Non-glandular findings on breast ultrasound. Part I: a pictorial review of superficial lesions.
Martina CarusoOrlando CatalanoRobert BardCarlo VarelliFabio CorvinoCorrado CaiazzoAntonio CorvinoPublished in: Journal of ultrasound (2022)
Ultrasound (US) represents the first-level imaging technique in the assessment of breast in young patients, whereas it is complementary to mammography in adult ones. It is not uncommon to encounter non-glandular mass during either screening or diagnostic breast US; sometimes the evaluation of palpable lump may be the reason of clinician's US request. The breast US field-of-view includes not only the glandular parenchyma, but also the tissues located anterior and posterior to it, from the skin to the ribs. In this setting, the radiologist must be familiar with the non-glandular breast diseases, which can occur in the superficial layers as well as in the chest wall. The differential diagnosis varies according to anatomic layer, so the anatomic origin is the first feature to assess and the correct localization is needed to avoid misdiagnosis and to choose, when requested, the second diagnostic step, imaging or histologic analysis. This paper is the first of two focused on non-glandular breast lesions; characterization, differential diagnosis, and pitfalls of superficial lesions are reviewed. They may be located in the dermis or hypodermis: the former are usually benign skin lesions, whereas the latter, although usually benign, may arise also from the anterior terminal lobular units, hence the papilloma, fibroadenomas, and breast cancers should be included in the differential diagnosis. US is more sensitive than CT and MRI in the assessment of superficial lesions due to higher spatial resolution.
Keyphrases
- magnetic resonance imaging
- high resolution
- end stage renal disease
- contrast enhanced
- gene expression
- chronic kidney disease
- ejection fraction
- newly diagnosed
- deep learning
- young adults
- prognostic factors
- positron emission tomography
- photodynamic therapy
- mass spectrometry
- soft tissue
- ultrasound guided
- fluorescence imaging
- neural network