Granular cell tumor of the breast: correlations between imaging and pathology findings

Abreu, N; Filipe, J; André, S; Marques, JC

http://hdl.handle.net/10400.10/2432

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Abstract(s)

OBJECTIVE: To review the imaging features of granular cell tumors of the breast (on mammography, ultrasound, and magnetic resonance imaging), establishing a pathological correlation, in order to familiarize radiologists with this entity and make them aware of the differential diagnoses, other than malignancy, of lesions with spiculated margins. MATERIALS AND METHODS: We reviewed the medical records (from a clinical-pathology database and picture archiving and communication system) of five patients with a pathologically confirmed diagnosis of granular cell tumor of the breast, treated at the Portuguese Oncology Institute of Lisbon, in the city of Lisbon, Portugal, between January 2012 and December 2018. RESULTS: All five tumors exhibited imaging features highly suggestive of malignancy (BI-RADS 5 lesions), namely spiculated margins, significant depth, and posterior acoustic shadowing (on ultrasound). One tumor showed a kinetic curve indicative of washout on magnetic resonance imaging, two were adherent to the pectoralis muscle, and one was accompanied by skin retraction. Pathology provided the definitive diagnosis in all cases. CONCLUSION: Granular cell tumors of the breast pose a diagnostic challenge because they can present with clinical and imaging features mimicking malignancy, and the diagnosis is therefore provided by pathology. Radiologists should be familiarized with this entity, so they can be aware of the fact that breast lesions with spiculated margins can be indicative of diagnoses other than malignancy.

Keywords

Breast neoplasms Granular cell tumor Mammography Ultrasonography Magnetic resonance imaging

URI

http://hdl.handle.net/10400.10/2432

Citation

Radiol Bras. 2020 Mar-Apr;53(2):105-111

Publisher

Colegio Brasileiro De Radiologia

DOI

10.1590/0100-3984.2019.0056

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IMAG - Artigos publicados em revistas não indexadas

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