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Identification of common predictors of surgical outcomes for epilepsy surgery

Authors Zhang J, Liu W, Chen H, Xia H, Zhou Z, Mei S, Liu Q, Li Y

Received 30 August 2013

Accepted for publication 25 September 2013

Published 6 November 2013 Volume 2013:9 Pages 1673—1682

DOI https://doi.org/10.2147/NDT.S53802

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Jing Zhang,1 Weifang Liu,1 Hui Chen,1 Hong Xia,1 Zhen Zhou,1 Shanshan Mei,2 Qingzhu Liu,2 Yunlin Li2

1School of Biomedical Engineering, Capital Medical University, 2Department of Functional Neurology and Neurosurgery, Beijing Haidian Hospital, Beijing, People's Republic of China

Abstract: Although epilepsy surgery is an effective treatment for patients with drug-resistant epilepsy, surgical outcomes vary across patient groups and studies. Identification of reliable prognostic factors for surgical outcome is important for outcome research. In this study, recent systematic reviews and meta-analyses on prediction of seizure outcome have been analyzed, and common predictors of seizure outcome or unrelated factors for temporal lobe epilepsy (TLE), lesional extratemporal lobe epilepsy (ETLE), and tuberous sclerosis complex have been identified. Clinical factors such as lesional epilepsy, abnormal magnetic resonance imaging, partial seizures, and complete resection were found to be common positive predictors, and factors such as nonlesional epilepsy, poorly defined and localized epileptic focus, generalized seizures, and incomplete resection are common negative predictors, while factors such as age at surgery and side of surgery are unrelated to seizure outcome for TLE and lesional ETLE. In addition, diagnostic neuroimaging and resection are among the most important predictors of seizure outcome. However, common predictors of seizure outcome could not be identified in nonlesional ETLE because no predictors were found to be significant in adult patients (by meta-analysis), and outcome prediction is difficult in this case. Meta-analysis of other outcomes, such as neuropsychologic outcomes, is rare due to lack of evaluation standards. Further studies on identification of reliable predictors of surgical outcomes are needed.

Keywords: neuroimaging, epilepsy surgery, outcome prediction, common predictors

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