Background parenchymal enhancement on breast MRI: A comprehensive review
Geraldine J. Liao MD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Department of Radiology, Virginia Mason Medical Center, Seattle, Washington, USA
Search for more papers by this authorLeah C. Henze Bancroft PhD
Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
Search for more papers by this authorRoberta M. Strigel MD, MS
Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
Carbone Cancer Center, University of Wisconsin, Madison, Wisconsin, USA
Search for more papers by this authorRhea D. Chitalia BSE
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorDespina Kontos PhD
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorLinda Moy MD
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorSavannah C. Partridge PhD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Search for more papers by this authorCorresponding Author
Habib Rahbar MD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Address reprint requests to: H.R., Seattle Cancer Care Alliance, 1144 Eastlake Ave. East, Room LG-200, Seattle, WA 98109. E-mail: [email protected]Search for more papers by this authorGeraldine J. Liao MD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Department of Radiology, Virginia Mason Medical Center, Seattle, Washington, USA
Search for more papers by this authorLeah C. Henze Bancroft PhD
Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
Search for more papers by this authorRoberta M. Strigel MD, MS
Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
Carbone Cancer Center, University of Wisconsin, Madison, Wisconsin, USA
Search for more papers by this authorRhea D. Chitalia BSE
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorDespina Kontos PhD
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Search for more papers by this authorLinda Moy MD
Department of Radiology, New York University School of Medicine, New York, New York, USA
Search for more papers by this authorSavannah C. Partridge PhD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Search for more papers by this authorCorresponding Author
Habib Rahbar MD
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA
Address reprint requests to: H.R., Seattle Cancer Care Alliance, 1144 Eastlake Ave. East, Room LG-200, Seattle, WA 98109. E-mail: [email protected]Search for more papers by this authorAbstract
The degree of normal fibroglandular tissue that enhances on breast MRI, known as background parenchymal enhancement (BPE), was initially described as an incidental finding that could affect interpretation performance. While BPE is now established to be a physiologic phenomenon that is affected by both endogenous and exogenous hormone levels, evidence supporting the notion that BPE frequently masks breast cancers is limited. However, compelling data have emerged to suggest BPE is an independent marker of breast cancer risk and breast cancer treatment outcomes. Specifically, multiple studies have shown that elevated BPE levels, measured qualitatively or quantitatively, are associated with a greater risk of developing breast cancer. Evidence also suggests that BPE could be a predictor of neoadjuvant breast cancer treatment response and overall breast cancer treatment outcomes. These discoveries come at a time when breast cancer screening and treatment have moved toward an increased emphasis on targeted and individualized approaches, of which the identification of imaging features that can predict cancer diagnosis and treatment response is an increasingly recognized component. Historically, researchers have primarily studied quantitative tumor imaging features in pursuit of clinically useful biomarkers. However, the need to segment less well-defined areas of normal tissue for quantitative BPE measurements presents its own unique challenges. Furthermore, there is no consensus on the optimal timing on dynamic contrast-enhanced MRI for BPE quantitation. This article comprehensively reviews BPE with a particular focus on its potential to increase precision approaches to breast cancer risk assessment, diagnosis, and treatment. It also describes areas of needed future research, such as the applicability of BPE to women at average risk, the biological underpinnings of BPE, and the standardization of BPE characterization.
Level of Evidence: 3
Technical Efficacy Stage: 5 J. Magn. Reson. Imaging 2020;51:43–61.
References
- 1Hortobagyi GN, Connolly JL, D'Orsi CJ, et al. AJCC cancer staging manual: Breast. In: Amin MB, editor. AJCC cancer staging manual. Eighth edition / editor-in-chief, Mahul B. Amin, MD, FCAP; editors, Stephen B. Edge, MD, FACS, and 16 others; Donna M. Gress, RHIT, CTR, Technical editor; Laura R. Meyer, CAPM, Managing editor. Chicago: American Joint Committee on Cancer, Springer; 2017.
- 2Boyd NF, Byng JW, Jong RA, et al. Quantitative classification of mammographic densities and breast cancer risk: Results from the Canadian National Breast Screening Study. J Natl Cancer Inst 1995; 87: 670–675.
- 3Boyd NF, Guo H, Martin LJ, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med 2007; 356: 227–236.
- 4Mandelson MT, Oestreicher N, Porter PL, et al. Breast density as a predictor of mammographic detection: Comparison of interval- and screen-detected cancers. J Natl Cancer Inst 2000; 92: 1081–1087.
- 5Barlow WE, White E, Ballard-Barbash R, et al. Prospective breast cancer risk prediction model for women undergoing screening mammography. J Natl Cancer Inst 2006; 98: 1204–1214.
- 6Tice JA, Cummings SR, Smith-Bindman R, Ichikawa L, Barlow WE, Kerlikowske K. Using clinical factors and mammographic breast density to estimate breast cancer risk: Development and validation of a new predictive model. Ann Intern Med 2008; 148: 337–347.
- 7Sprague BL, Gangnon RE, Burt V, et al. Prevalence of mammographically dense breasts in the United States. J Natl Cancer Inst 2014; 106(10).
10.1093/jnci/dju255 Google Scholar
- 8King V, Brooks JD, Bernstein JL, Reiner AS, Pike MC, Morris EA. Background parenchymal enhancement at breast MR imaging and breast cancer risk. Radiology 2011; 260: 50–60.
- 9Morris EA, Comstock CE, Lee CH, Lehman CD, Ikeda DM. ACR BI-RADS® Magnetic Resonance Imaging. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA: American College of Radiology; 2013.
- 10Eyal E, Badikhi D, Furman-Haran E, Kelcz F, Kirshenbaum KJ, Degani H. Principal component analysis of breast DCE-MRI adjusted with a model-based method. J Magn Reson Imaging 2009; 30: 989–998.
- 11Ha R, Chang P, Mema E, et al. Fully automated convolutional neural network method for quantification of breast MRI fibroglandular tissue and background parenchymal enhancement. J Digit Imaging 2018 [Epub ahead of print].
- 12Ha R, Mema E, Guo X, et al. Three-dimensional quantitative validation of breast magnetic resonance imaging background parenchymal enhancement assessments. Curr Probl Diagn Radiol 2016; 45: 297–303.
- 13Mema E, Mango VL, Guo X, et al. Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysis. J Magn Reson Imaging 2018; 47: 753–759.
- 14Giess CS, Yeh ED, Raza S, Birdwell RL. Background parenchymal enhancement at breast MR imaging: Normal patterns, diagnostic challenges, and potential for false-positive and false-negative interpretation. Radiographics 2014; 34: 234–247.
- 15Kuhl CK, Bieling HB, Gieseke J, et al. Healthy premenopausal breast parenchyma in dynamic contrast-enhanced MR imaging of the breast: Normal contrast medium enhancement and cyclical-phase dependency. Radiology 1997; 203: 137–144.
- 16Cubuk R, Tasali N, Narin B, Keskiner F, Celik L, Guney S. Correlation between breast density in mammography and background enhancement in MR mammography. Radiol Med 2010; 115: 434–441.
- 17Hansen NL, Kuhl CK, Barabasch A, Strobel K, Schrading S. Does MRI breast “density" (degree of background enhancement) correlate with mammographic breast density? J Magn Reson Imaging 2014; 40: 483–489.
- 18Ko ES, Lee BH, Choi HY, Kim RB, Noh WC. Background enhancement in breast MR: Correlation with breast density in mammography and background echotexture in ultrasound. Eur J Radiol 2011; 80: 719–723.
- 19Hambly NM, Liberman L, Dershaw DD, Brennan S, Morris EA. Background parenchymal enhancement on baseline screening breast MRI: Impact on biopsy rate and short-interval follow-up. AJR Am J Roentgenol 2011; 196: 218–224.
- 20Uematsu T, Kasami M, Watanabe J. Should breast MRI be performed with adjustment for the phase in patients' menstrual cycle? Correlation between mammographic density, age, and background enhancement on breast MRI without adjusting for the phase in patients' menstrual cycle. Eur J Radiol 2012; 81: 1539–1542.
- 21Li J, Dershaw DD, Lee CH, Joo S, Morris EA. Breast MRI after conservation therapy: Usual findings in routine follow-up examinations. AJR Am J Roentgenol 2010; 195: 799–807.
- 22Melsaether A, Pujara AC, Elias K, et al. Background parenchymal enhancement over exam time in patients with and without breast cancer. J Magn Reson Imaging 2017; 45: 74–83.
- 23Delille JP, Slanetz PJ, Yeh ED, Kopans DB, Garrido L. Physiologic changes in breast magnetic resonance imaging during the menstrual cycle: Perfusion imaging, signal enhancement, and influence of the T1 relaxation time of breast tissue. Breast J 2005; 11: 236–241.
- 24Jung Y, Jeong SK, Kang DK, Moon Y, Kim TH. Quantitative analysis of background parenchymal enhancement in whole breast on MRI: Influence of menstrual cycle and comparison with a qualitative analysis. Eur J Radiol 2018; 103: 84–89.
- 25Muller-Schimpfle M, Ohmenhauser K, Stoll P, Dietz K, Claussen CD. Menstrual cycle and age: Influence on parenchymal contrast medium enhancement in MR imaging of the breast. Radiology 1997; 203: 145–149.
- 26DeLeo MJ, 3rd, Domchek SM, Kontos D, Conant E, Chen J, Weinstein S. Breast MRI fibroglandular volume and parenchymal enhancement in BRCA1 and BRCA2 mutation carriers before and immediately after risk-reducing salpingo-oophorectomy. AJR Am J Roentgenol 2015; 204: 669–673.
- 27King V, Gu Y, Kaplan JB, Brooks JD, Pike MC, Morris EA. Impact of menopausal status on background parenchymal enhancement and fibroglandular tissue on breast MRI. Eur Radiol 2012; 22: 2641–2647.
- 28Brooks JD, Sung JS, Pike MC, et al. MRI background parenchymal enhancement, breast density and serum hormones in postmenopausal women. Int J Cancer 2018; 143: 823–830.
- 29Pfleiderer SO, Sachse S, Sauner D, et al. Changes in magnetic resonance mammography due to hormone replacement therapy. Breast Cancer Res 2004; 6: R232–238.
- 30King V, Goldfarb SB, Brooks JD, et al. Effect of aromatase inhibitors on background parenchymal enhancement and amount of fibroglandular tissue at breast MR imaging. Radiology 2012; 264: 670–678.
- 31King V, Kaplan J, Pike MC, et al. Impact of tamoxifen on amount of fibroglandular tissue, background parenchymal enhancement, and cysts on breast magnetic resonance imaging. Breast J 2012; 18: 527–534.
- 32Mousa NA, Eiada R, Crystal P, Nayot D, Casper RF. The effect of acute aromatase inhibition on breast parenchymal enhancement in magnetic resonance imaging: A prospective pilot clinical trial. Menopause 2012; 19: 420–425.
- 33Oksa S, Parkkola R, Luukkaala T, Maenpaa J. Breast magnetic resonance imaging findings in women treated with toremifene for premenstrual mastalgia. Acta Radiol 2009; 50: 984–989.
- 34Tan-Chiu E, Wang J, Costantino JP, et al. Effects of tamoxifen on benign breast disease in women at high risk for breast cancer. J Natl Cancer Inst 2003; 95: 302–307.
- 35Schrading S, Schild H, Kuhr M, Kuhl C. Effects of tamoxifen and aromatase inhibitors on breast tissue enhancement in dynamic contrast-enhanced breast MR imaging: A longitudinal intraindividual cohort study. Radiology 2014; 271: 45–55.
- 36An YS, Jung Y, Kim JY, et al. Metabolic activity of normal glandular tissue on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography: Correlation with menstrual cycles and parenchymal enhancements. J Breast Cancer 2017; 20: 386–392.
- 37Leithner D, Baltzer PA, Magometschnigg HF, et al. Quantitative assessment of breast parenchymal uptake on 18F-FDG PET/CT: Correlation with age, background parenchymal enhancement, and amount of fibroglandular tissue on MRI. J Nucl Med 2016; 57: 1518–1522.
- 38Sung JS, Corben AD, Brooks JD, et al. Histopathologic characteristics of background parenchymal enhancement (BPE) on breast MRI. Breast Cancer Res Treat 2018; 172: 487–496.
- 39Scaranelo AM, Carrillo MC, Fleming R, Jacks LM, Kulkarni SR, Crystal P. Pilot study of quantitative analysis of background enhancement on breast MR images: Association with menstrual cycle and mammographic breast density. Radiology 2013; 267: 692–700.
- 40Melsaether A, McDermott M, Gupta D, Pysarenko K, Shaylor SD, Moy L. Inter- and intrareader agreement for categorization of background parenchymal enhancement at baseline and after training. AJR Am J Roentgenol 2014; 203: 209–215.
- 41Preibsch H, Wanner L, Bahrs SD, et al. Background parenchymal enhancement in breast MRI before and after neoadjuvant chemotherapy: Correlation with tumour response. Eur Radiol 2016; 26: 1590–1596.
- 42DeMartini WB, Liu F, Peacock S, Eby PR, Gutierrez RL, Lehman CD. Background parenchymal enhancement on breast MRI: Impact on diagnostic performance. AJR Am J Roentgenol 2012; 198: W373–380.
- 43Ray KM, Kerlikowske K, Lobach IV, et al. Effect of background parenchymal enhancement on breast MR imaging interpretive performance in community-based practices. Radiology 2018; 286: 822–829.
- 44Brennan SB, Sung JS, Dershaw DD, Liberman L, Morris EA. Cancellation of MR imaging-guided breast biopsy due to lesion nonvisualization: Frequency and follow-up. Radiology 2011; 261: 92–99.
- 45Dontchos BN, Rahbar H, Peacock S, Lehman CD. Influence of menstrual cycle timing on screening breast MRI performance in pre-menopausal women. Presented (oral) at the Radiological Society of North America (RSNA) Annual Meeting, 2012, Chicago.
- 46van Zelst JCM, Vreemann S, Witt HJ, et al. Multireader study on the diagnostic accuracy of ultrafast breast magnetic resonance imaging for breast cancer screening. Invest Radiol 2018; 53: 579–586.
- 47Baek JE, Kim SH, Lee AW. Background parenchymal enhancement in breast MRIs of breast cancer patients: Impact on tumor size estimation. Eur J Radiol 2014; 83: 1356–1362.
- 48Baek SH, Choi WJ, Cha JH, Kim HH, Shin HJ, Chae EY. Comparison of mammography, ultrasound, and MRI in size assessment of ductal carcinoma in situ with histopathologic correlation. Acta Radiol 2017; 58: 1434–1441.
- 49Preibsch H, Beckmann J, Pawlowski J, et al. Accuracy of breast magnetic resonance imaging compared to mammography in the preoperative detection and measurement of pure ductal carcinoma in situ: A retrospective analysis. Acad Radiol 2018 [Epub ahead of print].
- 50Park SY, Kang DK, Kim TH. Does background parenchymal enhancement on MRI affect the rate of positive resection margin in breast cancer patients? Br J Radiol 2015; 88: 20140638.
- 51Preibsch H, Richter V, Bahrs SD, et al. Repeated surgeries in invasive lobular breast cancer with preoperative MRI: Role of additional carcinoma in situ and background parenchymal enhancement. Eur J Radiol 2017; 90: 181–187.
- 52Kajihara M, Goto M, Hirayama Y, et al. Effect of the menstrual cycle on background parenchymal enhancement in breast MR imaging. Magn Reson Med Sci 2013; 12: 39–45.
- 53Tomida T, Urikura A, Uematsu T, Shirata K, Nakaya Y. Contrast enhancement in breast cancer and background mammary-gland tissue during the super-early phase of dynamic breast magnetic resonance imaging. Acad Radiol 2017; 24: 1380–1386.
- 54Kang SS, Ko EY, Han BK, Shin JH, Hahn SY, Ko ES. Background parenchymal enhancement on breast MRI: Influence of menstrual cycle and breast composition. J Magn Reson Imaging 2014; 39: 526–534.
- 55Shin GW, Zhang Y, Kim MJ, et al. 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 2018; 48: 1678–1689.
- 56Cho GY, Moy L, Kim SG, et al. Comparison of contrast enhancement and diffusion-weighted magnetic resonance imaging in healthy and cancerous breast tissue. Eur J Radiol 2015; 84: 1888–1893.
- 57Kim JY, Kim SH, Kim YJ, et al. Enhancement parameters on dynamic contrast enhanced breast MRI: Do they correlate with prognostic factors and subtypes of breast cancers? Magn Reson Imaging 2015; 33: 72–80.
- 58Lam DL, Hippe DS, Kitsch AE, Partridge SC, Rahbar H. Assessment of quantitative magnetic resonance imaging background parenchymal enhancement parameters to improve determination of individual breast cancer risk. J Comput Assist Tomogr 2018 [Epub ahead of print].
- 59Kim SA, Cho N, Ryu EB, et al. Background parenchymal signal enhancement ratio at preoperative MR imaging: Association with subsequent local recurrence in patients with ductal carcinoma in situ after breast conservation surgery. Radiology 2014; 270: 699–707.
- 60Kim MY, Cho N, Koo HR, et al. Predicting local recurrence following breast-conserving treatment: Parenchymal signal enhancement ratio (SER) around the tumor on preoperative MRI. Acta Radiol 2013; 54: 731–738.
- 61Park VY, Kim EK, Kim MJ, Yoon JH, Moon HJ. Breast parenchymal signal enhancement ratio at preoperative magnetic resonance imaging: Association with early recurrence in triple-negative breast cancer patients. Acta Radiol 2016; 57: 802–808.
- 62Pineda FD, Medved M, Wang S, et al. Ultrafast bilateral DCE-MRI of the breast with conventional Fourier sampling: Preliminary evaluation of semi-quantitative analysis. Acad Radiol 2016; 23: 1137–1144.
- 63Pujara AC, Mikheev A, Rusinek H, et al. Comparison between qualitative and quantitative assessment of background parenchymal enhancement on breast MRI. J Magn Reson Imaging 2018; 47: 1685–1691.
- 64Wu S, Weinstein SP, Conant EF, Kontos D. Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method. Med Phys 2013; 40: 122302.
- 65van der Velden BH, Dmitriev I, Loo CE, Pijnappel RM, Gilhuijs KG. Association between parenchymal enhancement of the contralateral breast in dynamic contrast-enhanced MR imaging and outcome of patients with unilateral invasive breast cancer. Radiology 2015; 276: 675–685.
- 66Chen JH, Yu HJ, Hsu C, Mehta RS, Carpenter PM, Su MY. Background parenchymal enhancement of the contralateral normal breast: Association with tumor response in breast cancer patients receiving neoadjuvant chemotherapy. Transl Oncol 2015; 8: 204–209.
- 67Hu X, Jiang L, Li Q, Gu Y. Quantitative assessment of background parenchymal enhancement in breast magnetic resonance images predicts the risk of breast cancer. Oncotarget 2017; 8: 10620–10627.
- 68Jiang L, Hu X, Xiao Q, Gu Y, Li Q. Fully automated segmentation of whole breast using dynamic programming in dynamic contrast enhanced MR images. Med Phys 2017; 44: 2400–2414.
- 69Nie K, Chen JH, Chan S, et al. Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI. Med Phys 2008; 35: 5253–5262.
- 70Wu S, Weinstein SP, DeLeo MJ 3rd, et al. Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: Preliminary evaluation in a cohort of BRCA1/2 mutation carriers. Breast Cancer Res 2015; 17: 67.
- 71Wu S, Weinstein SP, Conant EF, Schnall MD, Kontos D. Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images. Med Phys 2013; 40: 042301.
- 72Johnson JM, Henze Bancroft LC, Hernando D, Zea R, Reeder SB, Strigel RM. Gradient tracing for semiautomatic full breast segmentation of low resolution, low contrast breast MR images. In: Proc 25th Annual Meeting ISMRM, Honolulu; 2017. p 2131.
- 73Tagliafico A, Bignotti B, Tagliafico G, Tosto S, Signori A, Calabrese M. Quantitative evaluation of background parenchymal enhancement (BPE) on breast MRI. A feasibility study with a semi-automatic and automatic software compared to observer-based scores. Br J Radiol 2015; 88: 20150417.
- 74Yang Q, Li L, Zhang J, Shao G, Zheng B. A new quantitative image analysis method for improving breast cancer diagnosis using DCE-MRI examinations. Med Phys 2015; 42: 103–109.
- 75Yang Q, Li L, Zhang J, Shao G, Zhang C, Zheng B. Computer-aided diagnosis of breast DCE-MRI images using bilateral asymmetry of contrast enhancement between two breasts. J Digit Imaging 2014; 27: 152–160.
- 76Zeng L, Lo G, Moshonov H, Liang J, Hodgson D, Crystal P. Breast background parenchymal enhancement on screening magnetic resonance imaging in women who received chest radiotherapy for childhood Hodgkin's lymphoma. Acad Radiol 2016; 23: 168–175.
- 77Wu J, Sun X, Wang J, et al. Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation. J Magn Reson Imaging 2017; 46: 1017–1027.
- 78Mazurowski MA, Grimm LJ, Zhang J, et al. Recurrence-free survival in breast cancer is associated with MRI tumor enhancement dynamics quantified using computer algorithms. Eur J Radiol 2015; 84: 2117–2122.
- 79Klifa C, Suzuki S, Aliu S, et al. Quantification of background enhancement in breast magnetic resonance imaging. J Magn Reson Imaging 2011; 33: 1229–1234.
- 80Lewin AA, Kim SG, Babb JS, et al. Assessment of background parenchymal enhancement and lesion kinetics in breast MRI of BRCA 1/2 mutation carriers compared to matched controls using quantitative kinetic analysis. Acad Radiol 2016; 23: 358–367.
- 81Clendenen TV, Zeleniuch-Jacquotte A, Moy L, Pike MC, Rusinek H, Kim S. Comparison of 3-point Dixon imaging and fuzzy C-means clustering methods for breast density measurement. J Magn Reson Imaging 2013; 38: 474–481.
- 82Strigel RM, Henze Bancroft LC, Hernando D, Reeder SB. Proton density water fraction as a measurement of breast fibroglandular tissue volume and concentration. In: Proc 24th Annual Meeting ISMRM, Singapore; 2016.
- 83Ding J, Stopeck AT, Gao Y, et al. Reproducible automated breast density measure with no ionizing radiation using fat-water decomposition MRI. J Magn Reson Imaging 2018; 48: 971–981.
- 84Zhang Y, Chen JH, Chang KT, et al. Automatic breast and fibroglandular tissue segmentation in breast MRI using deep learning by a fully-convolutional residual neural network U-Net. Acad Radiol 2019 [Epub ahead of print].
- 85Amano Y, Woo J, Amano M, Yanagisawa F, Yamamoto H, Tani M. MRI texture analysis of background parenchymal enhancement of the breast. Biomed Res Int 2017; 2017: 4845909.
- 86Bennani-Baiti B, Dietzel M, Baltzer PA. MRI Background parenchymal enhancement is not associated with breast cancer. PLoS One 2016; 11: e0158573.
- 87Dontchos BN, Rahbar H, Partridge SC, et al. Are qualitative assessments of background parenchymal enhancement, amount of fibroglandular tissue on mr images, and mammographic density associated with breast cancer risk? Radiology 2015; 276: 371–380.
- 88Grimm LJ, Saha A, Ghate SV, et al. Relationship between background parenchymal enhancement on high-risk screening MRI and future breast cancer risk. Acad Radiol 2018 [Epub ahead of print].
- 89Telegrafo M, Rella L, Stabile Ianora AA, Angelelli G, Moschetta M. Breast MRI background parenchymal enhancement (BPE) correlates with the risk of breast cancer. Magn Reson Imaging 2016; 34: 173–176.
- 90Arasu VA, Miglioretti DL, Sprague BL, et al. Population-based assessment of the association between magnetic resonance imaging background parenchymal enhancement and future primary breast cancer risk. J Clin Oncol 2019:JCO1800378.
- 91Kuhl CK. Abbreviated breast MRI for screening women with dense breast: The EA1141 trial. Br J Radiol 2018; 91: 20170441.
- 92Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers RD, Bieling HB. Abbreviated breast magnetic resonance imaging (MRI): First postcontrast subtracted images and maximum-intensity projection—A novel approach to breast cancer screening with MRI. J Clin Oncol 2014; 32: 2304–2310.
- 93Hilal T, Covington M, Kosiorek HE, et al. Breast MRI phenotype and background parenchymal enhancement may predict tumor response to neoadjuvant endocrine therapy. Breast J 2018 [Epub ahead of print].
- 94Oh SJ, Chae EY, Cha JH, Shin HJ, Choi WJ, Kim HH. Relationship between background parenchymal enhancement on breast MRI and pathological tumor response in breast cancer patients receiving neoadjuvant chemotherapy. Br J Radiol 2018; 91: 20170550.
- 95You C, Gu Y, Peng W, et al. Decreased background parenchymal enhancement of the contralateral breast after two cycles of neoadjuvant chemotherapy is associated with tumor response in HER2-positive breast cancer. Acta Radiol 2018; 59: 806–812.
- 96You C, Peng W, Zhi W, et al. Association between background parenchymal enhancement and pathologic complete remission throughout the neoadjuvant chemotherapy in breast cancer patients. Transl Oncol 2017; 10: 786–792.
- 97Choi JS, Ko ES, Ko EY, Han BK, Nam SJ. Background parenchymal enhancement on preoperative magnetic resonance imaging: Association with recurrence-free survival in breast cancer patients treated with neoadjuvant chemotherapy. Medicine 2016; 95: e3000.
- 98Lim Y, Ko ES, Han BK, et al. Background parenchymal enhancement on breast MRI: Association with recurrence-free survival in patients with newly diagnosed invasive breast cancer. Breast Cancer Res Treat 2017; 163: 573–586.
- 99Luo J, Johnston BS, Kitsch AE, et al. Ductal carcinoma in situ: Quantitative preoperative breast MR imaging features associated with recurrence after treatment. Radiology 2017; 285: 788–797.
- 100Vreemann S, Gubern-Merida A, Borelli C, Bult P, Karssemeijer N, Mann RM. The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers. PLoS One 2018; 13: e0191399.
- 101Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012; 48: 441–446.
- 102Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images are more than pictures, they are data. Radiology 2015; 278: 563–577.
- 103Gastounioti A, Conant EF, Kontos D. Beyond breast density: A review on the advancing role of parenchymal texture analysis in breast cancer risk assessment. Breast Cancer Res 2016; 18: 91.
- 104Mendel KR, Li H, Giger ML. Quantitative breast MRI radiomics for cancer risk assessment and the monitoring of high-risk populations. In: Medical imaging 2016: Computer-aided diagnosis, Vol. 9785. International Society for Optics and Photonics; 2016. p 97851W.
- 105Sutton EJ, Huang EP, Drukker K, et al. Breast MRI radiomics: Comparison of computer- and human-extracted imaging phenotypes. Eur Radiol Exp 2017; 1: 22.
- 106Mazurowski MA, Zhang J, Grimm LJ, Yoon SC, Silber JI. Radiogenomic analysis of breast cancer: Luminal B molecular subtype is associated with enhancement dynamics at MR imaging. Radiology 2014; 273: 365–372.
- 107Wang J, Kato F, Oyama-Manabe N, et al. Identifying triple-negative breast cancer using background parenchymal enhancement heterogeneity on dynamic contrast-enhanced MRI: A pilot radiomics study. PLoS One 2015; 10: e0143308.
- 108Braman NM, Etesami M, Prasanna P, et al. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI. Breast Cancer Res 2017; 19: 57.
- 109Wu S, Berg WA, Zuley ML, et al. Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer. Breast Cancer Res 2016; 18: 76.
- 110Wu J, Li B, Sun X, et al. Heterogeneous enhancement patterns of tumor-adjacent parenchyma at MR imaging are associated with dysregulated signaling pathways and poor survival in breast cancer. Radiology 2017; 285: 401–413.
- 111Fan M, Wu G, Cheng H, Zhang J, Shao G, Li L. Radiomic analysis of DCE-MRI for prediction of response to neoadjuvant chemotherapy in breast cancer patients. Eur J Radiol 2017; 94: 140–147.
- 112Bignotti B, Signori A, Valdora F, et al. Evaluation of background parenchymal enhancement on breast MRI: A systematic review. Br J Radiol 2017; 90: 20160542.