实用肿瘤学杂志 ›› 2025, Vol. 39 ›› Issue (2): 162-168.doi: 10.11904/j.issn.1002-3070.2025.02.013

• 综述 • 上一篇    

磁共振成像技术在预测乳腺癌淋巴血管侵犯中的应用研究进展

王铷 综述, 张红霞 审校   

  1. 哈尔滨医科大学附属肿瘤医院影像中心(哈尔滨 150081)
  • 收稿日期:2024-12-13 修回日期:2025-03-26 出版日期:2025-04-28 发布日期:2025-05-06
  • 通讯作者: 张红霞,E-mail:zhanghongxia2k@163.com
  • 作者简介:王铷,女,(2002—),本科,从事乳腺癌影像学方面的研究。

Research progress on the application of magnetic resonance imaging technology in predicting lymphatic vascular invasion in breast cancer

WANG Ru, ZHANG Hongxia   

  1. Department of Imaging,Harbin Medical University Cancer Hospital,Harbin 150081, China
  • Received:2024-12-13 Revised:2025-03-26 Online:2025-04-28 Published:2025-05-06

摘要: 淋巴血管侵犯(lymphatic vascular invasion,LVI)的准确预测及评估对乳腺癌患者的预后极为关键。术后的组织病理学在预测淋巴血管侵犯时存在一定的限制,而磁共振成像(magnetic resonance imaging,MRI)技术凭借其高分辨率和多参数成像的特点,为淋巴血管侵犯的预测和评估提供了更为有效的无创手段。随着放射组学这一研究领域的不断发展,通过深入分析MRI图像显示出的大量放射学特征,并结合患者的临床资料,研究者们构建了更为精确的淋巴血管侵犯预测模型。本文综述了MRI在乳腺癌淋巴血管侵犯预测领域的研究进展,目的是通过术前对淋巴血管侵犯状态的精准识别,为乳腺癌患者的临床治疗提供科学依据,并辅助临床医生制定更适合患者的个性化治疗计划。

关键词: 乳腺癌, 淋巴血管侵犯, 放射组学, 磁共振成像, 预测

Abstract: The accurate prediction and evaluation of lymphatic vascular invasion(LVI)are extremely important for the prognosis of breast cancer patients.Postoperative histopathology has certain limitations in predicting lymphatic vascular invasion,and magnetic resonance imaging(MRI)technology,with its high resolution and multi-parameter imaging characteristics,provides a more effective non-invasive means for the prediction and evaluation of lymphatic vascular invasion.With the continuous development of the research field of radiomics,researchers have constructed a more accurate prediction model of lymphatic vascular invasion by deeply analyzing a large number of radiological features shown in MRI images and combining with the clinical data of patients.This article reviews the recent research progress of MRI in the field of predicting lymphatic vascular invasion of breast cancer.The purpose of this article is to provide a scientific basis for the clinical treatment of breast cancer patients through accurate identification of lymphatic vascular invasion status before surgery,and to assist clinicians in formulating more personalized treatment plans for patients.

Key words: Breast cancer, Lymphatic vascular invasion, Radiomics, Magnetic resonance imaging, Prediction

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