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

Autor: Boquete L; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.; RETICS: Thematic Networks for Co-operative Research in Health for Ocular Diseases, Madrid, Spain., López-Guillén E; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Vilades E; RETICS: Thematic Networks for Co-operative Research in Health for Ocular Diseases, Madrid, Spain.; Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain.; Aragon Institute for Health Research (IIS Aragon), Innovative and Research Group Miguel Servet Ophthalmology (GIMSO), University of Zaragoza, Zaragoza, Spain., Miguel-Jiménez JM; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Pablo LE; Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain.; Aragon Institute for Health Research (IIS Aragon), Innovative and Research Group Miguel Servet Ophthalmology (GIMSO), University of Zaragoza, Zaragoza, Spain., De Santiago L; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Ortiz Del Castillo M; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Alonso-Rodríguez MC; Physics and Mathematics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Morla EMS; Institute for Health Research 12 de Octubre Hospital (i+12), Madrid, Spain., López-Dorado A; Biomedical Engineering Group, Electronics Department, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain., Garcia-Martin E; RETICS: Thematic Networks for Co-operative Research in Health for Ocular Diseases, Madrid, Spain.; Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain.; Aragon Institute for Health Research (IIS Aragon), Innovative and Research Group Miguel Servet Ophthalmology (GIMSO), University of Zaragoza, Zaragoza, Spain.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2019 Nov 08; Vol. 14 (11), pp. e0224500. Date of Electronic Publication: 2019 Nov 08 (Print Publication: 2019).
DOI: 10.1371/journal.pone.0224500
Abstrakt: 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.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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