Yanling Zhang, Jian Li, Linhua Wu, Mingxing Sun, Shan Liu, Bo Tian, Lei Luo, Bing Chen
{"title":"利用自动磁共振成像分割技术探索颞叶癫痫的皮质和海马体变化","authors":"Yanling Zhang, Jian Li, Linhua Wu, Mingxing Sun, Shan Liu, Bo Tian, Lei Luo, Bing Chen","doi":"10.2147/IJGM.S484443","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To investigate the applicability of MR-based automated segmentation techniques in evaluating cortical and hippocampal changes in adults with temporal lobe epilepsy (TLE), specifically emphasizing the affected hemisphere.</p><p><strong>Methods: </strong>A retrospective analysis involved 48 cases diagnosed with TLE based on clinical and EEG criteria. The cohort comprised 30 patients with hippocampal sclerosis (HS) and 18 with nonlesional temporal lobe epilepsy (TLE-NL) on MR. 30 healthy volunteers constituted the control group. FreeSurfer software facilitated the segmentation of cortical regions and hippocampal subfields, generating numerical values for cortical thickness and hippocampal subfield volumes on the left hemisphere. Independent sample Wilcoxon rank-sum tests enabled pairwise comparisons of cortical thickness and hippocampal subfield volumes between the control, TLE-NL, and HS groups.</p><p><strong>Results: </strong>Significant differences emerged in hippocampal total volume and volumes of the head, body, and tail regions between the control and HS groups and the TLE-NL and HS groups. Cortical thickness of 6 regions exhibited statistical differences between the control and TLE-NL groups, while 15 regions showed distinctions between the control and HS groups. 2 regions displayed variations in cortical thickness between the TLE-NL and HS groups.</p><p><strong>Conclusion: </strong>MRI-based automated segmentation techniques provide valuable insights into cortical and hippocampal structural variations in distinct TLE subtypes. This methodology effectively delineates changes in cortical regions and hippocampal subfields, augmenting clinical comprehension of TLE progression.</p>","PeriodicalId":14131,"journal":{"name":"International Journal of General Medicine","volume":"17 ","pages":"5959-5971"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645949/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring Cortical and Hippocampal Changes in Temporal Lobe Epilepsy Using Automated MRI Segmentation Techniques.\",\"authors\":\"Yanling Zhang, Jian Li, Linhua Wu, Mingxing Sun, Shan Liu, Bo Tian, Lei Luo, Bing Chen\",\"doi\":\"10.2147/IJGM.S484443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To investigate the applicability of MR-based automated segmentation techniques in evaluating cortical and hippocampal changes in adults with temporal lobe epilepsy (TLE), specifically emphasizing the affected hemisphere.</p><p><strong>Methods: </strong>A retrospective analysis involved 48 cases diagnosed with TLE based on clinical and EEG criteria. The cohort comprised 30 patients with hippocampal sclerosis (HS) and 18 with nonlesional temporal lobe epilepsy (TLE-NL) on MR. 30 healthy volunteers constituted the control group. FreeSurfer software facilitated the segmentation of cortical regions and hippocampal subfields, generating numerical values for cortical thickness and hippocampal subfield volumes on the left hemisphere. Independent sample Wilcoxon rank-sum tests enabled pairwise comparisons of cortical thickness and hippocampal subfield volumes between the control, TLE-NL, and HS groups.</p><p><strong>Results: </strong>Significant differences emerged in hippocampal total volume and volumes of the head, body, and tail regions between the control and HS groups and the TLE-NL and HS groups. Cortical thickness of 6 regions exhibited statistical differences between the control and TLE-NL groups, while 15 regions showed distinctions between the control and HS groups. 2 regions displayed variations in cortical thickness between the TLE-NL and HS groups.</p><p><strong>Conclusion: </strong>MRI-based automated segmentation techniques provide valuable insights into cortical and hippocampal structural variations in distinct TLE subtypes. This methodology effectively delineates changes in cortical regions and hippocampal subfields, augmenting clinical comprehension of TLE progression.</p>\",\"PeriodicalId\":14131,\"journal\":{\"name\":\"International Journal of General Medicine\",\"volume\":\"17 \",\"pages\":\"5959-5971\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645949/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of General Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/IJGM.S484443\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of General Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IJGM.S484443","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Exploring Cortical and Hippocampal Changes in Temporal Lobe Epilepsy Using Automated MRI Segmentation Techniques.
Background: To investigate the applicability of MR-based automated segmentation techniques in evaluating cortical and hippocampal changes in adults with temporal lobe epilepsy (TLE), specifically emphasizing the affected hemisphere.
Methods: A retrospective analysis involved 48 cases diagnosed with TLE based on clinical and EEG criteria. The cohort comprised 30 patients with hippocampal sclerosis (HS) and 18 with nonlesional temporal lobe epilepsy (TLE-NL) on MR. 30 healthy volunteers constituted the control group. FreeSurfer software facilitated the segmentation of cortical regions and hippocampal subfields, generating numerical values for cortical thickness and hippocampal subfield volumes on the left hemisphere. Independent sample Wilcoxon rank-sum tests enabled pairwise comparisons of cortical thickness and hippocampal subfield volumes between the control, TLE-NL, and HS groups.
Results: Significant differences emerged in hippocampal total volume and volumes of the head, body, and tail regions between the control and HS groups and the TLE-NL and HS groups. Cortical thickness of 6 regions exhibited statistical differences between the control and TLE-NL groups, while 15 regions showed distinctions between the control and HS groups. 2 regions displayed variations in cortical thickness between the TLE-NL and HS groups.
Conclusion: MRI-based automated segmentation techniques provide valuable insights into cortical and hippocampal structural variations in distinct TLE subtypes. This methodology effectively delineates changes in cortical regions and hippocampal subfields, augmenting clinical comprehension of TLE progression.
期刊介绍:
The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas.
A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal.
As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.