Key Points
The two main aspects affecting lesion visibility in digital mammography are image noise and image processing. A high amount of noise in low-dose mammographic images adversely affects detection of subtle microcalcifications and characterization of mass lesions, but not mass detection in general. Using a higher energy spectrum for digital mam-mograms while keeping the mean glandular dose constant will lead to a reduction in the image noise and thus to an improved visibility of small micro-calcifications, which are in a similar size range as the individual image pixels.
Tailored image processing with improved contrast in areas of dense breast parenchyma is probably the main reason behind the improved sensitivity of digital mammography in women with dense breasts. However, processing algorithms that try to equalize the range of signal intensities throughout the breast may also reduce the contrast and with this the visibility of subtle mass lesions.
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Bick, U. (2010). Mammographic Signs of Malignancy: Impact of Digital Mammography on Visibility and Appearance. In: Bick, U., Diekmann, F. (eds) Digital Mammography. Medical Radiology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78450-0_11
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