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原发性肝癌的影像组学和放射组学。

Radiomics and radiogenomics of primary liver cancers.

机构信息

Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.

Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

出版信息

Clin Mol Hepatol. 2019 Mar;25(1):21-29. doi: 10.3350/cmh.2018.1007. Epub 2018 Nov 16.

DOI:10.3350/cmh.2018.1007
PMID:30441889
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6435966/
Abstract

Concurrent advancements in imaging and genomic biomarkers have created opportunities to identify non-invasive imaging surrogates of molecular phenotypes. In order to develop such imaging surrogates radiomics and radiogenomics/imaging genomics will be necessary; there has been consistent progress in these fields for primary liver cancers. In this article we evaluate the current status of the field specifically with regards to hepatocellular carcinoma and intrahepatic cholangiocarcinoma, highlighting some of the up and coming results that were presented at the annual Radiological Society of North America Conference in 2017. There are an increasing number of studies in this area with a bias towards quantitative feature measurement, which is expected to benefit reproducibility of the findings and portends well for the future development of biomarkers for diagnosis, prognosis, and treatment response assessment. We review some of the advancements and look forward to some of the exciting future applications that are anticipated as the field develops.

摘要

影像组学和放射组学/影像基因组学的发展是建立非侵入性分子影像学替代物的必要条件,这些领域在原发性肝癌的研究中取得了持续的进展。本文评估了该领域在肝细胞癌和肝内胆管细胞癌方面的现状,重点介绍了 2017 年北美放射学会年会上展示的一些新出现的结果。该领域的研究数量不断增加,偏向于定量特征测量,这有望提高研究结果的可重复性,并为未来开发用于诊断、预后和治疗反应评估的生物标志物提供良好的前景。我们回顾了一些进展,并期待随着该领域的发展,能够出现一些令人兴奋的未来应用。

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本文引用的文献

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Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics?肝内胆管癌:影像学表型能否预测生存和肿瘤遗传学?
Abdom Radiol (NY). 2018 Oct;43(10):2665-2672. doi: 10.1007/s00261-018-1505-4.
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Hepatobiliary MRI as novel selection criteria in liver transplantation for hepatocellular carcinoma.肝胆磁共振成像作为肝癌肝移植的新型选择标准。
J Hepatol. 2018 Jun;68(6):1144-1152. doi: 10.1016/j.jhep.2018.01.024. Epub 2018 Mar 5.
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Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data-a preliminary study.
通过瘤周放射组学推进肝细胞癌管理:增强诊断、治疗和预后
J Hepatocell Carcinoma. 2024 Nov 4;11:2159-2168. doi: 10.2147/JHC.S493227. eCollection 2024.
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Inter-reader agreement for LR-M imaging features: a premise for better imaging-based diagnosis in liver imaging.阅片者间对肝脏磁共振成像(LR-M)特征的一致性:肝脏成像中基于成像的更好诊断的前提。
J Liver Cancer. 2024 Sep;24(2):124-125. doi: 10.17998/jlc.2024.08.06. Epub 2024 Aug 13.
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MR radiomics to predict microvascular invasion status and biological process in combined hepatocellular carcinoma-cholangiocarcinoma.磁共振成像放射组学预测肝细胞癌-胆管癌合并症中的微血管侵犯状态及生物学过程
Insights Imaging. 2024 Jul 9;15(1):172. doi: 10.1186/s13244-024-01741-5.
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A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation.一种使用深度学习进行多器官分割的新型放射组学方法,用于预测肝细胞癌患者 TACE 治疗的疗效。
Sci Rep. 2024 Jun 26;14(1):14779. doi: 10.1038/s41598-024-65630-z.
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J Med Imaging (Bellingham). 2017 Oct;4(4):041303. doi: 10.1117/1.JMI.4.4.041303. Epub 2017 Aug 21.
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