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影像组学在非肿瘤病变方面的应用进展

王丽珊 张瑞明

王丽珊, 张瑞明. 影像组学在非肿瘤病变方面的应用进展[J]. 分子影像学杂志, 2020, 43(3): 462-465. doi: 10.12122/j.issn.1674-4500.2020.03.19
引用本文: 王丽珊, 张瑞明. 影像组学在非肿瘤病变方面的应用进展[J]. 分子影像学杂志, 2020, 43(3): 462-465. doi: 10.12122/j.issn.1674-4500.2020.03.19
Lishan WANG, Ruiming ZHANG. Advances of radiomics in non-neoplastic disease[J]. Journal of Molecular Imaging, 2020, 43(3): 462-465. doi: 10.12122/j.issn.1674-4500.2020.03.19
Citation: Lishan WANG, Ruiming ZHANG. Advances of radiomics in non-neoplastic disease[J]. Journal of Molecular Imaging, 2020, 43(3): 462-465. doi: 10.12122/j.issn.1674-4500.2020.03.19

影像组学在非肿瘤病变方面的应用进展

doi: 10.12122/j.issn.1674-4500.2020.03.19
详细信息
    作者简介:

    王丽珊, 硕士, 初级, E-mail: yuchuanchisu@sina.com

Advances of radiomics in non-neoplastic disease

  • 摘要: 影像组学自兴起以来在肿瘤学诊断、鉴别及预后方面取得了不少研究成果。在肿瘤学方面不断发展的同时,在临床非肿瘤性病变诊断方面影像组学也发挥其高通量、大数据方面的优势,取得了可喜的进步。相关报道围绕脑体积精确测量,注意缺陷多动障碍、精神分裂症、肥厚性心肌病及高血压性心脏病鉴别、急性冠脉综合征和粥样斑块特点以及肝硬化等疾病的诊断。研究结果显示,相对以往常规的影像方法,影像组学显示出更加精准的诊断优势。尽管相关研究方式不尽相同,多项研究结果显示ICC及AUC值可达0.9左右甚至接近1。现将上述研究详细综述如下。

     

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    [22] Kolossváry M, Park J, Bang JI, et al. Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography[J]. Eur Heart J Cardiovasc Imaging, 2019, 20(11): 1250-8. doi: 10.1093/ehjci/jez033
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    [24] Wang K, Lu X, Zhou H, et al. Deep learning radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study[J]. Gut, 2019, 68(4): 729-41. doi: 10.1136/gutjnl-2018-316204
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出版历程
  • 收稿日期:  2020-05-27
  • 刊出日期:  2020-07-20

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