Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy

被引:0
|
作者
Stylianos Drisis
Thierry Metens
Michael Ignatiadis
Konstantinos Stathopoulos
Shih-Li Chao
Marc Lemort
机构
[1] Institute Jules Bordet,Radiology Department
[2] Erasme University Hospital,Radiology Department
[3] Institute Jules Bordet,Oncology Department
来源
European Radiology | 2016年 / 26卷
关键词
Perfusion magnetic resonance imaging; Neoadjuvant therapy; Breast cancer; Oestrogen receptor; Triple negative breast cancer;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1474 / 1484
页数:10
相关论文
共 50 条
  • [1] Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy
    Drisis, Stylianos
    Metens, Thierry
    Ignatiadis, Michael
    Stathopoulos, Konstantinos
    Chao, Shih-Li
    Lemort, Marc
    [J]. EUROPEAN RADIOLOGY, 2016, 26 (05) : 1474 - 1484
  • [2] The accuracy of MRI in detecting pathological complete response following neoadjuvant chemotherapy in different breast cancer subtypes
    Kuzmova, Miroslava
    Cullinane, Carolyn
    Rutherford, Claire
    Mccartan, Damian
    Rothwell, Jane
    Evoy, Denis
    Geraghty, James
    Prichard, Ruth S.
    [J]. SURGICAL ONCOLOGY-OXFORD, 2023, 51
  • [3] Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study
    Thawani, Rajat
    Gao, Lina
    Mohinani, Ajay
    Tudorica, Alina
    Li, Xin
    Mitri, Zahi
    Huang, Wei
    [J]. BMC MEDICAL IMAGING, 2022, 22 (01)
  • [4] Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study
    Rajat Thawani
    Lina Gao
    Ajay Mohinani
    Alina Tudorica
    Xin Li
    Zahi Mitri
    Wei Huang
    [J]. BMC Medical Imaging, 22
  • [5] Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI
    Tudorica, Alina
    Oh, Karen Y.
    Chui, Stephen Y-C
    Roy, Nicole
    Troxell, Megan L.
    Naik, Arpana
    Kemmer, Kathleen A.
    Chen, Yiyi
    Holtorf, Megan L.
    Afzal, Aneela
    Springer, Charles S., Jr.
    Li, Xin
    Huang, Wei
    [J]. TRANSLATIONAL ONCOLOGY, 2016, 9 (01): : 8 - 17
  • [6] quantitative DCE-MRI to predict the response of primary breast cancer to neoadjuvant therapy
    Li, X.
    Arlinghaus, L. R.
    Chakravarthy, A. B.
    Abramson, R. G.
    Abramson, V. G.
    Farley, J.
    Ayers, G. D.
    Mayer, I. A.
    Kelley, M. C.
    Meszoely, I. M.
    Means-Powell, J.
    Grau, A. M.
    Sanders, M. E.
    Yankeelov, T. E.
    [J]. CANCER RESEARCH, 2012, 72
  • [7] DCE-MRI and dynamic FDG PET to monitor breast cancer response to neoadjuvant sunitinib in patients with locally-advanced breast cancer
    Specht, J. M.
    Partridge, S.
    Dunnwald, L.
    Doot, R.
    Schubert, E.
    Kurland, B.
    Gralow, L.
    Linden, H.
    Gadi, V. K.
    Ellis, G.
    Mankoff, D.
    [J]. CANCER RESEARCH, 2009, 69 (02) : 349S - 350S
  • [8] Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer
    Xinhong Liang
    Xiaofeng Chen
    Zhiqi Yang
    Yuting Liao
    Mengzhu Wang
    Yulin Li
    Weixiong Fan
    Zhuozhi Dai
    Yunuo Zhang
    [J]. BMC Cancer, 22
  • [9] Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer
    Liang, Xinhong
    Chen, Xiaofeng
    Yang, Zhiqi
    Liao, Yuting
    Wang, Mengzhu
    Li, Yulin
    Fan, Weixiong
    Dai, Zhuozhi
    Zhang, Yunuo
    [J]. BMC CANCER, 2022, 22 (01)
  • [10] Ultrafast DCE-MRI as a new tool for treatment response prediction in neoadjuvant chemotherapy of breast cancer
    Kataoka, Masako
    [J]. DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2023, 104 (12) : 565 - 566