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肝细胞癌治疗反应评估的影像学检查:最新进展

Imaging for assessment of treatment response in hepatocellular carcinoma: Current update.

作者信息

Hayano Koichi, Lee Sang Ho, Sahani Dushyant V

机构信息

Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

出版信息

Indian J Radiol Imaging. 2015 Apr-Jun;25(2):121-8. doi: 10.4103/0971-3026.155835.

DOI:10.4103/0971-3026.155835
PMID:25969635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4419421/
Abstract

Morphologic methods such as the Response Evaluation Criteria in Solid Tumors (RECIST) are considered as the gold standard for response assessment in the management of cancer. However, with the increasing clinical use of antineoplastic cytostatic agents and locoregional interventional therapies in hepatocellular carcinoma (HCC), conventional morphologic methods are confronting limitations in response assessment. Thus, there is an increasing interest in new imaging methods for response assessment, which can evaluate tumor biology such as vascular physiology, fibrosis, necrosis, and metabolism. In this review, we discuss various novel imaging methods for response assessment and compare them with the conventional ones in HCC.

摘要

诸如实体瘤疗效评价标准(RECIST)之类的形态学方法被视为癌症管理中疗效评估的金标准。然而,随着抗肿瘤细胞毒性药物和局部区域介入治疗在肝细胞癌(HCC)临床应用的增加,传统形态学方法在疗效评估中面临局限性。因此,人们对用于疗效评估的新成像方法越来越感兴趣,这些新方法可以评估肿瘤生物学特性,如血管生理学、纤维化、坏死和代谢。在本综述中,我们讨论了用于疗效评估的各种新型成像方法,并将它们与HCC中的传统成像方法进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/c25fc6f6e7d1/IJRI-25-121-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/55a796a0e5f7/IJRI-25-121-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/5f64ff204706/IJRI-25-121-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/b2abe42eb2ed/IJRI-25-121-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/f870cf7d5060/IJRI-25-121-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/4617430f6c65/IJRI-25-121-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/c25fc6f6e7d1/IJRI-25-121-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/55a796a0e5f7/IJRI-25-121-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/5f64ff204706/IJRI-25-121-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/b2abe42eb2ed/IJRI-25-121-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/f870cf7d5060/IJRI-25-121-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/4617430f6c65/IJRI-25-121-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d26/4419421/c25fc6f6e7d1/IJRI-25-121-g008.jpg

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Acad Radiol. 2014 May;21(5):654-60. doi: 10.1016/j.acra.2014.01.020.
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World J Gastroenterol. 2014 Mar 28;20(12):3059-68. doi: 10.3748/wjg.v20.i12.3059.
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Magnetic resonance imaging biomarkers in hepatocellular carcinoma: association with response and circulating biomarkers after sunitinib therapy.
Angiogenesis in Hepatocellular Carcinoma; Pathophysiology, Targeted Therapy, and Role of Imaging.
肝细胞癌中的血管生成;病理生理学、靶向治疗及影像学的作用
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Deep learning workflow in radiology: a primer.放射学中的深度学习工作流程:入门指南。
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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
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