ACRIN 6698 trial Quantitative diffusion-weighted MRI to predict pathologic response in neoadjuvant chemotherapy treatment of breast cancer.

被引：1
|
作者：
Partridge, Savannah C.
Zhang, Zheng
Newitt, David C.
Gibbs, Jessica E.
Chenevert, Thomas L.
Rosen, Mark Alan
Bolan, Patrick J.
Marques, Helga
Esserman, Laura
Hylton, Nola M.
机构：
来源：
JOURNAL OF CLINICAL ONCOLOGY | 2017年 / 35卷
关键词：
D O I：
10.1200/JCO.2017.35.15_suppl.11520
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
11520
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Time-Dependent Diffusion MRI Helps Predict Molecular Subtypes and Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer
    Wang, Xiaoxia
    Ba, Ruicheng
    Huang, Yao
    Cao, Ying
    Chen, Huifang
    Xu, Hanshan
    Shen, Hesong
    Liu, Daihong
    Huang, Haiping
    Yin, Ting
    Wu, Dan
    Zhang, Jiuquan
    RADIOLOGY, 2024, 313 (01)
  • [42] Diffusion-Weighted and Dynamic Contrast-Enhanced MRI in Evaluation of Early Treatment Effects During Neoadjuvant Chemotherapy in Breast Cancer Patients
    Jensen, Line R.
    Garzon, Benjamin
    Heldahl, Mariann G.
    Bathen, Tone F.
    Lundgren, Steinar
    Gribbestad, Ingrid S.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2011, 34 (05) : 1099 - 1109
  • [43] Can MRI predict the response to neoadjuvant chemotherapy in breast cancer accurately?
    Fatayer, H.
    Kim, B.
    Daii, B.
    Sharma, N.
    Manuel, D.
    Shabaan, A.
    Perren, T.
    Velikova, G.
    Horgan, K.
    Lansdown, M.
    CANCER RESEARCH, 2012, 72
  • [44] Diffusion-weighted imaging in monitoring the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis
    Wen Gao
    Ning Guo
    Ting Dong
    World Journal of Surgical Oncology, 16
  • [45] Diffusion-weighted imaging in monitoring the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis
    Gao, Wen
    Guo, Ning
    Dong, Ting
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2018, 16
  • [46] Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Dynamic Contrast-enhanced and Diffusion-weighted MRI
    Zhao, Rui
    Lu, Hong
    Li, Yan-Bo
    Shao, Zhen-Zhen
    Ma, Wen-Juan
    Liu, Pei-Fang
    ACADEMIC RADIOLOGY, 2022, 29 : S155 - S163
  • [47] Diffusion-weighted magnetic resonance imaging for the prediction of pathologic response to neoadjuvant chemoradiotherapy in esophageal cancer
    van Rossum, Peter S. N.
    van Lier, Astrid L. H. M. W.
    van Vulpen, Marco
    Reerink, Onne
    Lagendijk, Jan J. W.
    Lin, Steven H.
    van Hillegersberg, Richard
    Ruurda, Jelle P.
    Meijer, Gert J.
    Lips, Irene M.
    RADIOTHERAPY AND ONCOLOGY, 2015, 115 (02) : 163 - 170
  • [48] Early prediction of neoadjuvant therapy response in breast cancer using MRI-based neural networks: data from the ACRIN 6698 trial and a prospective Chinese cohort
    Du, Siyao
    Xie, Wanfang
    Gao, Si
    Zhao, Ruimeng
    Wang, Huidong
    Tian, Jie
    Liu, Jiangang
    Liu, Zhenyu
    Zhang, Lina
    BREAST CANCER RESEARCH, 2025, 27 (01)
  • [49] CAN MRI PREDICT PATHOLOGIC RESPONSE OF RECTAL CANCER AFTER NEOADJUVANT TREATMENT?
    Nahas, C.
    Nahas, S.
    Ortega, C.
    Azambuja, R.
    Joaquim, H.
    Marques, C.
    Ribeiro, U.
    Bustamante, L. L.
    Hoff, L. P.
    Cecconello, I.
    DISEASES OF THE COLON & RECTUM, 2014, 57 (05) : E147 - E148
  • [50] Changes in apparent diffusion coefficient evaluated with diffusion-weighted MRI to predict complete pathologic response after neoadjuvant therapy for rectal cancer: Literature review and meta-analysis.
    Desiato, Vincenzo
    Rosman, Alan S.
    Newman, Elliot
    Berman, Russell S.
    Pachter, H. Leon
    Melis, Marcovalerio
    JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (04)
12345