Standardization of Breast Dynamic Contrast-enhanced MRI Signal with Application to the Assessment of Background Parenchymal Enhancement Rate

被引:0
|
作者
Medved, Milica [1 ]
Tsuchiya, Keiko [2 ]
Fan, Xiaobing [1 ]
Karczmar, Gregory S. [1 ]
Abe, Hiroyuki [1 ]
机构
[1] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
[2] Shiga Univ Med Sci, Shiga, Japan
基金
美国国家卫生研究院;
关键词
Quantitative MRI; Dynamic contrast-enhanced MRI (DCE-MRI); Background parenchymal enhancement (BPE); MRI signal standardization; Breast cancer preventative therapy; Risk assessment; FIBROGLANDULAR TISSUE; MAMMOGRAPHIC DENSITY; TAMOXIFEN; IMAGES; RISK;
D O I
10.2174/1573405619666230306105820
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
Background: There is currently no clinically accepted method for quantifying background parenchymal enhancement (BPE), though a sensitive method might allow individualized risk management based on the response to cancer-preventative hormonal therapy. Objective: The objective of this pilot study is to demonstrate the utility of linear modeling of standardized dynamic contrast-enhanced MRI (DCEMRI) signal for quantifying changes in BPE rates. Methods: On a retrospective database search, 14 women with DCEMRI examinations pre- and post-treatment with tamoxifen were identified. DCEMRI signal was averaged over the parenchymal ROIs to obtain time-dependent signal curves S(t). The gradient echo signal equation was used to standardize scale S(t) to values of FA = 10 degrees and TR = 5.5 ms, and obtain the standardized DCE-MRI signal S-p(t). Relative signal enhancement was calculated from S-p, and the reference tissue method for T1 calculation was used to standardize to gadodiamide as the contrast agent, obtaining . in the first 6 minutes post-contrast administration was fit to a linear model with the slope alpha denoting the standardized rate relative BPE. Results: Changes in alpha were not found to be significantly correlated with the average duration of tamoxifen treatment, age at the initiation of preventative treatment, or pre-treatment BIRADS breast density category. The average change in alpha showed a large effect size of -1.12, significantly higher than -0.86 observed without signal standardization (p < 0.01). Conclusion: Linear modeling of BPE in standardized DCEMRI can provide quantitative measurements of BPE rates, improving sensitivity to changes due to tamoxifen treatment.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Background parenchymal enhancement on contrast-enhanced spectral mammography does not represent an influencing factor for breast cancer A preliminary study
    Yu, Liangliang
    Wang, Yongtao
    Xing, Dong
    Gong, Peiyou
    Chen, Qianqian
    Lv, Yongbin
    MEDICINE, 2020, 99 (52)
  • [42] Influence of Breast Density and Menopausal Status on Background Parenchymal Enhancement in Contrast-Enhanced Mammography: Insights from a Retrospective Analysis
    Nicosia, Luca
    Mariano, Luciano
    Mallardi, Carmen
    Sorce, Adriana
    Frassoni, Samuele
    Bagnardi, Vincenzo
    Gialain, Cristian
    Pesapane, Filippo
    Sangalli, Claudia
    Cassano, Enrico
    CANCERS, 2025, 17 (01)
  • [43] Dynamic Contrast-Enhanced MRI of the Breast: Quantitative Method for Kinetic Curve Type Assessment
    El Khouli, Riham H.
    Macura, Katarzyna J.
    Jacobs, Michael A.
    Khalil, Tarek H.
    Kamel, Ihab R.
    Dwyer, Andrew
    Bluemke, David A.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2009, 193 (04) : W295 - W300
  • [44] Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis
    Karahaliou, A.
    Vassiou, K.
    Arikidis, N. S.
    Skiadopoulos, S.
    Kanavou, T.
    Costaridou, L.
    BRITISH JOURNAL OF RADIOLOGY, 2010, 83 (988): : 296 - 306
  • [45] Comparison between qualitative and quantitative assessment of background parenchymal enhancement on breast MRI
    Pujara, Akshat C.
    Mikheev, Artem
    Rusinek, Henry
    Gao, Yiming
    Chhor, Chloe
    Pysarenko, Kristine
    Rallapalli, Harikrishna
    Walczyk, Jerzy
    Moccaldi, Melanie
    Babb, James S.
    Melsaether, Amy N.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 47 (06) : 1685 - 1691
  • [46] Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used?
    Kataoka, Masako
    Honda, Maya
    Ohashi, Akane
    Yamaguchi, Ken
    Mori, Naoko
    Goto, Mariko
    Fujioka, Tomoyuki
    Mori, Mio
    Kato, Yutaka
    Satake, Hiroko
    Iima, Mami
    Kubota, Kazunori
    MAGNETIC RESONANCE IN MEDICAL SCIENCES, 2022, 21 (01) : 83 - 94
  • [47] Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer
    Turnbull, Lindsay W.
    NMR IN BIOMEDICINE, 2009, 22 (01) : 28 - 39
  • [48] Correlation of background parenchymal enhancement on breast MRI with breast cancer
    Sallam, H.
    Lenga, L.
    Solbach, C.
    Becker, S.
    Vogl, T. J.
    CLINICAL RADIOLOGY, 2023, 78 (09) : e654 - e659
  • [49] Detecting Invasive Breast Carcinoma on Dynamic Contrast-Enhanced MRI
    Moroianu, Stefania L.
    Rusu, Mirabela
    MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS, 2021, 11597
  • [50] Quantitative evaluation of Kaiser score in diagnosing breast dynamic contrast-enhanced magnetic resonance imaging for patients with high-grade background parenchymal enhancement
    Wang, Hui
    Gao, Ling
    Chen, Xu
    Wang, Shou-Ju
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (10) : 6384 - 6394