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
下载
收藏
页数:7
相关论文
共 50 条
  • [1] Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk
    Arefan, Dooman
    Zuley, Margarita L.
    Berg, Wendie A.
    Yang, Lu
    Sumkin, Jules H.
    Wu, Shandong
    RADIOLOGY, 2024, 310 (01)
  • [2] Ultrafast Dynamic Contrast-Enhanced Breast MRI: Lesion Conspicuity and Size Assessment according to Background Parenchymal Enhancement
    Kim, Soo-Yeon
    Cho, Nariya
    Choi, Yunhee
    Shin, Sung Ui
    Kim, Eun Sil
    Lee, Su Hyun
    Chang, Jung Min
    Moon, Woo Kyung
    KOREAN JOURNAL OF RADIOLOGY, 2020, 21 (05) : 561 - 571
  • [3] The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRI
    Hellgren, Roxanna
    Saracco, Ariel
    Strand, Fredrik
    Eriksson, Mikael
    Sundbom, Ann
    Hall, Per
    Dickman, Paul W.
    ACTA RADIOLOGICA, 2020, 61 (12) : 1600 - 1607
  • [4] Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI
    Honda, Maya
    Kataoka, Masako
    Iima, Mami
    Miyake, Kanae Kawai
    Ohashi, Akane
    Kishimoto, Ayami Ohno
    Ota, Rie
    Nickel, Marcel Dominik
    Toi, Masakazu
    Togashi, Kaori
    EUROPEAN JOURNAL OF RADIOLOGY, 2020, 129
  • [5] Impact of background parenchymal enhancement levels on the diagnosis of contrast-enhanced digital mammography in evaluations of breast cancer: comparison with contrast-enhanced breast MRI
    Yuen, Sachiko
    Monzawa, Shuichi
    Gose, Ayako
    Yanai, Seiji
    Yata, Yoshihiro
    Matsumoto, Hajime
    Ichinose, You
    Tashiro, Takashi
    Yamagami, Kazuhiko
    BREAST CANCER, 2022, 29 (04) : 677 - 687
  • [6] Impact of background parenchymal enhancement levels on the diagnosis of contrast-enhanced digital mammography in evaluations of breast cancer: comparison with contrast-enhanced breast MRI
    Sachiko Yuen
    Shuichi Monzawa
    Ayako Gose
    Seiji Yanai
    Yoshihiro Yata
    Hajime Matsumoto
    You Ichinose
    Takashi Tashiro
    Kazuhiko Yamagami
    Breast Cancer, 2022, 29 : 677 - 687
  • [7] Evaluation of background parenchymal enhancement in breast contrast-enhanced ultrasound with Sonazoid®
    Masayo Haga
    Toshiko Hirai
    Tokiko Nakai
    Toyoki Kobayashi
    Takashi Nakamura
    Aki Marugami
    Takahiro Ito
    Megumi Takewa
    Nagaaki Marugami
    Kimihiko Kichikawa
    Journal of Medical Ultrasonics, 2020, 47 : 591 - 601
  • [8] Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal
    Douglas L.
    Fuhrman J.
    Hu Q.
    Edwards A.
    Sheth D.
    Abe H.
    Giger M.
    Journal of Medical Imaging, 2024, 11 (03)
  • [9] Marked background parenchymal enhancement in contrast-enhanced mammography
    Movassaghi, Roshanack
    Mascarel, Anne-Margaux
    Neveu, Marine
    Vilcot, Laurence
    Geffroy, Delphine
    Doutriaux-Dumoulin, Isabelle
    IMAGERIE DE LA FEMME, 2023, 33 (03) : 168 - 173
  • [10] Evaluation of background parenchymal enhancement in breast contrast-enhanced ultrasound with Sonazoid(R)
    Haga, Masayo
    Hirai, Toshiko
    Nakai, Tokiko
    Kobayashi, Toyoki
    Nakamura, Takashi
    Marugami, Aki
    Ito, Takahiro
    Takewa, Megumi
    Marugami, Nagaaki
    Kichikawa, Kimihiko
    JOURNAL OF MEDICAL ULTRASONICS, 2020, 47 (04) : 591 - 601