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1.
Radiol Case Rep ; 18(5): 1788-1792, 2023 May.
Artigo em Inglês | MEDLINE | ID: mdl-36923390

RESUMO

Invasive breast carcinoma of no special type (IBC-NST) with medullary pattern is an uncommon histologic type of invasive breast carcinoma. It is associated with high-grade, poorly differentiated tumor cells that form large sheets of irregular confluent tumor cells associated with a prominent lymphocytic infiltrate. Patients with IBC-NST with medullary pattern are often postmenopausal women with a high body mass index and multiparity. We report the case of a 71-year-old woman who presented for routine screening mammography and breast mass suspicious for malignancy, initially thought to be invasive ductal carcinoma with an associated prominent lymphoid infiltrate. However, it was ultimately diagnosed as IBC-NST with medullary pattern, and radiologic imaging (particularly ultrasound and mammography) along with pathology review were critical in making the diagnosis. We make the case of the importance of radiographic imaging in diagnosing this condition, as the prognosis of IBC-NST with medullary pattern is typically more favorable compared to IBC-NST.

2.
Abdom Radiol (NY) ; 46(1): 257-267, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-32632467

RESUMO

Carcinoma of Unknown Primary presenting primarily as hepatic metastases encompasses a dismal subgroup of tumors with a median survival of 5.9 months. Adenocarcinoma is the most common histological subtype identified upon biopsy and the primary tumor remains undetectable in the majority of cases despite extensive workup. It is important to have a validated and standardized algorithm to follow these tumors to avoid unnecessary tests, as the wishes and health status of the patient represent the principal concerns. The purpose of this paper is to briefly review the current literature on carcinoma of unknown primary with hepatic metastases and propose a standardized diagnostic approach.


Assuntos
Adenocarcinoma , Carcinoma , Neoplasias Hepáticas , Neoplasias Primárias Desconhecidas , Algoritmos , Humanos , Neoplasias Hepáticas/diagnóstico por imagem , Neoplasias Primárias Desconhecidas/diagnóstico por imagem
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