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.
PLoS One. 2019 Nov 8;14(11):e0224500. doi: 10.1371/journal.pone.0224500. eCollection 2019.
To determine if a novel analysis method will increase the diagnostic value of the multifocal electroretinogram (mfERG) in diagnosing early-stage multiple sclerosis (MS).
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.
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.
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.
确定一种新的分析方法是否会提高多焦视网膜电图（mfERG）在诊断早期多发性硬化症（MS）中的诊断价值。
我们研究了 15 名被诊断为早期 MS（所有病例均<12 个月）且无视神经炎（ON）病史的患者的右眼 mfERG 信号（F：M=11：4），以及 6 名对照者的右眼 mfERG 信号（F：M=3：3）。我们获得了 N1 和 P1 波的振幅和潜伏期值，并使用了一种评估模型信号与 mfERG 记录之间归一化均方根误差（FNRMSE）的方法。对每只眼睛进行了全局水平和环、象限和半球的分析。AUC（ROC 曲线下面积）用作判别因子。
标准分析方法在分析 N1 波振幅的 R3 环（AUC=0.82）中进一步区分了对照组和 MS 患者。在所有视网膜分析区域中，FNRMSE 值的判别能力均强于标准方法。最高 AUC 值（AUC=0.91）位于颞上象限。
通过分析 mfERG 记录并将其与健康对照者的记录进行对比，可以检测出无先前 ON 病史的早期 MS 患者。
