• 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

相似文献

1
A radiogenomic analysis of hepatocellular carcinoma: association between fractional allelic imbalance rate index and the liver imaging reporting and data system (LI-RADS) categories and features.肝细胞癌的放射基因组学分析:等位基因不平衡率指数与肝脏影像报告和数据系统(LI-RADS)类别及特征之间的关联
Br J Radiol. 2018 Jun;91(1086):20170962. doi: 10.1259/bjr.20170962. Epub 2018 Apr 4.
2
Diagnostic accuracy of contrast-enhanced ultrasound for the differential diagnosis of hepatocellular carcinoma: ESCULAP versus CEUS-LI-RADS.超声造影对肝细胞癌鉴别诊断的诊断准确性:爱克发与CEUS-LI-RADS对比
Eur J Gastroenterol Hepatol. 2017 Sep;29(9):1036-1044. doi: 10.1097/MEG.0000000000000916.
3
Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review.肝脏成像报告和数据系统在肝细胞癌或总体恶性肿瘤的计算机断层扫描和磁共振成像分析中的准确性:系统评价。
Gastroenterology. 2019 Mar;156(4):976-986. doi: 10.1053/j.gastro.2018.11.020. Epub 2018 Nov 13.
4
Computer-aided diagnosis program for classifying the risk of hepatocellular carcinoma on MR images following liver imaging reporting and data system (LI-RADS).基于肝脏影像报告和数据系统 (LI-RADS) 的磁共振成像肝细胞癌风险分类的计算机辅助诊断程序。
J Magn Reson Imaging. 2018 Mar;47(3):710-722. doi: 10.1002/jmri.25772. Epub 2017 May 26.
5
Hepatocellular carcinoma: Can LI-RADS v2017 with gadoxetic-acid enhancement magnetic resonance and diffusion-weighted imaging improve diagnostic accuracy?肝细胞癌:钆塞酸增强磁共振和弥散加权成像的 LI-RADS v2017 能否提高诊断准确性?
World J Gastroenterol. 2019 Feb 7;25(5):622-631. doi: 10.3748/wjg.v25.i5.622.
6
Diagnostic performance of MR for hepatocellular carcinoma based on LI-RADS v2018, compared with v2017.基于 LI-RADS v2018 的肝细胞癌的 MRI 诊断性能,与 v2017 相比。
J Magn Reson Imaging. 2019 Sep;50(3):746-755. doi: 10.1002/jmri.26640. Epub 2019 Jan 15.
7
LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features.LI-RADS 用于肝细胞癌的 MRI 诊断:主要特征和次要特征的性能。
Radiology. 2018 Jul;288(1):118-128. doi: 10.1148/radiol.2018171678. Epub 2018 Apr 10.
8
Diagnostic Performance of CT/MRI Liver Imaging Reporting and Data System v2017 for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.CT/MRI肝脏影像报告和数据系统v2017对肝细胞癌的诊断性能:一项系统评价和荟萃分析
Liver Int. 2020 Jun;40(6):1488-1497. doi: 10.1111/liv.14424. Epub 2020 Mar 19.
9
Diagnostic Performance of LI-RADS Version 2018, LI-RADS Version 2017, and OPTN Criteria for Hepatocellular Carcinoma.LI-RADS 版本 2018、LI-RADS 版本 2017 和 OPTN 标准用于诊断肝细胞癌的性能比较。
AJR Am J Roentgenol. 2020 Nov;215(5):1085-1092. doi: 10.2214/AJR.20.22772. Epub 2020 Sep 2.
10
Diagnostic Accuracy of CEUS LI-RADS for the Characterization of Liver Nodules 20 mm or Smaller in Patients at Risk for Hepatocellular Carcinoma.CEUS LI-RADS 在肝癌风险患者中对 20mm 或更小的肝脏结节的特征诊断准确性。
Radiology. 2020 Feb;294(2):329-339. doi: 10.1148/radiol.2019191086. Epub 2019 Dec 3.

引用本文的文献

1
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non-Invasive Precision Medicine in Cancer Patients.从图像到基因:基于人工智能的放射基因组学助力癌症患者实现无创精准医疗
Adv Sci (Weinh). 2025 Jan;12(2):e2408069. doi: 10.1002/advs.202408069. Epub 2024 Nov 13.
2
Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.支持肝脏影像报告和数据系统对基于CT和MR成像的肝细胞癌诊断的诊断价值的证据:一项系统评价和荟萃分析。
J Biomed Phys Eng. 2024 Feb 1;14(1):5-20. doi: 10.31661/jbpe.v0i0.2211-1562. eCollection 2024 Feb.
3
Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response.肝癌的放射组学:在患者选择、预测和治疗反应评估方面具有广阔的应用前景。
Abdom Radiol (NY). 2021 Aug;46(8):3674-3685. doi: 10.1007/s00261-021-03085-w. Epub 2021 Apr 23.
4
Radiomics of hepatocellular carcinoma.肝癌的放射组学。
Abdom Radiol (NY). 2021 Jan;46(1):111-123. doi: 10.1007/s00261-019-02378-5.
5
Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System.印度国家肝脏研究协会和印度放射与影像协会关于肝细胞癌诊断与成像的联合共识声明,纳入肝脏影像报告和数据系统
J Clin Exp Hepatol. 2019 Sep-Oct;9(5):625-651. doi: 10.1016/j.jceh.2019.07.005. Epub 2019 Aug 6.
6
Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018.肝细胞癌(HCC)与非 HCC:肝脏影像报告和数据系统 v2018 的准确性和可靠性。
Abdom Radiol (NY). 2019 Jun;44(6):2116-2132. doi: 10.1007/s00261-019-01948-x.

本文引用的文献

1
Comparison of the accuracy of AASLD and LI-RADS criteria for the non-invasive diagnosis of HCC smaller than 3 cm.比较 AASLD 和 LI-RADS 标准在诊断小于 3cm 的 HCC 方面的准确性。
J Hepatol. 2018 Apr;68(4):715-723. doi: 10.1016/j.jhep.2017.12.014. Epub 2017 Dec 21.
2
2017 Version of LI-RADS for CT and MR Imaging: An Update.2017 版 CT 和 MR 成像肝脏影像学报告和数据系统:更新。
Radiographics. 2017 Nov-Dec;37(7):1994-2017. doi: 10.1148/rg.2017170098.
3
Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study.LI-RADS 版本 2014 算法和影像学特征在诊断肝细胞癌中的读者间可靠性:一项大型国际多读者研究。
Radiology. 2018 Jan;286(1):173-185. doi: 10.1148/radiol.2017170376. Epub 2017 Nov 1.
4
LI-RADS categories: concepts, definitions, and criteria.LI-RADS 类别:概念、定义和标准。
Abdom Radiol (NY). 2018 Jan;43(1):101-110. doi: 10.1007/s00261-017-1334-x.
5
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging.多参数磁共振成像定量分析肝细胞癌异质性。
Sci Rep. 2017 May 26;7(1):2452. doi: 10.1038/s41598-017-02706-z.
6
Imaging-based surrogate markers of transcriptome subclasses and signatures in hepatocellular carcinoma: preliminary results.基于影像学的肝细胞癌转录组亚型和特征的替代标志物:初步结果。
Eur Radiol. 2017 Nov;27(11):4472-4481. doi: 10.1007/s00330-017-4844-6. Epub 2017 Apr 24.
7
A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma.计算机断层扫描放射基因组生物标志物可预测肝细胞癌的微血管侵犯和临床结局。
Hepatology. 2015 Sep;62(3):792-800. doi: 10.1002/hep.27877. Epub 2015 Jul 1.
8
Heterogeneous type 4 enhancement of hepatocellular carcinoma on dynamic CT is associated with tumor recurrence after radiofrequency ablation.动态 CT 上表现为异质性 4 型增强的肝细胞癌与射频消融后的肿瘤复发相关。
AJR Am J Roentgenol. 2011 Oct;197(4):W665-73. doi: 10.2214/AJR.11.6843.
9
New classification of dynamic computed tomography images predictive of malignant characteristics of hepatocellular carcinoma.基于动态 CT 图像的新型分类可预测肝细胞癌的恶性特征。
Hepatol Res. 2010 Oct;40(10):1006-14. doi: 10.1111/j.1872-034X.2010.00703.x.
10
Radiogenomics: creating a link between molecular diagnostics and diagnostic imaging.放射基因组学:在分子诊断与诊断成像之间建立联系。
Eur J Radiol. 2009 May;70(2):232-41. doi: 10.1016/j.ejrad.2009.01.050. Epub 2009 Mar 19.

肝细胞癌的放射基因组学分析:等位基因不平衡率指数与肝脏影像报告和数据系统(LI-RADS)类别及特征之间的关联

A radiogenomic analysis of hepatocellular carcinoma: association between fractional allelic imbalance rate index and the liver imaging reporting and data system (LI-RADS) categories and features.

作者信息

Furlan Alessandro, Almusa Omar, Yu Robinson K, Sagreiya Hersh, Borhani Amir A, Bae Kyongtae T, Marsh J Wallis

机构信息

1 Department of Radiology, University of Pittsburgh Medical Center , Pittsburgh, PA , United States.

2 Department of Radiology, Brigham and Women's Hospital , Boston, MA , USA.

出版信息

Br J Radiol. 2018 Jun;91(1086):20170962. doi: 10.1259/bjr.20170962. Epub 2018 Apr 4.

DOI:10.1259/bjr.20170962
PMID:29565672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6223296/
Abstract

OBJECTIVE

To evaluate the association between the liver imaging reporting and data system (LI-RADS) categories and features and the fractional allelic imbalance (FAI) rate index of hepatocellular carcinoma (HCC).

METHODS

The institutional review board approved this retrospective study. Medical records collected between January 2008 and December 2013 were reviewed to find patients with histologically confirmed HCC, FAI analysis, and CT or MR imaging of the liver. The final population included 71 patients (54 males, 17 females). Three radiologists reviewed the images using the LI-RADS v. 2014. The association between FAI and LI-RADS categories and features was tested using the Spearman's rank correlation coefficient (rho) and the Wilcoxon rank-sum test [low FAI (<40%) vs high FAI (≥40%)]. A p value < 0.007 was used as the threshold for statistical significance after application of the Bonferroni correction for multiple comparisons.

RESULTS

HCCs were classified as LR-3 (n = 4), LR-4 (n = 22), and LR-5 (n = 45). There was a positive correlation (rho = 0.264) between FAI rate index and LI-RADS category, although not statistically significant after Bonferroni correction (p = 0.024). 14 of the 20 (70%) HCCs with high FAI (≥40%) were categorized as LR-5, 6/20 (30%) as LR-4 and none as LR-3 (p = 0.377). Among the evaluated LI-RADS imaging features, only lesion size showed a statistically significant different distribution in tumors with high FAI compared to those with low FAI. HCCs with FAI ≥40% were larger (56 ± 42 mm) compared to those with FAI <40% (36 ± 30 mm; p = 0.005).

CONCLUSION

There was a positive correlation, although not statistically significant, between the LI-RADS diagnostic categories and the FAI rate of HCC. Tumors with high FAI were larger compared to those with low FAI. Advances in knowledge: HCCs with high (≥40%) FAI are larger compared to those with low (<40%) FAI.

摘要

目的

评估肝脏影像报告和数据系统(LI-RADS)分类及特征与肝细胞癌(HCC)的等位基因不平衡率指数(FAI)之间的关联。

方法

机构审查委员会批准了这项回顾性研究。回顾2008年1月至2013年12月期间收集的病历,以找出经组织学证实患有HCC、进行了FAI分析以及肝脏CT或MR成像的患者。最终纳入71例患者(男性54例,女性17例)。三名放射科医生使用LI-RADS v. 2014对图像进行评估。使用Spearman等级相关系数(rho)和Wilcoxon秩和检验[低FAI(<40%)与高FAI(≥40%)]来检验FAI与LI-RADS分类及特征之间的关联。在应用Bonferroni校正进行多重比较后,将p值<0.007用作具有统计学意义的阈值。

结果

HCC被分类为LR-3(n = 4)、LR-4(n = 22)和LR-5(n = 45)。FAI率指数与LI-RADS分类之间存在正相关(rho = 0.264),尽管在Bonferroni校正后无统计学意义(p = 0.024)。20例高FAI(≥40%)的HCC中有14例(70%)被分类为LR-5,6/20(30%)为LR-4,无LR-3(p = 0.377)。在评估的LI-RADS影像特征中,与低FAI的肿瘤相比,仅病变大小在高FAI的肿瘤中显示出统计学上显著不同的分布。FAI≥40%的HCC比FAI<40%的HCC更大(56±42mm对