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Comparative Study
. 2006 Dec;60(3):398-404.
doi: 10.1016/j.ejrad.2006.08.002. Epub 2006 Oct 9.

Influence of mammographic density on the diagnostic accuracy of tumor size assessment and association with breast cancer tumor characteristics

Affiliations
Comparative Study

Influence of mammographic density on the diagnostic accuracy of tumor size assessment and association with breast cancer tumor characteristics

Peter A Fasching et al. Eur J Radiol. 2006 Dec.

Abstract

Purpose: The accuracy of breast cancer staging involves the estimation of the tumor size for the initial decision-making in the treatment. We investigated the accuracy of tumor size estimation and the association between tumor characteristics and breast density (BD).

Materials and methods: A total of 434 women with a primary diagnosis of breast cancer were included in this prospective study at a specialist breast unit. Estimated tumor characteristics included tumor size, nodal status, estrogen/progesterone receptor status, Ki-67, HER2/neu, vascular invasion. Radiomorphological data included tumor size as assessed by mammography, breast ultrasonography, and clinical examination, and American College of Radiology (ACR) categories for BD.

Results: BD did not have a significant impact on the assessment of tumor size using breast ultrasound (deviation from ACR categories 1-4: 0.55-0.68 cm; P=0.331). The deviation in mammography was significantly different dependent on BD (0.42-0.9 cm; P<0.001). The clinical examination was not affected by BD. Age and tumor size were the only parameters associated with a denser breast in the multivariate analysis. Older women were less likely to have dense breasts (odds ratio 0.157 for women aged >or=70 years), and patients with larger tumors were less likely to have dense breasts (adjusted OR 0.36 for tumors>2 cm).

Conclusion: Breast ultrasonography is more accurate than mammography for assessing tumor size in breasts with a higher BD. The difference in tumor size assessment needs to be taken into consideration in the design of clinical trials and treatment decisions.

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