Why the study?
Can a multidisciplinary prediction model accurately predict seizure relief from cortical resection surgery in patients with epilepsy?
Can a multidisciplinary prediction model accurately predict seizure relief from cortical resection surgery in patients with epilepsy?
A multidisciplinary model using 8 clinical, EEG, and psychological variables can predict seizure relief after cortical resection surgery for epilepsy with 80% accuracy.
Answers are grounded in this paper and cite their sources.
May inform preoperative counseling in epilepsy surgery; leaves open need for prospective validation before clinical adoption.
Preoperative variables from a full range of medical specialties were used to predict degree of seizure relief from cortical resection surgery as treatment for epilepsy in 100 patients. General, seizure history, electroencephalographic (EEG), radiological, surgical, and psychological/neuropsychological data were considered. The patients were divided into one large predictive group (n = 75) and a smaller independent cross-validation sample (n = 25). Eight predictive variables emerged: single EEG focus; anterior-midtemporal lobe discharges; discharges only from the side of surgery; rate of occurrence of discharges in surgical area; Wechsler Adult Intelligence Scale Digit Symbol subtest; Marching Test, preferred hand, time; Minnesota Multiphasic Personality Inventory (MMPI) Hysteria scale score; and MMPI Paranoia scale score. By use of multivariate procedures, increased predictability of surgical outcome was obtained not only with the predictive group but with the independent cross-validation sample. The results demonstrate that predictions of seizure relief from epilepsy surgery can be made with 80% accuracy using multiple, rather than single, predictors.
No takes yet. Share an insight, caveat, or question.
Dodrill et al. (1986) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: