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Can Hounsfield units on chest CT characterize breast nodules as cystic or solid?
Capaccione, Kathleen; Desperito, Elise; Asiimwe, Arnold Caleb; Salvatore, Mary.
Afiliación
  • Capaccione K; Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Desperito E; Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Asiimwe AC; Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Salvatore M; Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
Article en En | MEDLINE | ID: mdl-38751680
ABSTRACT
We report the results of our retrospective analysis of the ability of standard chest computed tomography (CT) scans to correctly differentiate cystic from solid lesions. MModal Catalyst identified 27 women who had an ultrasound of the breast that was recommended because of a chest CT finding between January 1, 2010, and December 31, 2017. All images were reviewed by a radiologist fellowship trained in both breast imaging and cardiothoracic radiology (MS). Ultrasound characterization of lesion density as cystic or solid was considered the gold standard for this study. Analysis of CT scans was performed to identify lesions of interest corresponding to ultrasound abnormality; average, minimum, and maximum Hounsfield units (HUs) were measured. If masses had any solid component, they were considered solid. Twenty masses were solid, and 7 masses were cystic on ultrasound. Thirteen studies were performed without contrast and 14 were performed with contrast. On non-contrast studies, the average HU for cystic lesions was 19 compared to 38 HU for solid (P=0.007). On contrast studies, the average HU for cystic lesions was 16 compared to 53 HU for solid (P=0.002). Cystic lesions did not change with contrast significantly. Solid lesions enhanced with contrast; average HU 38 without contrast to 53 HU with contrast. Chest CT accurately diagnosed breast masses as cystic or solid with or without contrast.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Transl Breast Cancer Res Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Transl Breast Cancer Res Año: 2024 Tipo del documento: Article