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Kawamura A, Satake H, Ishigaki S, et al. Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging. Nagoya J Med Sci. 2015;77(3):425-37
Kawamura, A., Satake, H., Ishigaki, S., Ikeda, M., Kimura, R., Shimamoto, K., & Naganawa, S. (2015). Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging. Nagoya journal of medical science, 77(3), 425-37.
Kawamura, Akiko, et al. "Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging." Nagoya journal of medical science vol. 77,3 (2015): 425-37.
Kawamura A, Satake H, Ishigaki S, Ikeda M, Kimura R, Shimamoto K, Naganawa S. Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging. Nagoya J Med Sci. 2015 Aug;77(3):425-37. PMID: 26412889; PMCID: PMC4574330.
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Nagoya J Med Sci. 2015 Aug;77(3):425-37.

Prediction of background parenchymal enhancement on breast MRI using mammography, ultrasonography, and diffusion-weighted imaging.

Nagoya journal of medical science

Akiko Kawamura, Hiroko Satake, Satoko Ishigaki, Mitsuru Ikeda, Reiko Kimura, Kazuhiro Shimamoto, Shinji Naganawa

Affiliations

  1. Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya Japan.
  2. Department of Technical Radiology, Nagoya University School of Health Science, Nagoya, Japan.

PMID: 26412889 PMCID: PMC4574330

Abstract

This retrospective study assessed the effects of menopausal status and menstrual cycle on background parenchymal enhancement (BPE) of breast magnetic resonance imaging (MRI), and investigated whether the degree of BPE can be predicted by findings of mammography, ultrasonography (US), and diffusion-weighted MR imaging (DWI). There were 160 study patients (80 premenopausal, 80 postmenopausal). Degree of BPE was classified into minimal, mild, moderate, or marked. Mammographic density was classified into fatty, scattered, heterogeneously dense, and extremely dense. BP echotexture on US and BP intensity on DWI were visually classified as homogeneous or heterogeneous. Apparent diffusion coefficient (ADC) values of normal breast tissue were measured. Associations of the degree of BPE with menopausal status, menstrual cycle, or imaging features were evaluated by univariate and multivariate analyses. No significant correlation was found between mammographic density and BPE (p=0.085), whereas menopausal status (p=0.000), BP echotexture (p=0.000), and BP intensity on DWI (p= 0.000), and ADC values (p=0.000) showed significant correlations with BPE. Multivariate analysis showed that postmenopausal status was an independent predictor of minimal BPE (p=0.002, OR=3.743). In premenopausal women, there was no significant correlation between menstrual cycle and BPE, whereas BP echotexture was an independent predictor of whether BPE was less than mild or greater than moderate (p=0.001, OR=26.575). BPE on breast MRI is associated with menopausal status and the findings of US and DWI. Because premenopausal women with heterogeneous BP echotexture may be predicted to show moderate or marked BPE, scheduling of breast MRI should preferentially be adjusted to the menstrual cycle.

Keywords: background parenchymal enhancement; diffusion-weighted imaging (DWI); menopausal status, mammography; ultrasonography (US)

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