Breast MRI background parenchymal enhancement (BPE) correlates with the risk of breast cancer

2016 ◽  
Vol 34 (2) ◽  
pp. 173-176 ◽  
Author(s):  
Michele Telegrafo ◽  
Leonarda Rella ◽  
Amato Antonio Stabile Ianora ◽  
Giuseppe Angelelli ◽  
Marco Moschetta
Keyword(s):  
Breast Cancer ◽  
Breast Mri ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

scholarly journals The association between breast cancer risk factors and background parenchymal enhancement at dynamic contrast-enhanced breast MRI

2020 ◽  
Vol 61 (12) ◽  
pp. 1600-1607
Author(s):  
Roxanna Hellgren ◽  
Ariel Saracco ◽  
Fredrik Strand ◽  
Mikael Eriksson ◽  
Ann Sundbom ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Mammographic Density ◽  
Breast Mri ◽  
Mammographic Breast Density ◽  
Cancer Risk Factors ◽  
Background Parenchymal Enhancement ◽  
Screening Population ◽  
Breast Cancer Risk Factors ◽  
Parenchymal Enhancement

Background Background parenchymal enhancement (BPE) of normal tissue at breast magnetic resonance imaging is suggested to be an independent risk factor for breast cancer. Its association with established risk factors for breast cancer is not fully investigated. Purpose To study the association between BPE and risk factors for breast cancer in a healthy, non-high-risk screening population. Material and Methods We measured BPE and mammographic density and used data from self-reported questionnaires in 214 healthy women aged 43–74 years. We estimated odds ratios for the univariable association between BPE and risk factors. We then fitted an adjusted model using logistic regression to evaluate associations between BPE (high vs. low) and risk factors, including mammographic breast density. Results The majority of women had low BPE (84%). In a multivariable model, we found statistically significant associations between BPE and age ( P = 0.002) and BMI ( P = 0.03). We did find a significant association between systemic progesterone medication and BPE, but due to small numbers, the results should be interpreted with caution. The adjusted odds ratio for high BPE was 3.1 among women with density D (compared to B) and 2.1 for density C (compared to B). However, the association between high BPE and density was not statistically significant. We did not find statistically significant associations with any other risk factors. Conclusion Our study confirmed the known association of BPE with age and BMI. Although our results show a higher likelihood for high BPE with increasing levels of mammographic density, the association was not statistically significant.

scholarly journals The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis

Radiology ◽  
2019 ◽  
Vol 292 (3) ◽  
pp. 552-561 ◽  
Author(s):  
Christopher M. Thompson ◽  
Indika Mallawaarachchi ◽  
Durgesh K. Dwivedi ◽  
Anoop P. Ayyappan ◽  
Navkiran K. Shokar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Meta Analysis ◽  
Breast Mri ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

scholarly journals Population-Based Assessment of the Association Between Magnetic Resonance Imaging Background Parenchymal Enhancement and Future Primary Breast Cancer Risk

2019 ◽  
Vol 37 (12) ◽  
pp. 954-963 ◽  
Author(s):  
Vignesh A. Arasu ◽  
Diana L. Miglioretti ◽  
Brian L. Sprague ◽  
Nila H. Alsheik ◽  
Diana S.M. Buist ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Ductal Carcinoma ◽  
Breast Mri ◽  
Resonance Imaging ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

PURPOSE To evaluate comparative associations of breast magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and mammographic breast density with subsequent breast cancer risk. PATIENTS AND METHODS We examined women undergoing breast MRI in the Breast Cancer Surveillance Consortium from 2005 to 2015 (with one exam in 2000) using qualitative BPE assessments of minimal, mild, moderate, or marked. Breast density was assessed on mammography performed within 5 years of MRI. Among women diagnosed with breast cancer, the first BPE assessment was included if it was more than 3 months before their first diagnosis. Breast cancer risk associated with BPE was estimated using Cox proportional hazards regression. RESULTS Among 4,247 women, 176 developed breast cancer (invasive, n = 129; ductal carcinoma in situ,n = 47) over a median follow-up time of 2.8 years. More women with cancer had mild, moderate, or marked BPE than women without cancer (80% v 66%, respectively). Compared with minimal BPE, increasing BPE levels were associated with significantly increased cancer risk (mild: hazard ratio [HR], 1.80; 95% CI, 1.12 to 2.87; moderate: HR, 2.42; 95% CI, 1.51 to 3.86; and marked: HR, 3.41; 95% CI, 2.05 to 5.66). Compared with women with minimal BPE and almost entirely fatty or scattered fibroglandular breast density, women with mild, moderate, or marked BPE demonstrated elevated cancer risk if they had almost entirely fatty or scattered fibroglandular breast density (HR, 2.30; 95% CI, 1.19 to 4.46) or heterogeneous or extremely dense breasts (HR, 2.61; 95% CI, 1.44 to 4.72), with no significant interaction ( P = .82). Combined mild, moderate, and marked BPE demonstrated significantly increased risk of invasive cancer (HR, 2.73; 95% CI, 1.66 to 4.49) but not ductal carcinoma in situ (HR, 1.48; 95% CI, 0.72 to 3.05). CONCLUSION BPE is associated with future invasive breast cancer risk independent of breast density. BPE should be considered for risk prediction models for women undergoing breast MRI.

Screening Breast MRI and the Science of Premenopausal Background Parenchymal Enhancement

2021 ◽  
Author(s):  
Stephen Vong ◽  
Anthony J Ronco ◽  
Elham Najafpour ◽  
Shadi Aminololama-Shakeri
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Patient Outcomes ◽  
Cancer Detection ◽  
Premenopausal Women ◽  
Breast Mri ◽  
Breast Cancer Detection ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

Abstract The significance of background parenchymal enhancement (BPE) on screening and diagnostic breast MRI continues to be elucidated. Background parenchymal enhancement was initially deemed probably benign and followed or thought of as an artifact degrading the accuracy of breast cancer detection on breast MRI examinations. Subsequent research has focused on understanding the role of BPE regarding screening breast MRI. Today, there is growing evidence that a myriad of factors affect BPE, which in turn may influence patient outcomes. Additionally, BPE could represent an important risk factor for the future development of breast cancer. This article aims to describe the most up-to-date research on BPE as it relates to screening breast MRI in premenopausal women.

scholarly journals Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2− Patients

2020 ◽  
Vol 2 (4) ◽  
pp. 352-360
Author(s):  
Vignesh A Arasu ◽  
Paul Kim ◽  
Wen Li ◽  
Fredrik Strand ◽  
Cody McHargue ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Small Sample Size ◽  
Treatment Options ◽  
Pathologic Complete Response ◽  
Neoadjuvant Treatment ◽  
Breast Mri ◽  
Small Sample ◽  
Her2 Breast Cancer ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

Abstract Objective Women with advanced HER2− breast cancer have limited treatment options. Breast MRI functional tumor volume (FTV) is used to predict pathologic complete response (pCR) to improve treatment efficacy. In addition to FTV, background parenchymal enhancement (BPE) may predict response and was explored for HER2− patients in the I-SPY-2 TRIAL. Methods Women with HER2− stage II or III breast cancer underwent prospective serial breast MRIs during four neoadjuvant chemotherapy timepoints. BPE was quantitatively calculated using whole-breast manual segmentation. Logistic regression models were systematically explored using pre-specified and optimized predictor selection based on BPE or combined with FTV. Results A total of 352 MRI examinations in 88 patients (29 with pCR, 59 non-pCR) were evaluated. Women with hormone receptor (HR)+HER2− cancers who achieved pCR demonstrated a significantly greater decrease in BPE from baseline to pre-surgery compared to non-pCR patients (odds ratio 0.64, 95% confidence interval (CI): 0.39–0.92, P = 0.04). The associated BPE area under the curve (AUC) was 0.77 (95% CI: 0.56–0.98), comparable to the range of FTV AUC estimates. Among multi-predictor models, the highest cross-validated AUC of 0.81 (95% CI: 0.73–0.90) was achieved with combined FTV+HR predictors, while adding BPE to FTV+HR models had an estimated AUC of 0.82 (95% CI: 0.74–0.92). Conclusion Among women with HER2− cancer, BPE alone demonstrated association with pCR in women with HR+HER2− breast cancer, with similar diagnostic performance to FTV. BPE predictors remained significant in multivariate FTV models, but without added discrimination for pCR prediction. This may be due to small sample size limiting ability to create subtype-specific multivariate models.

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