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1.
Radiographics ; 43(10): e230021, 2023 10.
Artículo en Inglés | MEDLINE | ID: mdl-37792595

RESUMEN

Contrast-enhanced mammography (CEM) involves addition of intravenous iodinated contrast material at digital mammography, thus increasing the ability to detect breast cancer owing to tumor contrast enhancement. After image acquisition, interpretation includes careful assessment of the technique, artifacts, and pitfalls and reporting with a standard lexicon category and appropriate follow-up recommendations. Artifacts and pitfalls that may cause image misinterpretation should be detected and distinguished from pathologic conditions. Different artifacts apparent on CEM images are usually caused during image acquisition and include CEM-specific and contrast agent-related artifacts, apart from the typical digital mammography artifacts. The pitfalls are related to technical and diagnostic difficulties. One disadvantage of CEM that MRI does not have is a technical factor related to a mammography technique that consists of blind spots that may not be included in the imaging field of mammography views, including the axilla, medial region of the breast, or areas close to the breast wall. Normal breast tissue enhancement called background parenchymal enhancement is also present at CEM and may affect interpretation performance. Diagnostic pitfalls are caused by minimally enhancing lesions, such as invasive lobular carcinomas and mucinous carcinomas, which are difficult to detect with CEM, resulting in false-negative findings. Benign lesions can show enhancement at CEM and represent false-positive lesions that should also be recognized. The authors discuss image interpretation of CEM studies and focus on the artifacts and pitfalls that may be encountered. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.


Asunto(s)
Artefactos , Neoplasias de la Mama , Humanos , Femenino , Mamografía/métodos , Neoplasias de la Mama/diagnóstico por imagen , Mama/diagnóstico por imagen , Medios de Contraste , Imagen por Resonancia Magnética/métodos
2.
J Clin Ultrasound ; 48(4): 222-226, 2020 May.
Artículo en Inglés | MEDLINE | ID: mdl-31859372

RESUMEN

Papillary endothelial hyperplasia (PEH) is an uncommon benign vascular proliferation appearing in soft tissues in different body areas including the breast, which may be related to radiation therapy. A 48-year-old woman previously treated for breast cancer with mastectomy followed by radiation therapy and reconstruction with an implant presented with a newly developing mass in the implant capsule. Pathological diagnosis was PEH. Imaging features of this rare entity are described, and lesions included in differential diagnosis are discussed.


Asunto(s)
Implantes de Mama , Neoplasias de la Mama/terapia , Carcinoma Intraductal no Infiltrante/terapia , Hemangioendotelioma/patología , Mastectomía , Radioterapia , Neoplasias Vasculares/patología , Diagnóstico Diferencial , Femenino , Hemangioendotelioma/diagnóstico por imagen , Hemangioendotelioma/cirugía , Humanos , Hiperplasia/patología , Imagen por Resonancia Magnética , Persona de Mediana Edad , Ultrasonografía Doppler , Neoplasias Vasculares/diagnóstico por imagen , Neoplasias Vasculares/cirugía
4.
AJR Am J Roentgenol ; 196(4): 897-904, 2011 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-21427343

RESUMEN

OBJECTIVE: The purpose of this essay is a quick and comprehensive review of dual-energy x-ray absorptiometry in the diagnosis of osteoporosis that shows how to achieve the best performance in three steps. CONCLUSION: The three-step procedure for dual-energy x-ray absorptiometry includes image acquisition emphasizing proper patient positioning and regions of interest; analysis, including areas to scan and detection of artifacts that should be excluded from the analysis and noted in the report because they can necessitate additional imaging; and interpretation of results.


Asunto(s)
Absorciometría de Fotón/métodos , Osteoporosis/diagnóstico por imagen , Artefactos , Densidad Ósea , Humanos , Posicionamiento del Paciente , Interpretación de Imagen Radiográfica Asistida por Computador
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