Predicting Drug Treatment Outcomes in Childrens with Tuberous Sclerosis Complex-Related Epilepsy: A Clinical Radiomics Study [FUNCTIONAL]

CONCLUSIONS:
Our results suggested that the radiomic and clinical features model may predict the epilepsy drug treatment outcome. Age of onset, infantile spasms, antiseizure medication numbers, epileptiform discharge in left parieto-occipital area of electroencephalography, and gene mutation type are the key clinical factors to predict the epilepsy drug treatment outcome. The texture and first-order statistic features are the most valuable radiomic features for predicting drug treatment outcomes.

Source: American Journal of Neuroradiology - July 10, 2023 Category: Radiology Authors: Hu, Z., Jiang, D., Zhao, X., Yang, J., Liang, D., Wang, H., Zhao, C., Liao, J. Tags: FUNCTIONAL Source Type: research