Neurology India最新文献_第5页

Morphometric Study of the Intracranial Fluid Spaces in Schizophrenia. 精神分裂症患者颅内液间隙形态计量学研究

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.ni_552_21

Mete Ozdikici

{"title":"Morphometric Study of the Intracranial Fluid Spaces in Schizophrenia.","authors":"Mete Ozdikici","doi":"10.4103/neurol-india.ni_552_21","DOIUrl":"https://doi.org/10.4103/neurol-india.ni_552_21","url":null,"abstract":"Background: The intracranial fluid spaces (IFS), also known as \"the extra-axial spaces,\" consist of the superficial cerebral sulci, the Sylvian fissures, the basal cisterns, the third ventricle, the fourth ventricle, and the two lateral ventricles. In diseases such as schizophrenia, Alzheimer's, Parkinson's, and especially hydrocephalus, IFS' enlargements are observed.Objective: Our study aimed to determine the mean values of IFS measurements in patients with schizophrenia and compare them with healthy controls.Material and methods: This work has been carried out on 188 cases, out of which 88 schizophrenia patients (56 men and 32 women) met the diagnostic criteria according to DSM-5 for schizophrenia and 100 healthy controls (50 men and 50 women). The 10 parameters have been used to evaluate IFS on magnetic resonance imaging (MRI) scans.Results: The parameters showing statistically significant differences were higher in favor of the individual with schizophrenia. Except for the bifrontal index and Evan's index, most parameters (the bicaudate index, the fourth ventricle width, the fourth ventricle index, the maximum width of the anterior interhemispheric fissure, the maximum width of the right frontal subarachnoid space, the maximum width of the left frontal subarachnoid space, the maximum width of the right Sylvian fissure, and the maximum width of the left Sylvian fissure) were obtained statistically highly significant differences between the examined and control groups.Conclusions: In schizophrenia, it is more practical to evaluate brain atrophy using some parameters, especially the width of the Sylvian fissure and the bicaudate index.","PeriodicalId":19429,"journal":{"name":"Neurology India","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142110087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Posterior Fossa Craniopharyngioma Arising from the Inferior Medullary Velum. 后窝颅咽管瘤源自髓质下静脉。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.NI_366_20

Dimble Raju, Chandramouli Mukherjee, Sayan Das, Sugat Sanyal, Prasad Krishnan

引用次数: 0

Syncope and Seizure-Clash of the Two Titans in Geriatrics. 晕厥与癫痫发作--老年医学中的两大难题。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.Neurol-India-D-24-00010

Debabrata Chakraborty

引用次数: 0

Laser-Cut Stent-Assisted Coiling of Wide-Necked Giant Cavernous ICA Aneurysm: Inviting a Catastrophe. 激光切割支架辅助夹闭宽颈巨大腔隙性 ICA 动脉瘤：引来一场灾难

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.Neurol-India-D-23-00368

Parth Jani, Sukalyan Purkayastha

引用次数: 0

Neurocysticercosis by Autoinfection. 自身感染引起的神经囊虫病。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.Neurol-India-D-24-00078

Ashok Narendrakumar, Amol Raheja, Ayush Agarwal, Ajay Garg, Kanwaljeet Garg, Vivek Tandon

引用次数: 0

Spinal Arachnoid Web Presenting as Noncompressive Polyradiculoneuropathy. 表现为非压迫性多脊髓神经病的脊髓蛛网膜。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.Neurol-India-D-24-00147

Rahil Arora, Manish Bahrtia, Vinny W Pulikottil, Arindam Mukherjee, Bharat Hosur

引用次数: 0

Which Acute Stroke Patients can Walk while Returning Home? Factors Predicting Ambulation. 哪些急性中风患者可以在回家后步行？行走能力的预测因素。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.ni_188_22

Kirac Unal Zeynep, Cankurtaran Damla, Umay Ebru

{"title":"Which Acute Stroke Patients can Walk while Returning Home? Factors Predicting Ambulation.","authors":"Kirac Unal Zeynep, Cankurtaran Damla, Umay Ebru","doi":"10.4103/neurol-india.ni_188_22","DOIUrl":"https://doi.org/10.4103/neurol-india.ni_188_22","url":null,"abstract":"Purpose: Regaining gait is the primary goal in stroke rehabilitation. In this study, we aimed to investigate the effect of premorbid features of acute stroke patients on the ambulatory level.Methods: The study included 174 patients who applied to our rehabilitation clinic within the first month after the onset of stroke. Demographic characteristics of patients, pre-stroke symptoms, and stroke characteristics were questioned from patient files and historical data. The ambulation levels of patients before and after rehabilitation were evaluated with the functional ambulation category. The relationship between demographic characteristics, pre-stroke symptoms, stroke characteristics, and ambulation levels of patients before and after rehabilitation was examined.Results: The presence of coronary heart diseases, atrial fibrillation, and nausea/vomiting before stroke were independent negative risk factors on both pre- and post-rehabilitation ambulation levels (P < 0.05). Additionally, advanced age, oxygen, and mechanical ventilation requirement were other negative independent risk factors on post-rehabilitation ambulation levels (P < 0.05).Conclusions: Knowing some of the pre-stroke characteristics of patients while applying rehabilitation programs may be useful in estimating the ambulatory levels on returning home.","PeriodicalId":19429,"journal":{"name":"Neurology India","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142110113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D-Printed Splints Improve Hand Function in Spastic Dystonia: A Case Series. 3D 打印夹板改善痉挛性肌张力障碍患者的手部功能：病例系列。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.ni_1173_22

Ravi Sankaran, Neehara J Kesya

引用次数: 0

A Radiomics Model for the Differentiation of Intracranial Solitary Fibrous Tumor/Hemangiopericytoma and Meningioma Based on Multiparametric Magnetic Resonance Imaging. 基于多参数磁共振成像的颅内孤立性纤维瘤/脑膜血管瘤和脑膜瘤鉴别放射组学模型

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.NI_213_20

Hua Xiong, Ping Yin, Weiqiang Luo, Yihui Li, Sicong Wang

{"title":"A Radiomics Model for the Differentiation of Intracranial Solitary Fibrous Tumor/Hemangiopericytoma and Meningioma Based on Multiparametric Magnetic Resonance Imaging.","authors":"Hua Xiong, Ping Yin, Weiqiang Luo, Yihui Li, Sicong Wang","doi":"10.4103/neurol-india.NI_213_20","DOIUrl":"https://doi.org/10.4103/neurol-india.NI_213_20","url":null,"abstract":"Background: Although the imaging findings of intracranial solitary fibrous tumor (SFT)/hemangiopericytoma (HPC) and meningioma are similar, their treatment and prognosis are quite different. Accurate preoperative identification of these two types of tumors is crucial for individualized treatment.Objective: The aim of this study was to develop a radiomics model for the differentiation of intracranial SFT/HPC and meningioma based on multiparametric magnetic resonance imaging (mpMRI).Material and methods: A total of 99 patients from July 2012 to July 2018 with histologically and immunohistochemically confirmed SFT/HPC (n = 40) or meningiomas (n = 59) were retrospectively analyzed. A total of 1118 features were extracted based on its image shape, intensity and texture features. The logistic regression (LR) and multi-layer artificial neural network (ANN) classifiers were used to classify SFT/HPC and meningioma. The predictive performance was calculated using receiver operating characteristic curves (ROC).Results: We found significant difference in terms of sex between the SFT/HPC and meningioma group (χ2= 4.829, P < 0.05), but no significant difference was found in age (P > 0.05). The most significant radiomics features included five shape and four first-order level features. For the LR classifier, the prediction accuracy of SFT/HPC was 71.0% and meningioma was 78.7%. For the ANN classifier, the prediction accuracy of SFT/HPC was 83.9% and meningioma was 80.9%. Both of the two classifiers achieved a high accuracy rate, but ANN was better.Conclusions: Radiomics features, especially when combined with an ANN classifier, can provide satisfactory performance in distinguishing SFT/HPC and meningioma.","PeriodicalId":19429,"journal":{"name":"Neurology India","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142110049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified Gallie's (Sonntag) Posterior Wiring Technique Supplemented With Goel-Harms C1-C2 Fixation For Pediatric Craniovertebral Junction Anomaly. 小儿颅椎骨连接异常的改良加利（桑塔格）后方接线技术辅以戈尔-哈姆斯 C1-C2 固定术。

IF 0.9 3区医学

Neurology India Pub Date : 2024-07-01 Epub Date: 2024-08-31 DOI: 10.4103/neurol-india.Neurol-India-D-24-00182

Ninad Sawant, Akshay Ganeshkumar, Rohit Sesodia, Deepak K Gupta

引用次数: 0