Purpose: To conduct a systematic assessment of scientific publications devoted to pre-surgical examination of patients with intactable epilepsy.
Material And Methods: We found, using PubMed and available Internet search tools, and analyzed 1.414 articles on pre-surgical diagnostics in patients with intractable epilepsy.
Results: Epilepsy is a chronic disorder caused by brain injury, which manifests as repeated epileptic seizures and is accompanied by a variety of personality changes. Mortality risks in the population of patients with uncontrolled intractable epilepsy significantly exceed those in the general population. Early onset of comprehensive treatment prevents pathological personality changes and reduces the risks of mortality. However, complete seizure control is not achieved in 30% of patients, and they develop pharmacoresistance later, which is the reason for considering these patients as candidates for surgical treatment. In the literature, many approaches to pre-surgical examination are described as each clinic has its own concept of pre-surgical diagnostics and its own approaches to surgical management. Based on the conducted analysis, we tried to summarize the received information and describe current ideas about pre-surgical examination of patients with intactable epilepsy.
Conclusion: On the basis of analyzed literature, we performed a systematic assessment and the evaluated effectiveness of various approaches in the pre-surgical diagnostics of patients with intactable epilepsy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.17116/neiro202084011109 | DOI Listing |
Eur J Pain
January 2025
CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Background: The prevalence of postoperative pain is notably high among the elderly population, which poses significant challenges for their postoperative recovery. In this study, we aimed to identify preoperative predictors for acute and chronic postoperative pain in patients undergoing lumbar spinal surgery through a longitudinal investigation.
Methods: We recruited 75 patients (mean age 68.
Zh Nevrol Psikhiatr Im S S Korsakova
November 2024
Federal Neurosurgical Center, Ministry of Health of Russia, Novosibirsk, Russia.
Objective: Determination of the characteristics of the personality profile using the Big Five model in patients with drug-resistant epilepsy, taking into account the duration of the disease.
Material And Methods: An open clinical and psychological study of patients diagnosed with epilepsy (=47; 33.8±8.
Eur Arch Otorhinolaryngol
November 2024
Department of Otolaryngology-Head and Neck Surgery, McGill University, Royal Victoria Hospital, Montreal, QC, Canada.
Purpose: To assess the inter-rater agreement of the Cribriform plate, Lamina papyracea, Onodi cell, Sphenoid sinus pneumatization, and Ethmoidal artery (CLOSE) checklist results among rhinology & skull-base surgeons and a head and neck-neuroradiology specialist for pre-operative computed tomography (CT) sinus assessment.
Methods: This retrospective cross-sectional study reviewed 50 patients who underwent endoscopic sinus surgery (ESS) in the period between January 2013 and March 2014 at the Royal Victoria Hospital in Montreal, Canada. According to the CLOSE checklist, the CT scans were evaluated independently by one surgeon and one radiologist using the InteleRadiology Picture Archiving and Communication System (IntelePACS).
J Imaging Inform Med
November 2024
Department of Prosthodontics, Faculty of Dentistry, Chiang Mai University, Suthep Road, Suthep Sub-District, Mueang, Chiang Mai, 50200, Thailand.
Bone quality assessment is crucial for pre-surgical implant planning, influencing both implant design and drilling protocol selection. The Lekholm and Zarb (L&Z) classification, which categorizes bone quality into four types based on cortical bone width and trabecular bone density using cone-beam computed tomography (CBCT) data, lacks quantitative guidelines, leading to subjective interpretations. This study aimed to compare the performance of deep learning (DL)-based approaches against human examiners in assessing bone quality, according to the L&Z classification, using CBCT images.
View Article and Find Full Text PDFNeurosurg Rev
October 2024
Fatima Jinnah Medical University, Lahore, Punjab, 54000, Pakistan.
Deep brain stimulation (DBS) has revolutionized the treatment of movement disorders, including Parkinson's disease (PD), essential tremors, dystonia, and treatment-refractory obsessive-compulsive disorder (OCD). This systematic review and meta-analysis aimed to assess the impact of DBS on Body Mass Index (BMI). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, data from 49 studies were reviewed, with 46 studies specifically focusing on BMI and DBS.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!