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Surgical Outcome And Analysis Of Affecting Factors Of Intractable Occipital Epilepsy

Posted on:2019-03-24Degree:MasterType:Thesis
Country:ChinaCandidate:D S WuFull Text:PDF
GTID:2334330548956183Subject:Surgery
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Objective: To analyze the factors affecting the clinical outcomes of surgical operation in patients with intractable occipital epilepsy.Method: We retrospectively analyzed surgical outcomes of 31 patients with intractable occipital epilepsy in The First Teaching Hospital of Xinjiang Medical University from December 2010 to October 2016.18 males and 13 females was included,aged 5-43 years old,average 16.9±8.1 years old.The duration of the disease was 1 ~ 16 years,with an average of 9.4±6.0 years.Both 31 cases completed EEG and brain MRI examination,16 patients improved PETCT.Combined with the above findings diagnosis and position epileptic lesions clearly.After the preoperative preparation,31 patients underwent epileptic lesions resection with the guidance of EcoG.Patients continue to take antiepileptic drug after surgery and long-term follow-up were performed according to Engel classification.Logistic regression was used to analyze the factors affecting the prognosis of intractable occipital epilepsy.Result: Visual aura was present in 16 patients,including 13 patients with primary visual symptoms and only 3 complicated visual symptoms.Spatial location of epileptic lesions: 14 cases on the lateral surface,10 on the basal surface and 7on the interior surface.Pathology: 12 cases of focal cortical dysplasia,9 cases of brain softening lesion,10 cases of low grade brain tumor.All cases were followed up for 1~4years.17 cases(55%)were Engel class I,5(16%)class II,6(19%)class III and 3 patients(9%)class IV.Conclusion: Surgical treatment of intractable occipital epilepsy is generally good.The presence of visual aura,the pathological nature of epileptic lesions and the spatial location of epileptic lesions were correlated with the surgical prognosis.
Keywords/Search Tags:Intractable occipital epilepsy, Resection, Visual aura, spatial categorization, Prognosis
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