medial temporal lobe epilepsy
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2021 ◽  
Vol 69 (2) ◽  
pp. 414
Author(s):  
AravindK Rajasekaran ◽  
Nagarajarao Shivashankar ◽  
Sanjib Sinha ◽  
Jitender Saini ◽  
DoddaballapuraK Subbakrishna ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yae Won Park ◽  
Yun Seo Choi ◽  
Song E. Kim ◽  
Dongmin Choi ◽  
Kyunghwa Han ◽  
...  

Abstract To investigative whether radiomics features in bilateral hippocampi from MRI can identify temporal lobe epilepsy (TLE). A total of 131 subjects with MRI (66 TLE patients [35 right and 31 left TLE] and 65 healthy controls [HC]) were allocated to training (n = 90) and test (n = 41) sets. Radiomics features (n = 186) from the bilateral hippocampi were extracted from T1-weighted images. After feature selection, machine learning models were trained. The performance of the classifier was validated in the test set to differentiate TLE from HC and ipsilateral TLE from HC. Identical processes were performed to differentiate right TLE from HC (training set, n = 69; test set; n = 31) and left TLE from HC (training set, n = 66; test set, n = 30). The best-performing model for identifying TLE showed an AUC, accuracy, sensitivity, and specificity of 0.848, 84.8%, 76.2%, and 75.0% in the test set, respectively. The best-performing radiomics models for identifying right TLE and left TLE subgroups showed AUCs of 0.845 and 0.840 in the test set, respectively. In addition, multiple radiomics features significantly correlated with neuropsychological test scores (false discovery rate-corrected p-values < 0.05). The radiomics model from hippocampus can be a potential biomarker for identifying TLE.


2020 ◽  
Vol 81 ◽  
pp. 378-389
Author(s):  
Oguz Baran ◽  
Naci Balak ◽  
Serhat Baydin ◽  
Ilhan Aydin ◽  
Ahmet Kayhan ◽  
...  

2020 ◽  
Vol 52 (5) ◽  
pp. 3411-3418
Author(s):  
Sofie Krakau ◽  
Leila Chaieb ◽  
Christoph Helmstaedter ◽  
Randi Wrede ◽  
Juergen Fell

2020 ◽  
Vol 48 (4) ◽  
pp. E4 ◽  
Author(s):  
Carlo Serra ◽  
Kevin Akeret ◽  
Victor E. Staartjes ◽  
Georgia Ramantani ◽  
Thomas Grunwald ◽  
...  

OBJECTIVEThe goal of this study was to assess the reproducibility and safety of the recently introduced paramedian supracerebellar–transtentorial (PST) approach for selective amygdalohippocampectomy (SA).METHODSThe authors performed a retrospective analysis of prospectively collected data originating from their surgical register of patients undergoing SA via a PST approach for lesional medial temporal lobe epilepsy. All patients received thorough pre- and postoperative clinical (neurological, neuropsychological, psychiatric) and instrumental (ictal and long-term EEG, invasive EEG if needed, MRI) workup. Surgery-induced complications were assessed at discharge and at every follow-up thereafter and were classified according to Clavien-Dindo grade (CDG). Epilepsy outcome was defined according to Engel classification. Data were reported according to common descriptive statistical methods.RESULTSBetween May 2015 and May 2018, 17 patients underwent SA via a PST approach at the authors’ institution (hippocampal sclerosis in 13 cases, WHO grade II glioma in 2 cases, and reactive gliosis in 2 cases). The median postoperative follow-up was 7 months (mean 9 months, range 3–19 months). There was no surgery-related mortality and no complication (CDG ≥ 2) in the whole series. Transitory CDG 1 surgical complications occurred in 4 patients and had resolved in all of them by the first postoperative follow-up. One patient showed a deterioration of neuropsychological performance with new slight mnestic deficits. No patient experienced a clinically relevant postoperative visual field defect. No morbidity due to semisitting position was recorded. At last follow-up 13/17 (76.4%) patients were in Engel class I (9/17 [52.9%] were in class IA).CONCLUSIONSThe PST approach is a reproducible and safe surgical route for SA. The achievable complication rate is in line with the best results in the literature. Visual function outcome particularly benefits from this highly selective, neocortex-sparing approach. A larger patient sample and longer follow-up will show in the future if the seizure control rate and neuropsychological outcome also compare better than those achieved with current common surgical techniques.


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