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多模态超声联合深度学习对乳腺癌新辅助化疗疗效及侵袭性评价的研究进展

刘锦辉 冷晓玲

刘锦辉, 冷晓玲. 多模态超声联合深度学习对乳腺癌新辅助化疗疗效及侵袭性评价的研究进展[J]. 分子影像学杂志, 2021, 44(6): 1034-1040. doi: 10.12122/j.issn.1674-4500.2021.06.30
引用本文: 刘锦辉, 冷晓玲. 多模态超声联合深度学习对乳腺癌新辅助化疗疗效及侵袭性评价的研究进展[J]. 分子影像学杂志, 2021, 44(6): 1034-1040. doi: 10.12122/j.issn.1674-4500.2021.06.30
LIU Jinhui, LENG Xiaoling. Research progress of multimodal ultrasound combined with deep learning in the evaluation of the efficacy of neoadjuvant chemotherapy and invasiveness for breast cancer[J]. Journal of Molecular Imaging, 2021, 44(6): 1034-1040. doi: 10.12122/j.issn.1674-4500.2021.06.30
Citation: LIU Jinhui, LENG Xiaoling. Research progress of multimodal ultrasound combined with deep learning in the evaluation of the efficacy of neoadjuvant chemotherapy and invasiveness for breast cancer[J]. Journal of Molecular Imaging, 2021, 44(6): 1034-1040. doi: 10.12122/j.issn.1674-4500.2021.06.30

多模态超声联合深度学习对乳腺癌新辅助化疗疗效及侵袭性评价的研究进展

doi: 10.12122/j.issn.1674-4500.2021.06.30
基金项目: 

新疆自治区科技支疆项目 2020E0269

详细信息
    作者简介:

    刘锦辉,硕士研究生,E-mail: 2265986495@qq.com

    通讯作者:

    冷晓玲,博土后,副主任医师,E-mail: 58281431@qq.com

Research progress of multimodal ultrasound combined with deep learning in the evaluation of the efficacy of neoadjuvant chemotherapy and invasiveness for breast cancer

  • 摘要: 近年来,医学影像诊断的迅速发展,越来越多的超声成像技术被应用于乳腺癌的诊疗中,新辅助化疗是乳腺癌患者的标准治疗方案,能有效降低肿瘤临床分期,提高患者的保乳率,从而改善患者的预后。目前,主要的超声诊断方式包括常规超声、超声造影、超声弹性成像、三维超声等,联合神经网络深度学习技术,可更高效、精确地实现对乳腺癌患者新辅助化疗后疗效及乳腺癌侵袭性的评价。本文就乳腺癌NAC疗效的评价方法及侵袭性的评价指标、多模态超声联合深度学习对乳腺癌新辅助化疗疗效评价、多模态超声联合深度学习等方面的研究进展进行综述。

     

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  • 收稿日期:  2021-10-02
  • 网络出版日期:  2022-01-05
  • 刊出日期:  2021-11-20

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    为了缩短出版时滞,促进科研成果的快速传播,我刊自2024年1月起,刊期由双月刊变更为月刊。本刊主要栏目有:基础研究、临床研究、技术方法、综述等。

    感谢各位专家、作者、读者长期以来对我刊的支持与厚爱!

    南方医科大学学报编辑部

    《分子影像学杂志》

    2023年12月27日