Screening Breast MRI and the Science of Premenopausal Background Parenchymal Enhancement

Author(s):  
Stephen Vong ◽  
Anthony J Ronco ◽  
Elham Najafpour ◽  
Shadi Aminololama-Shakeri

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.

2020 ◽  
Vol 61 (12) ◽  
pp. 1600-1607
Author(s):  
Roxanna Hellgren ◽  
Ariel Saracco ◽  
Fredrik Strand ◽  
Mikael Eriksson ◽  
Ann Sundbom ◽  
...  

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.


Radiology ◽  
2019 ◽  
Vol 292 (3) ◽  
pp. 552-561 ◽  
Author(s):  
Christopher M. Thompson ◽  
Indika Mallawaarachchi ◽  
Durgesh K. Dwivedi ◽  
Anoop P. Ayyappan ◽  
Navkiran K. Shokar ◽  
...  

2016 ◽  
Vol 78 (11-3) ◽  
Author(s):  
Noor Khairiah A. Karim ◽  
Rohayu Hami ◽  
Nur Hashamimi Hashim ◽  
Nizuwan Azman ◽  
Ibrahim Lutfi Shuaib

The risk factors of breast cancer among women, such as genetic, family history and lifestyle factors, can be divided into high-, intermediate- and average-risk. Determining these risk factors may actually help in preventing breast cancer occurrence. Besides that, screening of breast cancer which include mammography, can be done in promoting early breast cancer detection. Breast magnetic resonance imaging (MRI) has been recommended as a supplemental screening tool in high risk women. The aim of this study was to identify the significant risk factor of breast cancer among women and also to determine the usefulness of breast MRI as an addition to mammography in detection of breast cancer in high risk women. This retrospective cohort study design was conducted using patients’ data taken from those who underwent mammography for screening or diagnostic purposes in Advanced Medical and Dental Institute, Universiti Sains Malaysia, from 2007 until 2015. Data from 289 subjects were successfully retrieved and analysed based on their risk factors of breast cancer. Meanwhile, data from 120 subjects who had high risks and underwent both mammography and breast MRI were further analysed. There were two significant risk factors of breast cancer seen among the study population: family history of breast cancer (p-value=0.012) and previous history of breast or ovarian cancer (p-value <0.001). Breast MRI demonstrated high sensitivity (90%) while mammography demonstrated high specificity (80%) in detection of breast cancer in all 120 subjects. The number of cases of breast cancer detection using breast MRI [46 (38.3%)] was higher compared to mammography [24 (20.0%)]. However, breast MRI was found to be non-significant as an adjunct tool to mammography in detecting breast cancer in high risk women (p-value=0.189). A comprehensive screening guideline and surveillance of women at high risk is indeed useful and should be implemented to increase cancer detection rate at early stage


2016 ◽  
Vol 34 (2) ◽  
pp. 173-176 ◽  
Author(s):  
Michele Telegrafo ◽  
Leonarda Rella ◽  
Amato Antonio Stabile Ianora ◽  
Giuseppe Angelelli ◽  
Marco Moschetta

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