Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk

被引:5
|
作者
Arefan, Dooman [1 ]
Zuley, Margarita L. [1 ,2 ]
Berg, Wendie A. [1 ,2 ]
Yang, Lu [1 ,3 ]
Sumkin, Jules H. [1 ,2 ]
Wu, Shandong [1 ,4 ,5 ,6 ]
机构
[1] Univ Pittsburgh, Sch Med, Dept Radiol, 3240 Craft Pl,Room 322, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Med Ctr, Magee Womens Hosp, Dept Radiol, Pittsburgh, PA 15213 USA
[3] Chongqing Univ, Canc Hosp, Chongqing Key Lab Translat Res Canc Metastasis & I, Chongqing, Peoples R China
[4] Univ Pittsburgh, Dept Biomed Informat, Pittsburgh, PA 15213 USA
[5] Univ Pittsburgh, Dept Bioengn, Pittsburgh, PA 15213 USA
[6] Univ Pittsburgh, Intelligent Syst Program, Pittsburgh, PA 15213 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
FIBROGLANDULAR TISSUE; GENE-EXPRESSION; CHEMOTHERAPY; ASSAY;
D O I
10.1148/radiol.230269
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: Background parenchymal enhancement (BPE) at dynamic contrast-enhanced (DCE) MRI of cancer-free breasts increases the risk of developing breast cancer; implications of quantitative BPE in ipsilateral breasts with breast cancer are largely unexplored. Purpose: To determine whether quantitative BPE measurements in one or both breasts could be used to predict recurrence risk in women with breast cancer, using the Oncotype DX recurrence score as the reference standard. Materials and Methods: This HIPAA-compliant retrospective single-institution study included women diagnosed with breast cancer between January 2007 and January 2012 (development set) and between January 2012 and January 2017 (internal test set). Quantitative BPE was automatically computed using an in-house-developed computer algorithm in both breasts. Univariable logistic regression was used to examine the association of BPE with Oncotype DX recurrence score binarized into high-risk (recurrence score >25) and low- or intermediate-risk (recurrence score <= 25) categories. Models including BPE measures were assessed for their ability to distinguish patients with high risk versus those with low or intermediate risk and the actual recurrence outcome. Results: The development set included 127 women (mean age, 58 years +/- 10.2 [SD]; 33 with high risk and 94 with low or intermediate risk) with an actual local or distant recurrence rate of 15.7% (20 of 127) at a minimum 10 years of follow-up. The test set included 60 women (mean age, 57.8 years +/- 11.6; 16 with high risk and 44 with low or intermediate risk). BPE measurements quantified in both breasts were associated with increased odds of a high-risk Oncotype DX recurrence score (odds ratio range, 1.27-1.66 [95% CI: 1.02, 2.56]; P < .001 to P = .04). Measures of BPE combined with tumor radiomics helped distinguish patients with a high-risk Oncotype DX recurrence score from those with a low- or intermediate-risk score, with an area under the receiver operating characteristic curve of 0.94 in the development set and 0.79 in the test set. For the combined models, the negative predictive values were 0.97 and 0.93 in predicting actual distant recurrence and local recurrence, respectively. Conclusion: Ipsilateral and contralateral DCE MRI measures of BPE quantified in patients with breast cancer can help distinguish patients with high recurrence risk from those with low or intermediate recurrence risk, similar to Oncotype DX recurrence score.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Can contrast-enhanced mammography replace dynamic contrast-enhanced MRI in the assessment of sonomammographic indeterminate breast lesions?
    Kamal, Rasha Mohamed
    Hanafy, Mennatallah Mohamed
    Mansour, Sahar Mahmoud
    Hassan, Maher
    Gomaa, Mohamed Mohamed
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2020, 51 (01):
  • [42] Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer
    Deling Song
    Fei Yang
    Yujiao Zhang
    Yazhe Guo
    Yingwu Qu
    Xiaochen Zhang
    Yuexiang Zhu
    Shujun Cui
    Cancer Imaging, 22
  • [43] Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer
    Song, Deling
    Yang, Fei
    Zhang, Yujiao
    Guo, Yazhe
    Qu, Yingwu
    Zhang, Xiaochen
    Zhu, Yuexiang
    Cui, Shujun
    CANCER IMAGING, 2022, 22 (01)
  • [44] Heterogeneity of enhancement kinetics in dynamic contrast-enhanced MRI and implication of distant metastasis in invasive breast cancer
    Zhao, R.
    Ma, W. J.
    Tang, J.
    Chen, Y. Z.
    Zhang, L. N.
    Lu, H.
    Liu, P. F.
    CLINICAL RADIOLOGY, 2020, 75 (12) : 961.e25 - 961.e32
  • [45] Breast Cancer Supplemental Screening: Contrast-Enhanced Mammography or Contrast-Enhanced MRI?
    Rashidi, Ali
    Lowry, Kathryn P.
    Sadigh, Gelareh
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2024, 21 (04)
  • [46] Contrast-enhanced MRI for breast cancer screening
    Mann, Ritse M.
    Kuhl, Christiane K.
    Moy, Linda
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 50 (02) : 377 - 390
  • [47] Implementing the advantages of contrast-enhanced mammography and contrast-enhanced breast MRI in breast cancer staging
    Fallenberg, Eva M.
    EUROPEAN RADIOLOGY, 2025, 35 (01) : 160 - 162
  • [48] Comparison of Dynamic Contrast-Enhanced MRI and Dynamic Contrast-Enhanced CT Biomarkers in Bladder Cancer
    Naish, J. H.
    McGrath, D. M.
    Bains, L. J.
    Passera, K.
    Roberts, C.
    Watson, Y.
    Cheung, S.
    Taylor, M. B.
    Logue, J. P.
    Buckley, D. L.
    Tessier, J.
    Young, H.
    Waterton, J. C.
    Parker, G. J. M.
    MAGNETIC RESONANCE IN MEDICINE, 2011, 66 (01) : 219 - 226
  • [49] Assessment of ameloblastomas using MRI and dynamic contrast-enhanced MRI
    Asaumi, J
    Hisatomi, M
    Yanagi, Y
    Matsuzaki, H
    Choi, YS
    Kawai, N
    Konouchi, H
    Kishi, K
    EUROPEAN JOURNAL OF RADIOLOGY, 2005, 56 (01) : 25 - 30
  • [50] Association between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-enhanced MR Imaging and Outcome of Patients with Unilateral Invasive Breast Cancer
    van der Velden, Bas H. M.
    Dmitriev, Ivan
    Loo, Claudette E.
    Pijnappel, Ruud M.
    Gilhuijs, Kenneth G. A.
    RADIOLOGY, 2015, 276 (03) : 675 - 685