Blinowska A, Verroust J, Malapert D
INSERM, SIM, Hôp. Broussais, Paris.
Electromyogr Clin Neurophysiol. 1992 Jan-Feb;32(1-2):17-25.
This study deals with the multiple sclerosis diagnosis by visual, somatosensory and brain stem auditory evoked potentials. By a statistical investigation of experimental data, four items have been selected as being both discriminative and independent: P100, N20, P40 latencies and the auditory central conduction time. The Bayesian approach was then attempted, i.e. the marginal density distributions of every item, and the joint density distribution functions have been established within both normal and multiple sclerosis population. No loss function consideration have been taken into account, as the final diagnosis is established by a neurologist who disposes of additional clinical and paraclinical information. The discrimination, as given by posterior Bayesian probability, is very satisfactory since the ratio of recognized multiple sclerosis among MS patients is over 90%, while no normal subject is diagnosed as MS.
本研究通过视觉、体感和脑干听觉诱发电位来进行多发性硬化症的诊断。通过对实验数据的统计调查，选取了四个具有判别性且相互独立的指标：P100、N20、P40潜伏期以及听觉中枢传导时间。随后尝试采用贝叶斯方法，即确定了正常人群和多发性硬化症人群中每个指标的边际密度分布以及联合密度分布函数。由于最终诊断由掌握额外临床和辅助临床信息的神经科医生做出，因此未考虑损失函数。后验贝叶斯概率给出的判别结果非常令人满意，因为多发性硬化症患者中被确诊为多发性硬化症的比例超过90%，而没有正常受试者被诊断为多发性硬化症。
