scholarly journals Correlation Between Mammographic Breast Density, Breast Tissue Type in Ultrasonography, Fibroglandular Tissue, and Background Parenchymal Enhancement in Magnetic Resonance Imaging

2018 ◽  
Vol 12 ◽  
pp. 117822341877197 ◽  
Author(s):  
Afsaneh Alikhassi ◽  
Seyedeh Nooshin Miratashi Yazdi ◽  
Hedieh Akbari ◽  
Sona Akbari Kia ◽  
Masoud Baikpour

Objective: Breast cancer is the most common malignancy in the female population, and imaging studies play a critical role for its early detection. Mammographic breast density (MBD) is one of the markers used to predict the risk stratification of breast cancer in patients. We aimed to assess the correlations among MBD, ultrasound breast composition (USBC), fibroglandular tissue (FGT), and the amount of background parenchymal enhancement (BPE) in magnetic resonance imaging, after considering the subjects’ menopausal status. Methods: In this retrospective cross-sectional study, the medical records’ archives in a tertiary referral hospital were reviewed. Data including age, menopausal status, their mammograms, and ultrasound assessments were extracted from their records. All of their imaging studies were reviewed, and MBD, USBC, FGT, and BPE were determined, recorded, and entered into SPSS software for analysis. Results: A total of 121 women (mean age = 42.7 ± 11.0 years) were included, of which 35 out of 115 (30.4%) had reached menopause. Using the Jonckheere-Terpstra test for evaluating the trends among above mentioned 4 radiologic characteristics in the total sample population, a significant positive relation was found between each of these paired variables: (1) USBC-MBD ( P = .006), (2) FGT-MBD ( P = .001), (3) USBC-BPE ( P = .046), (4) USBC-FGT ( P = .036), and (5) BPE-FGT ( P < .001). These trends were not found to be significant among premenopausal subjects. Conclusions: Considering the trends between different measures of breast density in the 3 radiologic modalities, these factors can be used interchangeably in certain settings.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Na Hu ◽  
Jinghao Zhao ◽  
Yong Li ◽  
Quanshui Fu ◽  
Linwei Zhao ◽  
...  

Abstract Background The background parenchymal enhancement at breast magnetic resonance imaging use to predict breast cancer attracts many searchers to draw a possible relationship. However, the results of their relationships were conflicting. This meta-analysis was performed to assess breast cancer frequency associations with background parenchymal enhancement. Methods A systematic literature search up to January 2020 was performed to detect studies recording associations between breast cancer frequency and background parenchymal enhancement. We found thirteen studies including 13,788 women at the start with 4046 breast cancer. We calculated the odds ratio (OR) and the 95% confidence intervals (CIs) between breast cancer frequency and background parenchymal enhancement by the dichotomous technique with a random or fixed-effect model. Results Women with minimal or mild background parenchymal enhancement at breast magnetic resonance imaging did not have any risk of breast cancer compared to control women (OR, 1.20; 95% CI 0.54–2.67). However, high background parenchymal enhancement at breast magnetic resonance imaging (OR, 2.66; 95% CI 1.36–5.19) and moderate (OR, 2.51; 95% CI 1.49–4.21) was associated with a significantly higher rate of breast cancer frequency compared to control women. Conclusions Our meta-analysis showed that the women with high and moderate background parenchymal enhancement at breast magnetic resonance imaging have higher risks, up to 2.66 fold, of breast cancer. We suggest that women with high or moderate background parenchymal enhancement at breast magnetic resonance imaging to be scheduled for more frequent follow-up and screening for breast cancer to avoid any complications.


2021 ◽  
Author(s):  
Gayeong Lim ◽  
Kyoungkyg Bae ◽  
Soyeoun Lim ◽  
Gyoungmin Park ◽  
Minseo Bang

Abstract Background: Background parenchymal enhancement (BPE) and mammographic breast density are risk factors for breast cancer. However, existing evidence regarding the association between these risk factors is inconclusive. This study aimed to evaluate the relationship between BPE and quantitative and subdivided mammographic density parameters, such as fibroglandular tissue (FGT) volume, entire breast volume, and volumetric density (%), measured using a fully automated volumetric software.Methods: From July 2017 to August 2018, patients with newly diagnosed breast cancer who had undergone preoperative mammography and magnetic resonance imaging (MRI) at our hospital were identified. Mammographic density analysis was performed using a fully automated volumetric software. Two breast radiologists consensually rated BPE and the amount of FGT in each contralateral normal breast MRI based on four categories of the Breast Imaging-Reporting and Data System. The Pearson correlation coefficient was used to analyze the relationship between mammographic density and the FGT and BPE observed on breast MRI.Results: A total of 364 women were included, of whom 153 (42%) were premenopausal (mean age, 44.22±6.29 years) and 211 (58%) were postmenopausal (mean age, 57.91±9.59 years).The premenopause group had significantly higher levels of BPE and FGT on MRI and FGT volume and volumetric density (%) on mammography. FGT and BPE observed on breast MRI were correlated in the overall sample and postmenopause group(r=0.352and 0.265, respectively). The FGT volume on mammography was significantly correlated with BPE in the overall sample and in the pre- and postmenopause groups (r=0.290, 0.166, and 0.294, respectively). Volumetric density (%) on mammography and BPE were correlated in the total sample and postmenopause group(r=0.369 and 0.281, respectively). Conclusion: Mammographic breast density and BPE on MRI are significantly correlated in patients with breast cancer. The mammographic FGT volume is particularly correlated with BPE on MRI, regardless of the patient’s menopausal state.


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