scholarly journals Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score

2021 ◽  
Vol 10 ◽  
Author(s):  
Michelle Zhang ◽  
Meredith Sadinski ◽  
Dana Haddad ◽  
Min Sun Bae ◽  
Danny Martinez ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Risk Score ◽  
Breast Conservation ◽  
Breast Mri ◽  
Oncotype Dx ◽  
Post Contrast ◽  
Background Parenchymal Enhancement ◽  
Gene Assay ◽  
The Mean ◽  
Parenchymal Enhancement

PurposeBreast MRI background parenchymal enhancement (BPE) can potentially serve as a prognostic marker, by possible correlation with molecular subtype. Oncotype Dx, a gene assay, is a prognostic and predictive surrogate for tumor aggressiveness and treatment response. The purpose of this study was to investigate the association between contralateral non-tumor breast magnetic resonance imaging (MRI) background parenchymal enhancement and tumor oncotype score.MethodsIn this retrospective study, patients with ER+ and HER2− early stage invasive ductal carcinoma who underwent preoperative breast MRI, oncotype risk scoring, and breast conservation surgery from 2008–2010 were identified. After registration, BPE from the pre and three post-contrast phases was automatically extracted using a k-means clustering algorithm. Four metrics were calculated: initial enhancement (IE) relative to the pre-contrast signal, late enhancement, overall enhancement (OE), and area under the enhancement curve (AUC). Histogram analysis was performed to determine first order metrics which were compared to oncotype risk score groups using Mann–Whitney tests and Spearman rank correlation analysis.ResultsThis study included 80 women (mean age = 51.1 ± 10.3 years); 46 women were categorized as low risk (≤17) and 34 women were categorized as intermediate/high risk (≥18) according to Oncotype Dx. For the mean of the top 10% pixels, significant differences were noted for IE (p = 0.032), OE (p = 0.049), and AUC (p = 0.044). Using the risk score as a continuous variable, correlation analysis revealed a weak but significant correlation with the mean of the top 10% pixels for IE (r = 0.26, p = 0.02), OE (r = 0.25, p = 0.02), and AUC (r = 0.27, p = 0.02).ConclusionBPE metrics of enhancement in the non-tumor breast are associated with tumor Oncotype Dx recurrence score, suggesting that the breast microenvironment may relate to likelihood of recurrence and magnitude of chemotherapy benefit.

scholarly journals Comparison of Radiologist-Assigned Categories and Quantitative Measures of Background Parenchymal Enhancement on Breast MRI

2020 ◽  
Author(s):  
Bethany L Niell ◽  
Mahmoud Abdalah ◽  
Olya Stringfield ◽  
Malesa Pereira ◽  
Dana Ataya ◽  
...  
Keyword(s):  
Active Contours ◽  
Breast Mri ◽  
Automated Segmentation ◽  
Post Contrast ◽  
Fibroglandular Tissue ◽  
Background Parenchymal Enhancement ◽  
Otsu’S Method ◽  
Risk Patients ◽  
Student’S T ◽  
Parenchymal Enhancement

AbstractBackground parenchymal enhancement (BPE) on multi-parametric breast magnetic resonance imaging (mpMRI) reflects the volume and intensity of gadolinium uptake. We developed a semi-automated segmentation algorithm to extract and quantify measures of BPE and investigated the agreement of computed measures of BPE with radiologist-assigned categories. We retrospectively identified 123 high risk patients with breast mpMRI performed for screening indications. Pre- and post-gadolinium T1-weighted series with and without fat suppression were co-registered. Using Otsu’s method and an active contours method, the breast tissue was segmented from the chest wall and non-fat voxels were clustered to identify the amount of fibroglandular tissue. Median and inter-quartile ranges for the absolute volume of BPE (BPE cm3) and the percentage of BPE (BPE%) using a threshold PE of 30% were computed within the segmented FGT on the first post-contrast phase. Student’s t-test was used to evaluate BPE volume and BPE% by radiologist-assigned categories. Both BPE volume and BPE% differed significantly between minimal/mild and moderate/marked radiologist assigned categories (p=0.030 and 0.004, respectively). Using our newly developed semi-automated segmentation pipeline, we quantified fibroglandular tissue and BPE. The overlapping ranges of quantitative BPE corresponding to the radiologist-assigned BPE categories showcases the inter-reader variability with visual estimation of BPE.

Impact of menopausal status on background parenchymal enhancement and fibroglandular tissue on breast MRI

2012 ◽  
Vol 22 (12) ◽  
pp. 2641-2647 ◽  
Author(s):  
Valencia King ◽  
Yajia Gu ◽  
Jennifer B. Kaplan ◽  
Jennifer D. Brooks ◽  
Malcolm C. Pike ◽  
...  
Keyword(s):  
Menopausal Status ◽  
Breast Mri ◽  
Fibroglandular Tissue ◽  
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

Effect of Background Parenchymal Enhancement on Cancer Risk Across Different High-Risk Patient Populations Undergoing Screening Breast MRI

2019 ◽  
Vol 212 (6) ◽  
pp. 1412-1418 ◽  
Author(s):  
Dorothy A. Sippo ◽  
Geoffrey M. Rutledge ◽  
Kristine S. Burk ◽  
Sarah F. Mercaldo ◽  
Brian N. Dontchos ◽  
...  
Keyword(s):  
High Risk ◽  
Cancer Risk ◽  
High Risk Patient ◽  
Breast Mri ◽  
Risk Patient ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement
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