LI-RADS (R) algorithm: CT and MRI

Chernyak Victoria; Santillan Cynthia S.; Papadatos Demetri; Sirlin Claude B.

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LI-RADS (R) algorithm: CT and MRI

机译：LI-RADS（R）算法：CT和MRI

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摘要

The Liver Imaging Reporting and Data System (LI-RADS (R)) is an imaging-based diagnostic system applicable in patients at high risk of hepatocellular carcinoma (HCC). In LI-RADS, each liver observation is assigned a category that reflects probability of benignity, HCC, or other malignancy. Familiarity with the LI-RADS diagnostic algorithm is necessary to appropriately implement LI-RADS in clinical practice. This review discusses steps necessary for application of the LI-RADS algorithm and provides examples illustrating each step.

机译：肝脏成像报告和数据系统（Li-Rads（R））是一种基于成像的诊断系统，适用于肝细胞癌高风险（HCC）的患者。在Li-rads中，分配了每个肝脏观察，该类别反映了脑电相，HCC或其他恶性肿瘤的概率。熟悉LI-RADS诊断算法是在临床实践中适当实施LI-RAD的必要条件。此述评讨论应用Li-RADS算法所需的步骤，并提供示例说明每个步骤。

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来源
《Abdominal radiology.》 |2018年第1期|共16页
作者
Chernyak Victoria; Santillan Cynthia S.; Papadatos Demetri; Sirlin Claude B.;
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作者单位

Montefiore Med Ctr Dept Radiol 111 E 210th St Bronx NY 10467 USA;

Univ Calif San Diego Dept Radiol Liver Imaging Grp San Diego CA 92103 USA;

Ottawa Hosp Dept Diagnost Imaging Ottawa ON Canada;

Univ Calif San Diego Dept Radiol Liver Imaging Grp San Diego CA 92103 USA;

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原文格式 PDF
正文语种 eng
中图分类内科学;
关键词
Review article; LI-RADS; Hepatocellular carcinoma; Imaging categories;

机译：审查文章;Li-rads;肝细胞癌;成像类别;

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1. Diagnostic Performance of LI-RADS Treatment Response Algorithm for Hepatocellular Carcinoma: Adding Ancillary Features to MRI Compared with Enhancement Patterns at CT and MRI [J] . Park Sungeun, Joo Ijin, Lee Dong Ho, Radiology . 2020,第3期

机译：肝细胞癌Li-Rads治疗响应算法的诊断性能：将辅助特征添加到MRI与CT和MRI的增强模式相比
2. LI-RADS (R) algorithm: CT and MRI [J] . Chernyak Victoria, Santillan Cynthia S., Papadatos Demetri, Abdominal radiology. . 2018,第1期

机译：LI-RADS（R）算法：CT和MRI
3. Differentiation of small (≤?3?cm) hepatocellular carcinomas from benign nodules in cirrhotic liver: the added additive value of MRI-based radiomics analysis to LI-RADS version 2018 algorithm [J] . Xi Zhong, Tianpei Guan, Danrui Tang, BMC Gastroenterology . 2021,第1期

机译：来自肝硬化肝脏的良性结节的小（≤α3≤CM）肝细胞癌的分化：对MRI的辐射瘤分析对Li-RADS版2018算法的附加添加剂值
4. Real-time active noise control of multi-tones and MRI acoustic noise in fMRI bore with signal decomposition and parallel hybrid RLS-NLMS adaptive algorithms [C] . Krishna Vemuri S.H., Ganguly A., Panahi I. IEEE Dallas Circuits and Systems Conference . 2014

机译：利用信号分解和并行混合RLS-NLMS自适应算法实时实时控制fMRI孔中多音和MRI声噪声
5. Probabilistic discriminant analysis for functional MRI and model-based tuning algorithm for MRI coil array. [D] . Liu, Liang. 2010

机译：功能性MRI的概率判别分析和MRI线圈阵列的基于模型的调整算法。
6. Usefulness of Arterial Subtraction in Applying Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm to Gadoxetic Acid-Enhanced MRI [O] . Seo Yeon Youn, Dong Hwan Kim, Joon-Il Choi, 2021

机译：肝脏成像报告和数据系统（LI-RADS）治疗响应算法对乙酰酸增强MRI的有用性
7. CT/MRI LI-RADS v2018 vs. CEUS LI-RADS v2017—Can Things Be Put Together? [O] . Cosmin Caraiani, Bianca Boca, Vlad Bura, 2021

机译：CT / MRI LI-RADS V2018 VS. CEUS LI-RADS V2017 - 是否可以组合在一起？

LI-RADS (R) algorithm: CT and MRI

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