scholarly journals Qualitative Assessments of Density and Background Parenchymal Enhancement on Contrast-Enhanced Spectral Mammography Associated with Breast Cancer Risk of High-Risk Women

2020 ◽  
Author(s):  
Ning Mao ◽  
Ping Yin ◽  
Fan Lin ◽  
Zhongyi Wang ◽  
Ping Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
High Risk Women ◽  
Background Parenchymal Enhancement ◽  
Contrast Enhanced ◽  
History Of ◽  
Parenchymal Enhancement

Abstract Background: To investigate the correlation between the risk of developing breast cancer for high-risk women and the density and background parenchymal enhancement (BPE) on contrast-enhanced spectral mammography (CESM).Methods: This retrospective study was approved by the Institutional Review Board of our hospital. Women at high risk, without breast cancer history and received CESM examination from July 2016 to December 2017 were retrospectively enrolled. Patients who developed breast cancer after CESM examination were classified as cancer cohorts, and women who did not develop breast cancer with maximized follow-up time were categorized as control cohorts. These two cohorts were one-to-one matched in age, family and/or genetic history of breast cancer, and BRCA status. The density and amount of BPE at CESM imaging were assessed. Conditional logistic regression was applied to evaluate the relationship between imaging features and breast cancer risk. Results: During the follow-up interval, 90 women at high risk with no history of breast cancer were diagnosed with breast cancer (invasive, n = 46; in situ, n = 44). During follow-up, women with mild, moderate or significant BPE were seven times more likely to be diagnosed with breast cancer than women with minimal BPE [P = 0.005; odds ratio (OR) = 7.0; 95% confidence interval(CI): 1.1-71.1]. Breast density was not significantly different between the two cohorts (P = 0.5). Conclusions: Increased BPE levels increase the risk of breast cancer among high-risk women.

Relationship between Background Parenchymal Enhancement on High-risk Screening MRI and Future Breast Cancer Risk

2019 ◽  
Vol 26 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Lars J. Grimm ◽  
Ashirbani Saha ◽  
Sujata V. Ghate ◽  
Connie Kim ◽  
Mary Scott Soo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Screening ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement ◽  
High Risk Screening

scholarly journals Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report

2019 ◽  
pp. 1-8 ◽  
Author(s):  
Xinyi Jiang ◽  
Julia E. McGuinness ◽  
Margaret Sin ◽  
Thomas Silverman ◽  
Rita Kukafka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Family History ◽  
High Risk ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Screening Mammography ◽  
Self Report ◽  
High Risk Women ◽  
History Of ◽  
Using Data

PURPOSE A barrier to chemoprevention uptake among high-risk women is the lack of routine breast cancer risk assessment in the primary care setting. We calculated breast cancer risk using the Breast Cancer Surveillance Consortium (BCSC) model, accounting for age, race/ethnicity, first-degree family history of breast cancer, benign breast disease, and mammographic density, using data collected from the electronic health records (EHRs) and self-reports. PATIENTS AND METHODS Among women undergoing screening mammography, we enrolled those age 35 to 74 years without a prior history of breast cancer. Data on demographics, first-degree family history, breast radiology, and pathology reports were extracted from the EHR. We assessed agreement between the EHR and self-report on information about breast cancer risk. RESULTS Among 9,514 women with known race/ethnicity, 1,443 women (15.2%) met high-risk criteria based upon a 5-year invasive breast cancer risk of 1.67% or greater according to the BCSC model. Among 1,495 women with both self-report and EHR data, more women with a first-degree family history of breast cancer (14.6% v 4.4%) and previous breast biopsies (21.3% v 11.3%) were identified by self-report versus EHR, respectively. However, more women with atypia and lobular carcinoma in situ were identified from the EHR. There was moderate agreement in identification of high-risk women between EHR and self-report data (κ, 0.48; 95% CI, 0.42-0.54). CONCLUSION By using EHR data, we determined that 15% of women undergoing screening mammography had a high risk for breast cancer according to the BCSC model. There was moderate agreement between information on breast cancer risk derived from the EHR and self-report. Examining EHR data may serve as an initial screen for identifying women eligible for breast cancer chemoprevention.

Quantitative measures of background parenchymal enhancement predict breast cancer risk

2020 ◽  
Author(s):  
Bethany L. Niell ◽  
Mahmoud Abdalah ◽  
Olya Stringfield ◽  
Natarajan Raghunand ◽  
Dana Ataya ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
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.

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