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Delineating Extramammary Findings at Breast MR Imaging
Author(s) -
Yiming Gao,
Opeyemi Ibidapo,
Hildegard K. Toth,
Linda Moy
Publication year - 2017
Publication title -
radiographics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.866
H-Index - 172
eISSN - 1527-1323
pISSN - 0271-5333
DOI - 10.1148/rg.2017160051
Subject(s) - medicine , breast cancer , radiology , malignancy , metastasis , differential diagnosis , abdomen , mammography , magnetic resonance imaging , cancer , pathology
Breast magnetic resonance (MR) imaging is the only breast imaging modality that consistently encompasses extramammary structures in the thorax and upper abdomen. Incidental extramammary findings on breast MR images of patients with a history of breast cancer or other malignancies are significantly more likely to be malignant and may affect staging and treatment. An understanding of the frequency, distribution, and context of extramammary findings on breast MR images and a familiarity with common and uncommon sites of breast cancer metastasis inform the differential diagnosis and prompt the appropriate diagnostic next step, to differentiate benign from malignant findings. High-yield organ systems on breast MR images, as reflected by a high positive predictive value for malignancy, are correlated with known distant sites of breast cancer metastasis in the bone, lung, liver, and lymph nodes. Staging is considered when disease involves the skin and chest wall. Unusual sites of breast cancer metastasis from invasive lobular carcinoma are discussed, including the gastrointestinal tract, peritoneum, and adrenal glands. Nonmalignant clinically important findings involving the cardiovascular and gastrointestinal systems are reviewed, and potential pitfalls in diagnosis and interpretation are highlighted. A consistently systematic diagnostic approach is emphasized for identifying extramammary abnormalities on breast MR images. All things considered, the radiologist should be able to improve diagnostic sensitivity and specificity while interpreting extramammary findings on breast MR images. © RSNA, 2017.

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