Standardization of Quantitative DCE-MRI Parameters Measurement: An Urgent Need for Breast Cancer Imaging

被引：3
|
作者：
Romeo, Valeria [1 ]
机构：
[1] Univ Naples Federico II, Dept Adv Biomed Sci, Via S Pansini 5, I-80138 Naples, Italy
来源：
ACADEMIC RADIOLOGY | 2022年 / 29卷
关键词：
CONTRAST-ENHANCED MRI; EARLY PREDICTION; CHEMOTHERAPY;
D O I：
10.1016/j.acra.2021.12.002
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：S87 / S88
页数：2
相关论文
共 50 条
  • [41] Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters?
    Rebecca A. P. Dijkhoff
    Monique Maas
    Milou H. Martens
    Nikolaos Papanikolaou
    Doenja M. J. Lambregts
    Geerard L. Beets
    Regina G. H. Beets-Tan
    Abdominal Radiology, 2017, 42 : 1342 - 1349
  • [42] Correlation between quantitative and semiquantitative parameters in DCE-MRI with a blood pool agent in rectal cancer: can semiquantitative parameters be used as a surrogate for quantitative parameters?
    Dijkhoff, Rebecca A. P.
    Maas, Monique
    Martens, Milou H.
    Papanikolaou, Nikolaos
    Lambregts, Doenja M. J.
    Beets, Geerard L.
    Beets-Tan, Regina G. H.
    ABDOMINAL RADIOLOGY, 2017, 42 (05) : 1342 - 1349
  • [43] Quantitative DCE-MRI in head and neck cancer: a comparison of different modelling approaches
    Hoiskar, Marte Kastad
    Saether, Oddbjorn
    Alsaker, Mirjam D.
    Redalen, Kathrine R.
    Winter, Rene M.
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S5129 - S5131
  • [44] Portable perfusion phantom for quantitative DCE-MRI of the abdomen
    Kim, Harrison
    Mousa, Mina
    Schexnailder, Patrick
    Hergenrother, Robert
    Bolding, Mark
    Ntsikoussalabongui, Bernard
    Thomas, Vinoy
    Morgan, Desiree E.
    MEDICAL PHYSICS, 2017, 44 (10) : 5198 - 5209
  • [45] Quantitative assessment of early-and delayed DCE-MRI background parenchymal enhancement in breast cancer risk prediction
    Wu, Shandong
    Berg, Wendie A.
    Zuley, Margarita L.
    Kurland, Brenda F.
    Jankowitz, Rachel C.
    Sumkin, Jules
    Nishikawa, Robert M.
    Gur, David
    CANCER RESEARCH, 2015, 75
  • [46] Kinetic heterogeneity features on breast DCE-MRI as prognostic markers of breast cancer recurrence
    Mahrooghy, M.
    Ashraf, A. B.
    Gavenonis, S. C.
    Daye, D.
    Mies, C.
    Feldman, M.
    Rosen, M.
    Kontos, D.
    CANCER RESEARCH, 2013, 73
  • [47] Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results
    Yankeelov, Thomas E.
    Lepage, Martin
    Chakravarthy, Anuradha
    Broome, Elizabeth E.
    Niermann, Kenneth J.
    Kelley, Mark C.
    Meszoely, Ingrid
    Mayer, Ingrid A.
    Herman, Cheryl R.
    McManus, Kevin
    Price, Ronald R.
    Gore, John C.
    MAGNETIC RESONANCE IMAGING, 2007, 25 (01) : 1 - 13
  • [48] Quantitative Analysis of Breast Cancer NACT Response on DCE-MRI Using Gabor Filter Derived Radiomic Features
    Moyya, Priscilla Dinkar
    Asaithambi, Mythili
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2022, 18 (12) : 106 - 122
  • [49] Visualization of quantitative breast DCE-MRI functional parametric maps by dedicated image processing
    Bracco, C.
    Martincich, L.
    Regge, D.
    Becchio, M.
    Persano, D.
    Bert, A.
    Rizzo, G.
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 55 - +
  • [50] Molecular subtypes classification of breast cancer in DCE-MRI using deep features
    Hasan, Ali M.
    Al-Waely, Noor K. N.
    Aljobouri, Hadeel K.
    Jalab, Hamid A.
    Ibrahim, Rabha W.
    Meziane, Farid
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 236
12345