The role of multiparametric MRI in predicting lymphovascular invasion in breast cancer patients

被引:0
|
作者
Wang, Jinhua [1 ,2 ]
Jing, Siqing [1 ,2 ]
Yang, Zhongxian [1 ,2 ]
Tan, Wanchang [3 ]
Liu, Yubao [1 ,2 ]
机构
[1] Southern Med Univ, Shenzhen Hosp, Med Image Ctr, Shenzhen, Peoples R China
[2] Southern Med Univ, Clin Med 3, Shenzhen, Peoples R China
[3] South China Univ Technol, Affiliated Hosp 6, Sch Med, Dept Radiol, Foshan, Peoples R China
关键词
contrast enhancement; diagnosis; diffusion coefficient; oncological prognosis; prognostic assessment; tumor; LYMPH-NODE METASTASIS;
D O I
10.1080/14796694.2024.2396273
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: This study aims to investigate the efficacy of multifactorial MRI in diagnosing breast cancer, specifically in the context of predicting lymphovascular invasion (LVI). Materials & methods: The patients were stratified into two groups: the primary group (100 patients) and the validation group (100 patients), based on essential characteristics. Multifactorial MRI, encompassing tumor size evaluation, diffusion coefficient assessment and dynamic contrast enhancement, was employed for patient examination. Results: Statistically significant differences were observed in tumor size, diffusion coefficient and dynamic contrast enhancement between groups with LVI (LVI+) and those without (LVI-). Key parameters were identified for predicting the degree of invasion. Conclusion: The results affirm the effectiveness of multifactorial MRI in forecasting LVI.
引用
收藏
页码:2747 / 2756
页数:10
相关论文
共 50 条
  • [41] Significance of Extensive Lymphovascular Space Invasion in Breast Cancer
    Rakhra, S.
    Gutiontov, S.
    Dalal, P.
    Bell, J. B.
    Butala, A.
    Donnelly, E. D.
    Hayes, J. P.
    Gius, D. R.
    Helenoswki, I.
    Strauss, J. B.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2016, 96 (02): : E43 - E43
  • [42] Hormone use is associated with lymphovascular invasion in breast cancer
    Loof-Johanson, M.
    Brudin, L.
    Rudebeck, C. E.
    Sundquist, M.
    BREAST, 2017, 32 : S46 - S47
  • [43] Chromosomal aberrations associated with lymphovascular invasion in breast cancer
    Sundquist, M.
    Brudin, L.
    Johansson, S.
    Stal, O.
    EUROPEAN JOURNAL OF CANCER, 2015, 51 : S300 - S300
  • [44] Lymph node status combined with lymphovascular invasion creates a more powerful tool for predicting outcome in patients with invasive breast cancer
    Woo, CS
    Silberman, H
    Nakamura, SK
    Ye, W
    Sposto, R
    Colburn, W
    Waisman, JR
    Silverstein, MJ
    AMERICAN JOURNAL OF SURGERY, 2002, 184 (04): : 337 - 340
  • [45] Multiphases DCE-MRI Radiomics Nomogram for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer
    Ma, Qinqin
    Lu, Xingru
    Chen, Qitian
    Gong, Hengxin
    Lei, Junqiang
    ACADEMIC RADIOLOGY, 2024, 31 (12) : 4743 - 4758
  • [46] Prognostic significance of lymphovascular invasion diagnosed by lymphatic endothelium immunostaining in breast cancer patients
    Tezuka, Kenji
    Onoda, Naoyoshi
    Takashima, Tsutomu
    Takagaki, Keiichi
    Ishikawa, Tetsuro
    Wakasa, Tomoko
    Wakasa, Kenichi
    Hirakawa, Kosei
    ONCOLOGY REPORTS, 2007, 17 (05) : 997 - 1003
  • [47] Distribution characteristics of immune infiltration and lymphovascular invasion in patients with breast cancer skin recurrence
    Zhou, Danyang
    Li, Mei
    Wu, Wei
    Wu, Ying
    Nong, Qiaohong
    Wang, Shusen
    Hong, Ruoxi
    CANCER IMMUNOLOGY IMMUNOTHERAPY, 2024, 73 (11)
  • [48] Optimisation of the Estimation of Lymphovascular Invasion in Primary Breast Cancer Patients: Single or Multiple Blocks?
    Mukherjee, A.
    Craze, M.
    Soe, W. Nyan
    Loona, A.
    Rakha, E.
    Ellis, I. O.
    JOURNAL OF PATHOLOGY, 2013, 231 : 19 - 19
  • [49] Predictors of lymphovascular invasion identified from pathological factors in Chinese patients with breast cancer
    Shen, Sandi
    Xiao, Gaofang
    Du, Richang
    Hu, Ningdong
    Xia, Xu
    Zhou, Haibo
    ONCOTARGET, 2018, 9 (02) : 2468 - 2474
  • [50] An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer
    Ma, Nan-Nan
    Wang, Tao
    Lv, Ya-Nan
    Li, Shao-Dong
    FRONTIERS IN ONCOLOGY, 2024, 14