Boyd NF, Guo H, Martin LJ et al (2007) Mammographic density and the risk and detection of breast cancer. N Engl J Med 356:227–236

Article  PubMed  CAS  Google Scholar 

McCormack VA, dos Santos SI (2006) Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev 15:1159–1169

Article  PubMed  Google Scholar 

Ghosh K, Brandt KR, Sellers TA et al (2008) Association of mammographic density with the pathology of subsequent breast cancer among postmenopausal women. Cancer Epidemiol Biomarkers Prev 17:872–879

Article  PubMed  PubMed Central  Google Scholar 

Cil T, Fishell E, Hanna W et al (2009) Mammographic density and the risk of breast cancer recurrence after breast-conserving surgery. Cancer 115:5780–5787

Article  PubMed  Google Scholar 

Eriksson L, Czene K, Rosenberg L, Humphreys K, Hall P (2013) Possible influence of mammographic density on local and locoregional recurrence of breast cancer. Breast Cancer Res 15:1–9

Article  Google Scholar 

Wei J, Chan H-P, Wu Y-T et al (2011) Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study. Radiology 260:42–49

Article  PubMed  PubMed Central  Google Scholar 

Morris E, Comstock C, Lee C, Lehman C, Ikeda D, Newstead G (2013) ACR BI-RADS® Magnetic Resonance Imaging. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston, VA, USA

Kim JY, Partridge SC (2024) Non-contrast breast MR imaging. Radiol Clin North Am 62:661–678

Article  PubMed  Google Scholar 

He Y, Zhou J, Liu X et al (2023) Evaluation of association between menstrual cycle timing and quantitative background parenchymal enhancement on breast MRI in premenopausal women. Clin Breast Cancer 23:e451–e457

Article  PubMed  Google Scholar 

Kim YS, La Yun B, Chu AJ et al (2024) Background breast parenchymal signal during menstrual cycle on diffusion-weighted MRI: a prospective study in healthy premenopausal women. Korean J Radiol 25:511–517

Article  PubMed  PubMed Central  Google Scholar 

Kim JJ, Kim JY (2021) Fusion of high b-value diffusion-weighted and unenhanced T1-weighted images to diagnose invasive breast cancer: factors associated with false-negative results. Eur Radiol 31:4860–4871

Article  PubMed  Google Scholar 

DeMartini WB, Liu F, Peacock S, Eby PR, Gutierrez RL, Lehman CD (2012) Background parenchymal enhancement on breast MRI: impact on diagnostic performance. AJR Am J of Roentgenol 198:W373–W380

Article  Google Scholar 

Ray KM, Kerlikowske K, Lobach IV et al (2018) Effect of background parenchymal enhancement on breast MR imaging interpretive performance in community-based practices. Radiology 286:822–829

Article  PubMed  Google Scholar 

Thompson CM, Mallawaarachchi I, Dwivedi DK et al (2019) The association of background parenchymal enhancement at breast MRI with breast cancer: a systematic review and meta-analysis. Radiology 292:552–561

Article  PubMed  Google Scholar 

King V, Brooks JD, Bernstein JL, Reiner AS, Pike MC, Morris EA (2011) Background parenchymal enhancement at breast MR imaging and breast cancer risk. Radiology 260:50–60

Article  PubMed  Google Scholar 

Arasu VA, Miglioretti DL, Sprague BL et al (2019) Population-based assessment of the association between magnetic resonance imaging background parenchymal enhancement and future primary breast cancer risk. J Clin Oncol 37:954–963

Article  PubMed  PubMed Central  Google Scholar 

Onishi N, Li W, Newitt DC et al (2021) Breast MRI during neoadjuvant chemotherapy: lack of background parenchymal enhancement suppression and inferior treatment response. Radiology 301:295–308

Article  PubMed  Google Scholar 

Preibsch H, Wanner L, Bahrs S et al (2016) Background parenchymal enhancement in breast MRI before and after neoadjuvant chemotherapy: correlation with tumour response. Eur Radiol 26:1590–1596

Article  PubMed  CAS  Google Scholar 

Van Der Velden BH, Dmitriev I, Loo CE, Pijnappel RM, Gilhuijs KG (2015) Association between parenchymal enhancement of the contralateral breast in dynamic contrast-enhanced MR imaging and outcome of patients with unilateral invasive breast cancer. Radiology 276:675–685

Article  PubMed  Google Scholar 

Lim Y, Ko ES, Han B-K et al (2017) Background parenchymal enhancement on breast MRI: association with recurrence-free survival in patients with newly diagnosed invasive breast cancer. Breast Cancer Res Ttreat 163:573–586

Article  Google Scholar 

Choi JS, Ko ES, Ko EY, Han B-K, Nam SJ (2016) Background parenchymal enhancement on preoperative magnetic resonance imaging: association with recurrence-free survival in breast cancer patients treated with neoadjuvant chemotherapy. Medicine (Baltimore) 95:e3000

Article  PubMed  CAS  Google Scholar 

Shin GW, Zhang Y, Kim MJ et al (2018) Role of dynamic contrast-enhanced MRI in evaluating the association between contralateral parenchymal enhancement and survival outcome in ER-positive, HER2-negative, node-negative invasive breast cancer. J Magn Reson Imaging 48:1678–1689

Article  PubMed  PubMed Central  Google Scholar 

Ragusi MA, van der Velden BH, Meeuwis C et al (2023) Long-term survival in breast cancer patients is associated with contralateral parenchymal enhancement at MRI: outcomes of the select study. Radiology 307:e221922

Article  PubMed  Google Scholar 

Allred D, Harvey JM, Berardo M, Clark GM (1998) Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol 11:155–168

PubMed  CAS  Google Scholar 

de Ronde JJ, Hannemann J, Halfwerk H et al (2010) Concordance of clinical and molecular breast cancer subtyping in the context of preoperative chemotherapy response. Breast Cancer Res Treat 119:119–126

Article  PubMed  Google Scholar 

Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174

Article  PubMed  CAS  Google Scholar 

Sung JS, Corben AD, Brooks JD et al (2018) Histopathologic characteristics of background parenchymal enhancement (BPE) on breast MRI. Breast Cancer Res Treat 172:487–496

Article  PubMed  PubMed Central  Google Scholar 

Hahn SY, Ko ES, Han B-K, Lim Y, Gu S, Ko EY (2016) Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer. Medicine (Baltimore) 95:e4086

Article  PubMed  Google Scholar 

King V, Kaplan J, Pike MC et al (2012) Impact of tamoxifen on amount of fibroglandular tissue, background parenchymal enhancement, and cysts on breast magnetic resonance imaging. Breast J 18:527–534

Article  PubMed  CAS  Google Scholar 

Müller-Schimpfle M, Ohmenhaüser K, Stoll P, Dietz K, Claussen CD (1997) Menstrual cycle and age: influence on parenchymal contrast medium enhancement in MR imaging of the breast. Radiology 203:145–149

Article  PubMed  Google Scholar 

Hoda SA, Rosen PP, Brogi E, Koerner FC (2020) Rosen’s breast pathology. Lippincott Williams & Wilkins

Google Scholar 

Shin HJ, Moon WK, Amornsiripanitch N, Partridge SC (2022) Diffusion MRI as a Stand-Alone Unenhanced Approach for Breast Imaging and Screening. In: Iima M, Partridge S, Bihan DL (eds) Diffusion MRI of the Breast. Elsevier, Philadelphia, pp 86–107

Google Scholar 

Kuhl CK, Bieling HB, Gieseke J et al (1997) Healthy premenopausal breast parenchyma in dynamic contrast-enhanced MR imaging of the breast: normal contrast medium enhancement and cyclical-phase dependency. Radiology 203:137–144

Article  PubMed  CAS  Google Scholar 

Mann RM, Balleyguier C, Baltzer PA et al (2015) Breast MRI: EUSOBI recommendations for women’s information. Eur Radiol 25:3669–3678

Article  PubMed  PubMed Central  Google Scholar 

Partridge SC, McKinnon GC, Henry RG, Hylton NM (2001) Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI. J Magn Reson Imaging 14:433–438

Article  PubMed  CAS  Google Scholar 

Kim JY, Suh HB, Kang HJ et al (2016) Apparent diffusion coefficient of breast cancer and normal fibroglandular tissue in diffusion-weighted imaging: the effects of menstrual cycle and menopausal status. Breast Cancer Res Treat 157:31–40

Article