Multiparametric MRI-based Longitudinal-radiomics Analysis for Early Prediction of Treatment Response of Breast Cancers to Neoadjuvant Chemotherapy: A Multicenter Study

被引：0
|
作者：
li, wei
huang, Yuhong
zhu, teng
wu, zhiyong
lin, ying
ye, guolin
Wang, Kun
机构：
来源：
CANCER RESEARCH | 2023年 / 83卷 / 05期
关键词：
D O I：
10.1158/1538-7445.SABCS22-P6-01-19
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
P6-01-19
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors
    Ma, Xiaowen
    Gong, Jing
    Hu, Feixiang
    Tang, Wei
    Gu, Yajia
    Peng, Weijun
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 57 (02) : 633 - 645
  • [22] Multiparametric MRI-based radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer
    Mohamed, Rania M.
    Panthi, Bikash
    Adrada, Beatriz E.
    Boge, Medine
    Candelaria, Rosalind P.
    Chen, Huiqin
    Guirguis, Mary S.
    Hunt, Kelly K.
    Huo, Lei
    Hwang, Ken-Pin
    Korkut, Anil
    Litton, Jennifer K.
    Moseley, Tanya W.
    Pashapoor, Sanaz
    Patel, Miral M.
    Reed, Brandy
    Scoggins, Marion E.
    Son, Jong Bum
    Thompson, Alastair
    Tripathy, Debu
    Valero, Vicente
    Wei, Peng
    White, Jason
    Whitman, Gary J.
    Xu, Zhan
    Yang, Wei
    Yam, Clinton
    Ma, Jingfei
    Rauch, Gaiane M.
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [23] Multiparametric MRI radiomics fusion for predicting the response and shrinkage pattern to neoadjuvant chemotherapy in breast cancer
    Fan, Ming
    Wu, Xilin
    Yu, Jiadong
    Liu, Yueyue
    Wang, Kailang
    Xue, Tailong
    Zeng, Tieyong
    Chen, Shujun
    Li, Lihua
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [24] Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study
    Huang, YuHong
    Zhu, Teng
    Zhang, XiaoLing
    Li, Wei
    Zheng, XingXing
    Cheng, MinYi
    Ji, Fei
    Zhang, LiuLu
    Yang, CiQiu
    Wu, ZhiYong
    Ye, GuoLin
    Lin, Ying
    Wang, Kun
    ECLINICALMEDICINE, 2023, 58
  • [25] Longitudinal MRI-based fusion novel model to predict pathological complete response in breast cancer treated with neoadjuvant chemotherapy: A multicenter, retrospective study
    Wang, Kun
    Huang, Yuhong
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [26] An MRI-based Scoring System for Preoperative Prediction of Axillary Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer: A Multicenter Retrospective Study
    Huang, Xiaomei
    Shi, Zhenwei
    Mai, Jinhai
    Liu, Chunling
    Liu, Chen
    Chen, Shuting
    Lu, Hong
    Li, Yanbo
    He, Bo
    Li, Jun
    Cun, Hanxue
    Han, Chu
    Chen, Xin
    Liang, Changhong
    Liu, Zaiyi
    ACADEMIC RADIOLOGY, 2023, 30 (07) : 1257 - 1269
  • [27] Pretreatment Sarcopenia and MRI-Based Radiomics to Predict the Response of Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
    Guo, Jiamin
    Meng, Wenjun
    Li, Qian
    Zheng, Yichen
    Yin, Hongkun
    Liu, Ying
    Zhao, Shuang
    Ma, Ji
    BIOENGINEERING-BASEL, 2024, 11 (07):
  • [28] Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer
    Cheng, Yuan
    Luo, Yahong
    Hu, Yue
    Zhang, Zhaohe
    Wang, Xingling
    Yu, Qing
    Liu, Guanyu
    Cui, Enuo
    Yu, Tao
    Jiang, Xiran
    ABDOMINAL RADIOLOGY, 2021, 46 (11) : 5072 - 5085
  • [29] Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer
    Yuan Cheng
    Yahong Luo
    Yue Hu
    Zhaohe Zhang
    Xingling Wang
    Qing Yu
    Guanyu Liu
    Enuo Cui
    Tao Yu
    Xiran Jiang
    Abdominal Radiology, 2021, 46 : 5072 - 5085
  • [30] Editorial for "Pretreatment Multiparametric MRI-Based Radiomics Analysis for the Diagnosis of Breast Phyllodes Tumors"
    Do, Quyen N.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 57 (02) : 646 - 647
12345