• Title/Summary/Keyword: Municipal hospital

Search Result 177, Processing Time 0.019 seconds

Carpal Tunnel Syndrome : Correlation between Magnetic Resonance Imaging and Nerve Conduction Study (수근관증후군 : 자기공명영상과신경전도검사의 상관 관계)

  • Park, Seong-Ho;Nam, Hyunwoo;Choi, Won-Joon;Yang, Hee Jin;Chung, Hye Won;Kim, Sam Soo;Lee, Sang Hyung;Lee, Yong-Seok;Song, Chi Sung;Chung, Young Seob;Lee, Kwang-Woo
    • Annals of Clinical Neurophysiology
    • /
    • v.2 no.2
    • /
    • pp.89-94
    • /
    • 2000
  • Purpose : Carpal tunnel syndrome (CTS) is a disorder of median nerve at wrist. It is usually diagnosed through clinical manifestation and nerve conduction study (NCS). However, sometimes, NCS does not provide a reliable evidence to reach the diagnosis. Thus, authors performed this study to determine whether NCS was correlated with specific parameters measured on magnetic resonance imaging (MRI) which might become a potential complemental diagnostic tool. Methods : We performed MRI in 34 wrists of 18 patients with clinical manifestations of CTS and pathologic nerve conduction values and analyzed them at levels of the distal radioulnar joint, pisiform and hook of hamate, Results : Increase in the cross-sectional area of the median nerve at the pisiform level and flattening, increased signal intensity, and contrast enhancement of the median nerve at levels of the pisiform and hook of hamate were statistically significant. Change in cross sectional areas between the distal radioulnar joint and hamate and the signal intensities at levels of pisiform and hamate were well correlated with the median nerve conduction velocity. Conclusions : Characteristic MRI findings in CTS reported previously were well demonstrated and some of MRI parameters are well correlated with nerve conduction study. MRI, despite cost, may help in evaluating CTS.

  • PDF

Identification of pathways and genes associated with cerebral palsy

  • Zhu, Qingwen;Ni, Yufei;Wang, Jing;Yin, Honggang;Zhang, Qin;Zhang, Lingli;Bian, Wenjun;Liang, Bo;Kong, Lingyin;Xuan, Liming;Lu, Naru
    • Genes and Genomics
    • /
    • v.40 no.12
    • /
    • pp.1339-1349
    • /
    • 2018
  • Cerebral palsy (CP) is a non-progressive neurological disease, of which susceptibility is linked to genetic and environmental risk factors. More and more studies have shown that CP might be caused by multiple genetic factors, similar to other neurodevelopmental disorders. Due to the high genetic heterogeneity of CP, we focused on investigating related molecular pathways. Ten children with CP were collected for whole-exome sequencing by next-generation sequencing (NGS) technology. Customized processes were used to identify potential pathogenic pathways and variants. Three pathways (axon guidance, transmission across chemical synapses, protein-protein interactions at synapses) with twenty-three genes were identified to be highly correlated with CP. This study showed that the three pathways associated with CP might be the molecular mechanism of pathogenesis. These findings could provide useful clues for developing pathway-based pharmacotherapies. Further studies are required to confirm potential roles for these pathways in the pathogenesis of CP.

Prediction Model for unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning

  • Shengli Li;Jianan Zhang;Xiaoqun Hou;Yongyi Wang;Tong Li;Zhiming Xu;Feng Chen;Yong Zhou;Weimin Wang;Mingxing Liu
    • Journal of Korean Neurosurgical Society
    • /
    • v.67 no.1
    • /
    • pp.94-102
    • /
    • 2024
  • Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.

Leaky Gut in IBD: Intestinal Barrier-Gut Microbiota Interaction

  • Yu, Shunying;Sun, Yibin;Shao, Xinyu;Zhou, Yuqing;Yu, Yang;Kuai, Xiaoyi;Zhou, Chunli
    • Journal of Microbiology and Biotechnology
    • /
    • v.32 no.7
    • /
    • pp.825-834
    • /
    • 2022
  • Inflammatory bowel disease (IBD) is a global disease that is in increasing incidence. The gut, which contains the largest amount of lymphoid tissue in the human body, as well as a wide range of nervous system components, is integral in ensuring intestinal homeostasis and function. By interacting with gut microbiota, immune cells, and the enteric nervous system, the intestinal barrier, which is a solid barrier, protects the intestinal tract from the external environment, thereby maintaining homeostasis throughout the body. Destruction of the intestinal barrier is referred to as developing a "leaky gut," which causes a series of changes relating to the occurrence of IBD. Changes in the interactions between the intestinal barrier and gut microbiota are particularly crucial in the development of IBD. Exploring the leaky gut and its interaction with the gut microbiota, immune cells, and the neuroimmune system may help further explain the pathogenesis of IBD and provide potential therapeutic methods for future use.