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Abstract
Mammography has been recognized as the best method of screening for breast cancer, for a long time. Although the sensitivity of mammography is acceptable, it has limited specificity and a radiologist should be aware of limitations and pitfalls. There are different positive findings in mammography which are descriptors of breast disease including benign lesions or breast cancer. In this talk I will explain different descriptors of mammography. These descriptors are different in weight toward predicting malignancy. For example, a mass is classified by the shape, margin and density. It has been discussed that some forms of margin have a high positive predictive value for malignancy. Also microcacifications as good descriptors for early malignant process are classified by their shape (morphology) and distribution. We will discuss the comparative weight of different descriptors as predictors of breast cancer.
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© 2017, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.