Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method

Purpose To determine if a novel analysis method will increase the diagnostic value of the multifocal electroretinogram (mfERG) in diagnosing early-stage multiple sclerosis (MS). Methods We studied the mfERG signals of OD (Oculus Dexter) eyes of fifteen patients diagnosed with early-stage MS (in all...

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Autores: Boquete, L., López-Guillén, E., Vilades, E., Miguel-Jiménez, J.M., Pablo, L.E., de Santiago, L., del Castillo, M.O., Alonso-Rodríguez, M.C., Morla, E.M.S., López-Dorado, A., Garcia-Martin, E.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Recursos:Universidad de Zaragoza
Repositorio:Zaguán. Repositorio Digital de la Universidad de Zaragoza
OAI Identifier:oai:zaguan.unizar.es:98221
Acesso em linha:http://zaguan.unizar.es/record/98221
Access Level:acceso abierto
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spelling Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis methodBoquete, L.López-Guillén, E.Vilades, E.Miguel-Jiménez, J.M.Pablo, L.E.de Santiago, L.del Castillo, M.O.Alonso-Rodríguez, M.C.Morla, E.M.S.López-Dorado, A.Garcia-Martin, E.Purpose To determine if a novel analysis method will increase the diagnostic value of the multifocal electroretinogram (mfERG) in diagnosing early-stage multiple sclerosis (MS). Methods We studied the mfERG signals of OD (Oculus Dexter) eyes of fifteen patients diagnosed with early-stage MS (in all cases < 12 months) and without a history of optic neuritis (ON) (F: M = 11:4), and those of six controls (F:M = 3:3). We obtained values of amplitude and latency of N1 and P1 waves, and a method to assess normalized root-mean-square error (FNRMSE) between model signals and mfERG recordings was used. Responses of each eye were analysed at a global level, and by rings, quadrants and hemispheres. AUC (area under the ROC curve) is used as discriminant factor. Results The standard method of analysis obtains further discrimination between controls and MS in ring R3 (AUC = 0.82), analysing N1 waves amplitudes. In all of the retina analysis regions, FNRMSE value shows a greater discriminating power than the standard method. The highest AUC value (AUC = 0.91) was in the superior temporal quadrant. Conclusion By analysing mfERG recordings and contrasting them with those of healthy controls it is possible to detect early-stage MS in patients without a previous history of ON.2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://zaguan.unizar.es/record/98221reponame:Zaguán. Repositorio Digital de la Universidad de Zaragozainstname:Universidad de ZaragozaInglésinfo:eu-repo/grantAgreement/ES/ISCIII/PI17-01726info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-020info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-029info:eu-repo/grantAgreement/ES/MINECO-AEI-FEDER/DPI2017-88438-Rinfo:eu-repo/semantics/openAccessoai:zaguan.unizar.es:982212026-05-29T13:59:51Z
dc.title.none.fl_str_mv Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
title Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
spellingShingle Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
Boquete, L.
title_short Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
title_full Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
title_fullStr Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
title_full_unstemmed Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
title_sort Diagnostic ability of multifocal electroretinogram in early multiple sclerosis using a new signal analysis method
dc.creator.none.fl_str_mv Boquete, L.
López-Guillén, E.
Vilades, E.
Miguel-Jiménez, J.M.
Pablo, L.E.
de Santiago, L.
del Castillo, M.O.
Alonso-Rodríguez, M.C.
Morla, E.M.S.
López-Dorado, A.
Garcia-Martin, E.
author Boquete, L.
author_facet Boquete, L.
López-Guillén, E.
Vilades, E.
Miguel-Jiménez, J.M.
Pablo, L.E.
de Santiago, L.
del Castillo, M.O.
Alonso-Rodríguez, M.C.
Morla, E.M.S.
López-Dorado, A.
Garcia-Martin, E.
author_role author
author2 López-Guillén, E.
Vilades, E.
Miguel-Jiménez, J.M.
Pablo, L.E.
de Santiago, L.
del Castillo, M.O.
Alonso-Rodríguez, M.C.
Morla, E.M.S.
López-Dorado, A.
Garcia-Martin, E.
author2_role author
author
author
author
author
author
author
author
author
author
description Purpose To determine if a novel analysis method will increase the diagnostic value of the multifocal electroretinogram (mfERG) in diagnosing early-stage multiple sclerosis (MS). Methods We studied the mfERG signals of OD (Oculus Dexter) eyes of fifteen patients diagnosed with early-stage MS (in all cases < 12 months) and without a history of optic neuritis (ON) (F: M = 11:4), and those of six controls (F:M = 3:3). We obtained values of amplitude and latency of N1 and P1 waves, and a method to assess normalized root-mean-square error (FNRMSE) between model signals and mfERG recordings was used. Responses of each eye were analysed at a global level, and by rings, quadrants and hemispheres. AUC (area under the ROC curve) is used as discriminant factor. Results The standard method of analysis obtains further discrimination between controls and MS in ring R3 (AUC = 0.82), analysing N1 waves amplitudes. In all of the retina analysis regions, FNRMSE value shows a greater discriminating power than the standard method. The highest AUC value (AUC = 0.91) was in the superior temporal quadrant. Conclusion By analysing mfERG recordings and contrasting them with those of healthy controls it is possible to detect early-stage MS in patients without a previous history of ON.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://zaguan.unizar.es/record/98221
url http://zaguan.unizar.es/record/98221
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/ES/ISCIII/PI17-01726
info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-020
info:eu-repo/grantAgreement/ES/ISCIII/RETICS-RD16-0008-029
info:eu-repo/grantAgreement/ES/MINECO-AEI-FEDER/DPI2017-88438-R
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv
publisher.none.fl_str_mv
dc.source.none.fl_str_mv reponame:Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname:Universidad de Zaragoza
instname_str Universidad de Zaragoza
reponame_str Zaguán. Repositorio Digital de la Universidad de Zaragoza
collection Zaguán. Repositorio Digital de la Universidad de Zaragoza
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