{"title":"肝性脑病患者脑部核磁共振成像上对称性区域脑水肿的模式聚类。","authors":"Chun Geun Lim, Hui Joong Lee","doi":"10.3348/jksr.2023.0012","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Metabolic abnormalities in hepatic encephalopathy (HE) cause brain edema or demyelinating disease, resulting in symmetric regional cerebral edema (SRCE) on MRI. This study aimed to investigate the usefulness of the clustering analysis of SRCE in predicting the development of brain failure.</p><p><strong>Materials and methods: </strong>MR findings and clinical data of 98 consecutive patients with HE were retrospectively analyzed. The correlation between the 12 regions of SRCE was calculated using the phi (Φ) coefficient, and the pattern was classified using hierarchical clustering using the φ<sup>2</sup> distance measure and Ward's method. The classified patterns of SRCE were correlated with clinical parameters such as the model for end-stage liver disease (MELD) score and HE grade.</p><p><strong>Results: </strong>Significant associations were found between 22 pairs of regions of interest, including the red nucleus and corpus callosum (Φ = 0.81, <i>p</i> < 0.001), crus cerebri and red nucleus (Φ = 0.72, <i>p</i> < 0.001), and red nucleus and dentate nucleus (Φ = 0.66, <i>p</i> < 0.001). After hierarchical clustering, 24 cases were classified into Group I, 35 into Group II, and 39 into Group III. Group III had a higher MELD score (<i>p</i> = 0.04) and HE grade (<i>p</i> = 0.002) than Group I.</p><p><strong>Conclusion: </strong>Our study demonstrates that the SRCE patterns can be useful in predicting hepatic preservation and the occurrence of cerebral failure in HE.</p>","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"85 2","pages":"381-393"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11009126/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pattern Clustering of Symmetric Regional Cerebral Edema on Brain MRI in Patients with Hepatic Encephalopathy.\",\"authors\":\"Chun Geun Lim, Hui Joong Lee\",\"doi\":\"10.3348/jksr.2023.0012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Metabolic abnormalities in hepatic encephalopathy (HE) cause brain edema or demyelinating disease, resulting in symmetric regional cerebral edema (SRCE) on MRI. This study aimed to investigate the usefulness of the clustering analysis of SRCE in predicting the development of brain failure.</p><p><strong>Materials and methods: </strong>MR findings and clinical data of 98 consecutive patients with HE were retrospectively analyzed. The correlation between the 12 regions of SRCE was calculated using the phi (Φ) coefficient, and the pattern was classified using hierarchical clustering using the φ<sup>2</sup> distance measure and Ward's method. The classified patterns of SRCE were correlated with clinical parameters such as the model for end-stage liver disease (MELD) score and HE grade.</p><p><strong>Results: </strong>Significant associations were found between 22 pairs of regions of interest, including the red nucleus and corpus callosum (Φ = 0.81, <i>p</i> < 0.001), crus cerebri and red nucleus (Φ = 0.72, <i>p</i> < 0.001), and red nucleus and dentate nucleus (Φ = 0.66, <i>p</i> < 0.001). After hierarchical clustering, 24 cases were classified into Group I, 35 into Group II, and 39 into Group III. Group III had a higher MELD score (<i>p</i> = 0.04) and HE grade (<i>p</i> = 0.002) than Group I.</p><p><strong>Conclusion: </strong>Our study demonstrates that the SRCE patterns can be useful in predicting hepatic preservation and the occurrence of cerebral failure in HE.</p>\",\"PeriodicalId\":101329,\"journal\":{\"name\":\"Journal of the Korean Society of Radiology\",\"volume\":\"85 2\",\"pages\":\"381-393\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11009126/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korean Society of Radiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3348/jksr.2023.0012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/26 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Society of Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3348/jksr.2023.0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/26 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:肝性脑病(HE)中的代谢异常会引起脑水肿或脱髓鞘疾病,导致核磁共振成像上的对称性区域脑水肿(SRCE)。本研究旨在探讨 SRCE 的聚类分析在预测脑衰竭发展方面的实用性:回顾性分析了连续 98 例 HE 患者的 MR 结果和临床数据。用phi(Φ)系数计算12个SRCE区域之间的相关性,并用φ2距离测量法和Ward法对模式进行分层聚类。SRCE的分类模式与终末期肝病模型(MELD)评分和HE分级等临床参数相关:结果:22对相关区域之间存在显著关联,包括红核和胼胝体(Φ = 0.81,p < 0.001)、小脑皱襞和红核(Φ = 0.72,p < 0.001)以及红核和齿状核(Φ = 0.66,p < 0.001)。经过分层聚类,24 例病例被分为 I 组,35 例被分为 II 组,39 例被分为 III 组。III组的MELD评分(p = 0.04)和HE分级(p = 0.002)均高于I组:我们的研究表明,SRCE模式可用于预测肝保存和 HE 脑衰竭的发生。
Pattern Clustering of Symmetric Regional Cerebral Edema on Brain MRI in Patients with Hepatic Encephalopathy.
Purpose: Metabolic abnormalities in hepatic encephalopathy (HE) cause brain edema or demyelinating disease, resulting in symmetric regional cerebral edema (SRCE) on MRI. This study aimed to investigate the usefulness of the clustering analysis of SRCE in predicting the development of brain failure.
Materials and methods: MR findings and clinical data of 98 consecutive patients with HE were retrospectively analyzed. The correlation between the 12 regions of SRCE was calculated using the phi (Φ) coefficient, and the pattern was classified using hierarchical clustering using the φ2 distance measure and Ward's method. The classified patterns of SRCE were correlated with clinical parameters such as the model for end-stage liver disease (MELD) score and HE grade.
Results: Significant associations were found between 22 pairs of regions of interest, including the red nucleus and corpus callosum (Φ = 0.81, p < 0.001), crus cerebri and red nucleus (Φ = 0.72, p < 0.001), and red nucleus and dentate nucleus (Φ = 0.66, p < 0.001). After hierarchical clustering, 24 cases were classified into Group I, 35 into Group II, and 39 into Group III. Group III had a higher MELD score (p = 0.04) and HE grade (p = 0.002) than Group I.
Conclusion: Our study demonstrates that the SRCE patterns can be useful in predicting hepatic preservation and the occurrence of cerebral failure in HE.