full | Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title_fullStr | Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title_full_unstemmed | Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title_short | Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
title_sort | accuracy of transcranial magnetic stimulation and a bayesian latent class model for diagnosis of spinal cord dysfunction in horses |
topic | EQUID |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096606/ https://www.ncbi.nlm.nih.gov/pubmed/32030834 http://dx.doi.org/10.1111/jvim.15699 |
work_keys_str_mv | AT rijckaertjoke accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT raesels accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT buczinskisebastien accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT dumoulinmichele accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT deprezpiet accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT vanhamluc accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT vanloongunther accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses AT pardonbart accuracyoftranscranialmagneticstimulationandabayesianlatentclassmodelfordiagnosisofspinalcorddysfunctioninhorses |