以质子密度脂肪分数为参考,用双层光谱探测器 CT 检测肝脏脂肪变性。

IF 4.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Min Wang, Hongyu Chen, Yue Ma, Ruobing Bai, Sizhe Gao, Linlin Yang, Wenli Guo, Cong Zhang, Chengjun Kang, Yu Lan, Yanqiu Sun, Yonggao Zhang, Xigang Xiao, Yang Hou
{"title":"以质子密度脂肪分数为参考,用双层光谱探测器 CT 检测肝脏脂肪变性。","authors":"Min Wang, Hongyu Chen, Yue Ma, Ruobing Bai, Sizhe Gao, Linlin Yang, Wenli Guo, Cong Zhang, Chengjun Kang, Yu Lan, Yanqiu Sun, Yonggao Zhang, Xigang Xiao, Yang Hou","doi":"10.1186/s13244-024-01716-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the diagnostic accuracy of liver dual-layer spectral-detector CT (SDCT) derived parameters of liver parenchyma for grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF).</p><p><strong>Methods: </strong>Altogether, 320 consecutive subjects who underwent MRI-PDFF and liver SDCT examinations were recruited and prospectively enrolled from four Chinese hospital centers. Participants were classified into normal (n = 152), mild steatosis (n = 110), and moderate/severe(mod/sev) steatosis (n = 58) groups based on MRI-PDFF. SDCT liver parameters were evaluated using conventional polychromatic CT images (CT<sub>poly</sub>), virtual mono-energetic images at 40 keV (CT<sub>40kev</sub>), the slope of the spectral attenuation curve (λ), the effective atomic number (Zeff), and liver to spleen attenuation ratio (L/S ratio). Linearity between SDCT liver parameters and MRI-PDFF was examined using Spearman correlation. Cutoff values for SDCT liver parameters in determining steatosis grades were identified using the area under the receiver-operating characteristic curve analyses.</p><p><strong>Results: </strong>SDCT liver parameters demonstrated a strong correlation with PDFF, particularly Zeff (r<sub>s</sub> = -0.856; p < 0.001). Zeff achieved an area under the curve (AUC) of 0.930 for detecting the presence of steatosis with a sensitivity of 89.4%, a specificity of 82.4%, and an AUC of 0.983 for detecting mod/sev steatosis with a sensitivity of 93.1%, a specificity of 93.5%, the corresponding cutoff values were 7.12 and 6.94, respectively. Zeff also exhibited good diagnostic performance for liver steatosis grading in subgroups, independent of body mass index.</p><p><strong>Conclusion: </strong>SDCT liver parameters, particularly Zeff, exhibit excellent diagnostic accuracy for grading steatosis.</p><p><strong>Critical relevance statement: </strong>Dual-layer SDCT parameter, Zeff, as a more convenient and accurate imaging biomarker may serve as an alternative indicator for MRI-based proton density fat fraction, exploring the stage and prognosis of liver steatosis, and even metabolic risk assessment.</p><p><strong>Key points: </strong>Liver biopsy is the standard for grading liver steatosis, but is limited by its invasive nature. The diagnostic performance of liver steatosis using SDCT-Zeff outperforms conventional CT parameters. SDCT-Zeff accurately and noninvasively assessed the grade of liver steatosis.</p>","PeriodicalId":13639,"journal":{"name":"Insights into Imaging","volume":"15 1","pages":"210"},"PeriodicalIF":4.1000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11327236/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dual-layer spectral-detector CT for detecting liver steatosis by using proton density fat fraction as reference.\",\"authors\":\"Min Wang, Hongyu Chen, Yue Ma, Ruobing Bai, Sizhe Gao, Linlin Yang, Wenli Guo, Cong Zhang, Chengjun Kang, Yu Lan, Yanqiu Sun, Yonggao Zhang, Xigang Xiao, Yang Hou\",\"doi\":\"10.1186/s13244-024-01716-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>To evaluate the diagnostic accuracy of liver dual-layer spectral-detector CT (SDCT) derived parameters of liver parenchyma for grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF).</p><p><strong>Methods: </strong>Altogether, 320 consecutive subjects who underwent MRI-PDFF and liver SDCT examinations were recruited and prospectively enrolled from four Chinese hospital centers. Participants were classified into normal (n = 152), mild steatosis (n = 110), and moderate/severe(mod/sev) steatosis (n = 58) groups based on MRI-PDFF. SDCT liver parameters were evaluated using conventional polychromatic CT images (CT<sub>poly</sub>), virtual mono-energetic images at 40 keV (CT<sub>40kev</sub>), the slope of the spectral attenuation curve (λ), the effective atomic number (Zeff), and liver to spleen attenuation ratio (L/S ratio). Linearity between SDCT liver parameters and MRI-PDFF was examined using Spearman correlation. Cutoff values for SDCT liver parameters in determining steatosis grades were identified using the area under the receiver-operating characteristic curve analyses.</p><p><strong>Results: </strong>SDCT liver parameters demonstrated a strong correlation with PDFF, particularly Zeff (r<sub>s</sub> = -0.856; p < 0.001). Zeff achieved an area under the curve (AUC) of 0.930 for detecting the presence of steatosis with a sensitivity of 89.4%, a specificity of 82.4%, and an AUC of 0.983 for detecting mod/sev steatosis with a sensitivity of 93.1%, a specificity of 93.5%, the corresponding cutoff values were 7.12 and 6.94, respectively. Zeff also exhibited good diagnostic performance for liver steatosis grading in subgroups, independent of body mass index.</p><p><strong>Conclusion: </strong>SDCT liver parameters, particularly Zeff, exhibit excellent diagnostic accuracy for grading steatosis.</p><p><strong>Critical relevance statement: </strong>Dual-layer SDCT parameter, Zeff, as a more convenient and accurate imaging biomarker may serve as an alternative indicator for MRI-based proton density fat fraction, exploring the stage and prognosis of liver steatosis, and even metabolic risk assessment.</p><p><strong>Key points: </strong>Liver biopsy is the standard for grading liver steatosis, but is limited by its invasive nature. The diagnostic performance of liver steatosis using SDCT-Zeff outperforms conventional CT parameters. SDCT-Zeff accurately and noninvasively assessed the grade of liver steatosis.</p>\",\"PeriodicalId\":13639,\"journal\":{\"name\":\"Insights into Imaging\",\"volume\":\"15 1\",\"pages\":\"210\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11327236/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Insights into Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13244-024-01716-6\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"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":"Insights into Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13244-024-01716-6","RegionNum":2,"RegionCategory":"医学","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

目的评估肝脏双层光谱探测器 CT(SDCT)得出的肝实质参数对脂肪变性分级的诊断准确性,并参考基于磁共振成像的质子密度脂肪分数(MRI-PDFF):方法:从中国四家医院中心招募并前瞻性登记了320名连续接受MRI-PDFF和肝脏SDCT检查的受试者。根据 MRI-PDFF 将受试者分为正常组(152 人)、轻度脂肪变性组(110 人)和中度/重度(mod/sev)脂肪变性组(58 人)。使用常规多色 CT 图像 (CTpoly)、40 keV 虚拟单能图像 (CT40kev)、光谱衰减曲线斜率 (λ)、有效原子序数 (Zeff) 和肝脾衰减比 (L/S ratio) 评估 SDCT 肝参数。使用 Spearman 相关性检验了 SDCT 肝参数与 MRI-PDFF 之间的线性关系。利用受体运行特征曲线下面积分析确定了SDCT肝脏参数在确定脂肪变性等级时的临界值:结果:SDCT肝脏参数与PDFF,尤其是Zeff(rs = -0.856;p 结论:SDCT肝脏参数,尤其是Zeff与PDFF之间存在很强的相关性:SDCT肝脏参数,尤其是Zeff,对脂肪变性的分级具有极高的诊断准确性:双层 SDCT 参数 Zeff 作为一种更方便、更准确的成像生物标志物,可作为基于 MRI 的质子密度脂肪分数的替代指标,探索肝脏脂肪变性的分期和预后,甚至进行代谢风险评估:要点:肝脏活检是对肝脏脂肪变性进行分级的标准,但因其侵入性而受到限制。SDCT-Zeff对肝脏脂肪变性的诊断性能优于传统的CT参数。SDCT-Zeff能准确、无创地评估肝脏脂肪变性的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-layer spectral-detector CT for detecting liver steatosis by using proton density fat fraction as reference.

Objectives: To evaluate the diagnostic accuracy of liver dual-layer spectral-detector CT (SDCT) derived parameters of liver parenchyma for grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF).

Methods: Altogether, 320 consecutive subjects who underwent MRI-PDFF and liver SDCT examinations were recruited and prospectively enrolled from four Chinese hospital centers. Participants were classified into normal (n = 152), mild steatosis (n = 110), and moderate/severe(mod/sev) steatosis (n = 58) groups based on MRI-PDFF. SDCT liver parameters were evaluated using conventional polychromatic CT images (CTpoly), virtual mono-energetic images at 40 keV (CT40kev), the slope of the spectral attenuation curve (λ), the effective atomic number (Zeff), and liver to spleen attenuation ratio (L/S ratio). Linearity between SDCT liver parameters and MRI-PDFF was examined using Spearman correlation. Cutoff values for SDCT liver parameters in determining steatosis grades were identified using the area under the receiver-operating characteristic curve analyses.

Results: SDCT liver parameters demonstrated a strong correlation with PDFF, particularly Zeff (rs = -0.856; p < 0.001). Zeff achieved an area under the curve (AUC) of 0.930 for detecting the presence of steatosis with a sensitivity of 89.4%, a specificity of 82.4%, and an AUC of 0.983 for detecting mod/sev steatosis with a sensitivity of 93.1%, a specificity of 93.5%, the corresponding cutoff values were 7.12 and 6.94, respectively. Zeff also exhibited good diagnostic performance for liver steatosis grading in subgroups, independent of body mass index.

Conclusion: SDCT liver parameters, particularly Zeff, exhibit excellent diagnostic accuracy for grading steatosis.

Critical relevance statement: Dual-layer SDCT parameter, Zeff, as a more convenient and accurate imaging biomarker may serve as an alternative indicator for MRI-based proton density fat fraction, exploring the stage and prognosis of liver steatosis, and even metabolic risk assessment.

Key points: Liver biopsy is the standard for grading liver steatosis, but is limited by its invasive nature. The diagnostic performance of liver steatosis using SDCT-Zeff outperforms conventional CT parameters. SDCT-Zeff accurately and noninvasively assessed the grade of liver steatosis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Insights into Imaging
Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
7.30
自引率
4.30%
发文量
182
审稿时长
13 weeks
期刊介绍: Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信