Role of DCE-MR in predicting breast cancer subtypes

被引:0
|
作者
Marco Macchini
Martina Ponziani
Andrea Prochowski Iamurri
Mirco Pistelli
Mariagrazia De Lisa
Rossana Berardi
Gian Marco Giuseppetti
机构
[1] Università Politecnica delle Marche,Sc. Spec. Radiologia
[2] Università Politecnica delle Marche,DiSCO
[3] Università Politecnica delle Marche,Azienda Ospedaliero Universitaria Ospedali Riuniti Clinica di Oncologia
[4] Università Politecnica delle Marche,Azienda Ospedaliero Universitaria Ospedali Riuniti Clinica di Radiologia
[5] Ospedali Riuniti Azienda Ospedaliero Universitaria Ospedali Riuniti,Dipartimento Radiologia Clinica
来源
La radiologia medica | 2018年 / 123卷
关键词
Breast cancer; Breast MRI; Magnetic resonance imaging; Breast cancer subtypes;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:753 / 764
页数:11
相关论文
共 50 条
  • [21] Malignant spiculated breast masses: Dynamic contrast enhanced MR (DCE-MR) imaging enhancement characteristics and histopathological correlation
    Gokalp, Gokhan
    Topal, Ugur
    Yildirim, Nalan
    Tolunay, Sahsine
    EUROPEAN JOURNAL OF RADIOLOGY, 2012, 81 (02) : 203 - 208
  • [22] IVIM and DCE-MRI in Predicting Phenotypic Subtypes and Nottingham Prognostic Index of Breast Cancer
    Sun, Zhanguo
    Zhou, Zhe
    Wang, Lei
    Zhu, Laimin
    Chen, Yueqin
    Liu, Qiaolu
    JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN, 2024, 34 (04): : 400 - 406
  • [23] Radiomics Integration of Mammography and DCE-MRI for Predicting Molecular Subtypes in Breast Cancer Patients
    Yang, Xianwei
    Li, Jing
    Sun, Hang
    Chen, Jing
    Xie, Jin
    Peng, Yonghui
    Shang, Tao
    Pan, Tongyong
    BREAST CANCER-TARGETS AND THERAPY, 2025, 17 : 187 - 200
  • [24] Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys
    Kocanaogullari, Aziz
    Ariyurek, Cemre
    Afacan, Onur
    Kurugol, Sila
    IEEE ACCESS, 2022, 10 : 4102 - 4111
  • [25] Motion Corrected DCE-MR Image Reconstruction Using Deep Learning
    Aslam, Taquwa
    Najeeb, Faisal
    Shahzad, Hassan
    Arshad, Madiha
    Omer, Hammad
    APPLIED MAGNETIC RESONANCE, 2024, 55 (05) : 509 - 526
  • [26] Automated Analysis of Breast Tumour in the Breast DCE-MR Images Using Level Set Method and Selective Enhancement of Invasive Regions
    Teramoto, Atsushi
    Miyajo, Satomi
    Fujita, Hiroshi
    Yamamuro, Osamu
    Omi, Kumiko
    Nishio, Masami
    BREAST IMAGING, IWDM 2016, 2016, 9699 : 439 - 445
  • [27] Evaluation of stromal tumour-infiltrating lymphocytes (TILs) in breast cancer by Dynamic contrast - enhanced magnetic resonance (DCE-MR) imaging
    De Lisa, M.
    Pistelli, M.
    Giampieri, R.
    Macchini, M.
    Ponzani, M.
    Giuseppetti, G. M.
    Santinelli, A.
    Bastianelli, L.
    Ballatore, Z.
    Battelli, N.
    Berardi, R.
    ANNALS OF ONCOLOGY, 2017, 28 : 24 - +
  • [28] Motion Corrected DCE-MR Image Reconstruction Using Deep Learning
    Taquwa Aslam
    Faisal Najeeb
    Hassan Shahzad
    Madiha Arshad
    Hammad Omer
    Applied Magnetic Resonance, 2024, 55 : 509 - 526
  • [29] Association between Dynamic Features of Breast DCE-MR Imaging and Clinical Response of Neoadjuvant Chemotherapy: A Preliminary Analysis
    Huang, Lijuan
    Fan, Ming
    Li, Lihua
    Zhang, Juan
    Shao, Guoliang
    Zheng, Bin
    MEDICAL IMAGING 2016: PACS AND IMAGING INFORMATICS: NEXT GENERATION AND INNOVATIONS, 2016, 9789
  • [30] Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma
    Li, Hailin
    Huang, Weiyuan
    Wang, Siwen
    Balasubramanian, Priya S.
    Wu, Gang
    Fang, Mengjie
    Xie, Xuebin
    Zhang, Jie
    Dong, Di
    Tian, Jie
    Chen, Feng
    VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART, 2023, 6 (01)