• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

以FIB-4指数为参考标准,通过对常规MRI中肝脏异质性和结节性进行综合分析评估肝纤维化分期

Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard.

作者信息

Kim Tae-Hoon, Jeong Chang-Won, Kim Ji Eon, Kim Jin Woong, Jo Hoon Gil, Kim Youe Ree, Lee Young Hwan, Yoon Kwon-Ha

机构信息

Medical Convergence Research Center, Wonkwang University, Iksan 54538, Korea.

Smart Health IT Center, Wonkwang University Hospital, Iksan 54538, Korea.

出版信息

J Clin Med. 2021 Apr 15;10(8):1697. doi: 10.3390/jcm10081697.

DOI:10.3390/jcm10081697
PMID:33920804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8071162/
Abstract

Image-based quantitative methods for liver heterogeneity (L) and nodularity (L) provide helpful information for evaluating liver fibrosis; however, their combinations are not fully understood in liver diseases. We developed an integrated software for assessing L and L and compared L and L according to fibrosis stages in chronic liver disease (CLD). Overall, 111 CLD patients and 16 subjects with suspected liver disease who underwent liver biopsy were enrolled. The procedures for quantifying L and L were bias correction, contour detection, liver segmentation, and L and L measurements. L and L scores among fibrosis stages (F0-F3) were compared using ANOVA with Tukey's test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (AUROC) curve. The mean L scores of F0, F1, F2, and F3 were 3.49 ± 0.34, 5.52 ± 0.88, 6.80 ± 0.97, and 7.56 ± 1.79, respectively ( < 0.001). The mean L scores of F0, F1, F2, and F3 were 0.84 ± 0.06, 0.91 ± 0.04, 1.09 ± 0.08, and 1.15 ± 0.14, respectively ( < 0.001). The combined L × L scores of F0, F1, F2, and F3 were 2.96 ± 0.46, 5.01 ± 0.91, 7.30 ± 0.89, and 8.48 ± 1.34, respectively ( < 0.001). The AUROCs of L, L, and L × L for differentiating F1 vs. F2 and F2 vs. F3 were 0.845, 0.958, and 0.954; and 0.619, 0.689, and 0.761, respectively. The combination of L and L scores derived from routine MR images allows better differential diagnosis of fibrosis subgroups in CLD.

摘要

基于图像的肝脏异质性(L)和结节性(L)定量方法为评估肝纤维化提供了有用信息;然而,它们在肝脏疾病中的联合应用尚未完全明确。我们开发了一种用于评估L和L的集成软件,并根据慢性肝病(CLD)的纤维化阶段比较了L和L。总共纳入了111例接受肝活检的CLD患者和16例疑似肝病患者。量化L和L的步骤包括偏差校正、轮廓检测、肝脏分割以及L和L测量。使用方差分析和Tukey检验比较纤维化阶段(F0 - F3)之间的L和L评分。通过计算受试者操作特征(AUROC)曲线下面积来确定诊断准确性。F0、F1、F2和F3的平均L评分分别为3.49±0.34、5.52±0.88、6.80±0.97和7.56±1.79(<0.001)。F0、F1、F2和F3的平均L评分分别为0.84±0.06、0.91±0.04、1.09±0.08和1.15±0.14(<0.001)。F0、F1、F2和F3的联合L×L评分分别为2.96±0.46、5.01±0.91、7.30±0.89和8.48±1.34(<0.001)。L、L和L×L区分F1与F2以及F2与F3的AUROC分别为0.845、0.958和0.954;以及0.619、0.689和0.761。从常规MR图像得出的L和L评分联合应用能够更好地对CLD中的纤维化亚组进行鉴别诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/dd1509012ebe/jcm-10-01697-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/0b9d687b2492/jcm-10-01697-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/6e5e3122b4a9/jcm-10-01697-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/8d2b817ad84a/jcm-10-01697-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/a917b3110b04/jcm-10-01697-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/2f1094f0d5e2/jcm-10-01697-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/dd1509012ebe/jcm-10-01697-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/0b9d687b2492/jcm-10-01697-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/6e5e3122b4a9/jcm-10-01697-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/8d2b817ad84a/jcm-10-01697-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/a917b3110b04/jcm-10-01697-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/2f1094f0d5e2/jcm-10-01697-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddd6/8071162/dd1509012ebe/jcm-10-01697-g006.jpg

相似文献

1
Assessment of Liver Fibrosis Stage Using Integrative Analysis of Hepatic Heterogeneity and Nodularity in Routine MRI with FIB-4 Index as Reference Standard.以FIB-4指数为参考标准,通过对常规MRI中肝脏异质性和结节性进行综合分析评估肝纤维化分期
J Clin Med. 2021 Apr 15;10(8):1697. doi: 10.3390/jcm10081697.
2
Multiinstitutional Evaluation of the Liver Surface Nodularity Score on CT for Staging Liver Fibrosis and Predicting Liver-Related Events in Patients With Hepatitis C.多机构对CT肝脏表面结节评分在丙型肝炎患者肝纤维化分期及预测肝脏相关事件中的评估
AJR Am J Roentgenol. 2022 May;218(5):833-845. doi: 10.2214/AJR.21.27062. Epub 2021 Dec 22.
3
Serum N-glycan markers for diagnosing liver fibrosis induced by hepatitis B virus.血清 N-糖基化标志物用于诊断乙型肝炎病毒引起的肝纤维化。
World J Gastroenterol. 2020 Mar 14;26(10):1067-1079. doi: 10.3748/wjg.v26.i10.1067.
4
Accuracy of Liver Surface Nodularity Quantification on MDCT as a Noninvasive Biomarker for Staging Hepatic Fibrosis.多层螺旋CT肝脏表面结节量化作为肝纤维化分期无创生物标志物的准确性
AJR Am J Roentgenol. 2016 Dec;207(6):1194-1199. doi: 10.2214/AJR.16.16514. Epub 2016 Aug 30.
5
Accuracy of liver surface nodularity quantification on MDCT for staging hepatic fibrosis in patients with hepatitis C virus.MDCT 对丙型肝炎病毒患者肝纤维化分期的肝表面结节量化的准确性。
Abdom Radiol (NY). 2018 Nov;43(11):2980-2986. doi: 10.1007/s00261-018-1572-6.
6
Development of liver surface nodularity quantification program and its clinical application in nonalcoholic fatty liver disease.开发肝脏表面结节量化程序及其在非酒精性脂肪性肝病中的临床应用。
Sci Rep. 2019 Jul 10;9(1):9994. doi: 10.1038/s41598-019-46442-y.
7
Diffusion-weighted MRI-based Virtual Elastography for the Assessment of Liver Fibrosis.基于扩散加权磁共振成像的虚拟弹性成像用于评估肝纤维化。
Radiology. 2020 Apr;295(1):127-135. doi: 10.1148/radiol.2020191498. Epub 2020 Feb 11.
8
Noninvasive Liver Fibrosis Tests in Patients with Nonalcoholic Fatty Liver Disease: An External Validation Cohort.非酒精性脂肪性肝病患者的非侵入性肝纤维化检测:一个外部验证队列
Horm Metab Res. 2019 Feb;51(2):134-140. doi: 10.1055/a-0713-1330. Epub 2018 Oct 1.
9
Magnetic Resonance Diffusion Kurtosis Imaging for Evaluating Stage of Liver Fibrosis in a Rabbit Model.磁共振扩散峰度成像评价兔肝纤维化分期的价值。
Acad Radiol. 2019 Jun;26(6):e90-e97. doi: 10.1016/j.acra.2018.06.018. Epub 2018 Jul 31.
10
Regional Analysis of Liver Surface Nodularity in a Single Axial MR Image for Staging Liver Fibrosis.单轴 MR 图像上肝脏表面结节性的区域分析用于肝纤维化分期。
J Magn Reson Imaging. 2022 Dec;56(6):1781-1791. doi: 10.1002/jmri.28208. Epub 2022 May 11.

引用本文的文献

1
Regional Analysis of Liver Surface Nodularity in a Single Axial MR Image for Staging Liver Fibrosis.单轴 MR 图像上肝脏表面结节性的区域分析用于肝纤维化分期。
J Magn Reson Imaging. 2022 Dec;56(6):1781-1791. doi: 10.1002/jmri.28208. Epub 2022 May 11.

本文引用的文献

1
Advances in functional and molecular MRI technologies in chronic liver diseases.慢性肝脏疾病的功能和分子 MRI 技术进展。
J Hepatol. 2020 Nov;73(5):1241-1254. doi: 10.1016/j.jhep.2020.06.020. Epub 2020 Jun 22.
2
Development of liver surface nodularity quantification program and its clinical application in nonalcoholic fatty liver disease.开发肝脏表面结节量化程序及其在非酒精性脂肪性肝病中的临床应用。
Sci Rep. 2019 Jul 10;9(1):9994. doi: 10.1038/s41598-019-46442-y.
3
Assessment of liver fibrosis with gadoxetic acid-enhanced MRI: comparisons with transient elastography, ElastPQ, and serologic fibrosis markers.
钆塞酸增强 MRI 评估肝纤维化:与瞬时弹性成像、ElastPQ 和血清纤维化标志物的比较。
Abdom Radiol (NY). 2019 Aug;44(8):2769-2780. doi: 10.1007/s00261-019-02041-z.
4
Current Imaging Techniques for Noninvasive Staging of Hepatic Fibrosis.用于肝纤维化无创分期的当前成像技术
AJR Am J Roentgenol. 2019 Jul;213(1):77-89. doi: 10.2214/AJR.19.21144. Epub 2019 Apr 11.
5
Radiomics Analysis of Gadoxetic Acid-enhanced MRI for Staging Liver Fibrosis.钆塞酸增强 MRI 影像学组学分析用于肝纤维化分期。
Radiology. 2019 Feb;290(2):380-387. doi: 10.1148/radiol.2018181197. Epub 2018 Dec 4.
6
Quantification of Liver Surface Nodularity at CT: Utility for Detection of Portal Hypertension.CT 定量评估肝脏表面结节程度:对门静脉高压检测的应用价值。
Radiology. 2018 Dec;289(3):698-707. doi: 10.1148/radiol.2018181131. Epub 2018 Sep 4.
7
Imaging of Hepatic Fibrosis.肝纤维化的影像学检查
Curr Gastroenterol Rep. 2018 Aug 29;20(10):45. doi: 10.1007/s11894-018-0652-7.
8
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.基于卷积神经网络的剪切波弹性成像乳腺肿瘤分类的放射组学方法。
IEEE Trans Biomed Eng. 2018 Sep;65(9):1935-1942. doi: 10.1109/TBME.2018.2844188. Epub 2018 Jun 5.
9
APRI and FIB-4 in the evaluation of liver fibrosis in chronic hepatitis C patients stratified by AST level.APRI 和 FIB-4 在按 AST 水平分层的慢性丙型肝炎患者肝纤维化评估中的应用。
PLoS One. 2018 Jun 28;13(6):e0199760. doi: 10.1371/journal.pone.0199760. eCollection 2018.
10
A fast level set method for inhomogeneous image segmentation with adaptive scale parameter.一种具有自适应尺度参数的非均匀图像分割快速水平集方法。
Magn Reson Imaging. 2018 Oct;52:33-45. doi: 10.1016/j.mri.2018.05.011. Epub 2018 May 25.