Marjan Firouznia, David Molnar, Carl Edin, Ola Hjelmgren, Carl-Johan Östgren, Peter Lundberg, Markus Henningsson, Göran Bergström, Carl-Johan Carlhäll
{"title":"MRI与CT对心外膜脂肪组织体积和质量评价的对比研究。","authors":"Marjan Firouznia, David Molnar, Carl Edin, Ola Hjelmgren, Carl-Johan Östgren, Peter Lundberg, Markus Henningsson, Göran Bergström, Carl-Johan Carlhäll","doi":"10.1148/ryct.240531","DOIUrl":null,"url":null,"abstract":"<p><p>Purpose To systematically compare MRI- and CT-based measurements of both the volume and quality of epicardial adipose tissue (EAT). Materials and Methods This prospective study included participants from a subset of the Swedish CArdioPulmonary bioImage Study (SCAPIS) who underwent MRI and CT between November 2017 and July 2018. Dixon fat-water separation MR images were manually segmented, and a threshold-based approach based on a fat signal fraction (FSF) map was used to obtain the EAT volume. Within this EAT volume, the mean FSF was quantified as a measure of fat quality. EAT segmentation from CT images was performed using deep learning techniques, and the EAT volume and its mean attenuation were quantified. Correlation between MRI- and CT-based measurements of EAT volume and quality was assessed using the Pearson correlation coefficient. Results Ninety-two participants (mean age, 59 years ± 5 [SD]; 60 male participants) were included. The intermodality correlation for EAT volume was very strong (<i>r</i> = 0.92, <i>P</i> < .001), with systematically larger values for CT versus MRI (<i>P</i> < .001). There was a strong negative correlation between MRI FSF and CT attenuation (<i>r</i> = -0.72, <i>P</i> < .001). Repeatability analysis for assessment of MRI EAT volume showed good interreader agreement (intraclass correlation coefficient, 0.86) and excellent intrareader agreement (intraclass correlation coefficient, 0.96). Conclusion Correlation between MRI and CT was very strong for EAT volume and strong for EAT quality. <b>Keywords:</b> Cardiac, Adipose Tissue (Obesity Studies), Epicardial Fat, Heart, Tissue Characterization, Comparative Studies, Magnetic Resonance Imaging, Computed Tomography, Fat Signal Fraction, Fat Attenuation Published under a CC BY 4.0 license.</p>","PeriodicalId":21168,"journal":{"name":"Radiology. Cardiothoracic imaging","volume":"7 4","pages":"e240531"},"PeriodicalIF":4.2000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Head-to-Head Comparison between MRI and CT in the Evaluation of Volume and Quality of Epicardial Adipose Tissue.\",\"authors\":\"Marjan Firouznia, David Molnar, Carl Edin, Ola Hjelmgren, Carl-Johan Östgren, Peter Lundberg, Markus Henningsson, Göran Bergström, Carl-Johan Carlhäll\",\"doi\":\"10.1148/ryct.240531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Purpose To systematically compare MRI- and CT-based measurements of both the volume and quality of epicardial adipose tissue (EAT). Materials and Methods This prospective study included participants from a subset of the Swedish CArdioPulmonary bioImage Study (SCAPIS) who underwent MRI and CT between November 2017 and July 2018. Dixon fat-water separation MR images were manually segmented, and a threshold-based approach based on a fat signal fraction (FSF) map was used to obtain the EAT volume. Within this EAT volume, the mean FSF was quantified as a measure of fat quality. EAT segmentation from CT images was performed using deep learning techniques, and the EAT volume and its mean attenuation were quantified. Correlation between MRI- and CT-based measurements of EAT volume and quality was assessed using the Pearson correlation coefficient. Results Ninety-two participants (mean age, 59 years ± 5 [SD]; 60 male participants) were included. The intermodality correlation for EAT volume was very strong (<i>r</i> = 0.92, <i>P</i> < .001), with systematically larger values for CT versus MRI (<i>P</i> < .001). There was a strong negative correlation between MRI FSF and CT attenuation (<i>r</i> = -0.72, <i>P</i> < .001). Repeatability analysis for assessment of MRI EAT volume showed good interreader agreement (intraclass correlation coefficient, 0.86) and excellent intrareader agreement (intraclass correlation coefficient, 0.96). Conclusion Correlation between MRI and CT was very strong for EAT volume and strong for EAT quality. <b>Keywords:</b> Cardiac, Adipose Tissue (Obesity Studies), Epicardial Fat, Heart, Tissue Characterization, Comparative Studies, Magnetic Resonance Imaging, Computed Tomography, Fat Signal Fraction, Fat Attenuation Published under a CC BY 4.0 license.</p>\",\"PeriodicalId\":21168,\"journal\":{\"name\":\"Radiology. Cardiothoracic imaging\",\"volume\":\"7 4\",\"pages\":\"e240531\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiology. Cardiothoracic imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1148/ryct.240531\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology. Cardiothoracic imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1148/ryct.240531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
目的系统比较MRI和ct对心外膜脂肪组织(EAT)体积和质量的测量结果。材料和方法本前瞻性研究纳入了来自瑞典心肺生物图像研究(SCAPIS)的一个子集的参与者,他们在2017年11月至2018年7月期间接受了MRI和CT检查。对Dixon脂水分离MR图像进行手动分割,并采用基于脂肪信号分数(FSF)图的阈值方法获得EAT体积。在这个进食量内,平均FSF被量化为脂肪质量的衡量标准。利用深度学习技术对CT图像进行EAT分割,量化EAT体积及其平均衰减。使用Pearson相关系数评估MRI和ct测量的EAT体积和质量之间的相关性。结果92例受试者(平均年龄59岁±5岁[SD];包括60名男性参与者)。EAT体积的多模态相关性非常强(r = 0.92, P < .001), CT比MRI的值更大(P < .001)。MRI FSF与CT衰减呈显著负相关(r = -0.72, P < 0.001)。MRI EAT容积评估的重复性分析显示,解读器一致性良好(类内相关系数为0.86),解读器内一致性优异(类内相关系数为0.96)。结论MRI与CT对EAT体积和EAT质量的相关性很强。关键词:心脏,脂肪组织(肥胖研究),心外膜脂肪,心脏,组织表征,比较研究,磁共振成像,计算机断层扫描,脂肪信号分数,脂肪衰减,CC BY 4.0许可下发表。
Head-to-Head Comparison between MRI and CT in the Evaluation of Volume and Quality of Epicardial Adipose Tissue.
Purpose To systematically compare MRI- and CT-based measurements of both the volume and quality of epicardial adipose tissue (EAT). Materials and Methods This prospective study included participants from a subset of the Swedish CArdioPulmonary bioImage Study (SCAPIS) who underwent MRI and CT between November 2017 and July 2018. Dixon fat-water separation MR images were manually segmented, and a threshold-based approach based on a fat signal fraction (FSF) map was used to obtain the EAT volume. Within this EAT volume, the mean FSF was quantified as a measure of fat quality. EAT segmentation from CT images was performed using deep learning techniques, and the EAT volume and its mean attenuation were quantified. Correlation between MRI- and CT-based measurements of EAT volume and quality was assessed using the Pearson correlation coefficient. Results Ninety-two participants (mean age, 59 years ± 5 [SD]; 60 male participants) were included. The intermodality correlation for EAT volume was very strong (r = 0.92, P < .001), with systematically larger values for CT versus MRI (P < .001). There was a strong negative correlation between MRI FSF and CT attenuation (r = -0.72, P < .001). Repeatability analysis for assessment of MRI EAT volume showed good interreader agreement (intraclass correlation coefficient, 0.86) and excellent intrareader agreement (intraclass correlation coefficient, 0.96). Conclusion Correlation between MRI and CT was very strong for EAT volume and strong for EAT quality. Keywords: Cardiac, Adipose Tissue (Obesity Studies), Epicardial Fat, Heart, Tissue Characterization, Comparative Studies, Magnetic Resonance Imaging, Computed Tomography, Fat Signal Fraction, Fat Attenuation Published under a CC BY 4.0 license.