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Incidental detection of clinically unexpected breast lesions by computed tomography.
Monzawa, Shuichi; Washio, Tetsuo; Yasuoka, Rie; Mitsuo, Manabu; Kadotani, Yoichi; Hanioka, Keisuke.
Afiliación
  • Monzawa S; Akashi Municipal Hospital, Department of Radiology, Akashi City, Hyogo Shinko Hospital, Department of Radiology, Kobe city, Hyogo monzawas@cpost.plala.or.jp.
  • Washio T; Akashi Municipal Hospital, Department of Radiology, Akashi City, Hyogo.
  • Yasuoka R; Akashi Municipal Hospital, Department of Surgery, Akashi City, Hyogo.
  • Mitsuo M; Akashi Municipal Hospital, Department of Surgery, Akashi City, Hyogo.
  • Kadotani Y; Akashi Municipal Hospital, Department of Surgery, Akashi City, Hyogo.
  • Hanioka K; Akashi Municipal Hospital, Department of Pathology, Akashi City, Hyogo, 673-8558, Japan.
Acta Radiol ; 54(4): 374-9, 2013 May.
Article en En | MEDLINE | ID: mdl-23395815
ABSTRACT

BACKGROUND:

Increased use of computed tomography (CT) has resulted in greater detection of incidental breast lesions unrelated to the primary diagnostic inquiry.

PURPOSE:

To investigate the morphology and clinical significance of breast abnormalities detected incidentally by conventional CT. MATERIAL AND

METHODS:

A total of 2945 female patients underwent CT examinations of the body, including the chest, from May 2006 to April 2010. Two radiologists interpreted these CT scans independently and pointed out a mass or non-mass-like lesion as abnormalities in the breast. Patients who incidentally showed breast lesions on CT scans were identified by a computer-based search of the diagnostic reports and were enrolled in this study. The morphology and enhancement patterns of CT-detected breast lesions were evaluated according to BI-RADS-MRI.

RESULTS:

In total, 32 clinically unexpected abnormal breast lesions were found in 31 (1.1%) patients. Twenty-nine of the 32 lesions were detected by contrast-enhanced CT and three by unenhanced CT. Ten breast cancers were found in 10 patients (0.34%), which yielded the prevalence for malignancy of 31% (10/32). Invasive ductal carcinomas accounted for eight lesions, while two were ductal carcinomas in situ (DCIS). Nine lesions were depicted as a mass and one DCIS was a non-mass-like lesion. Good morphological predictors of breast cancers for a mass were an irregular shape, a lobulated shape, and an irregular margin. Benign lesions accounted for 22 lesions from 21 patients (0.71%). Of these, 13 lesions in 13 patients were depicted as a mass and nine lesions in nine patients as a non-mass-like lesion.

CONCLUSION:

Unexpected breast lesions can be identified as a mass or non-mass-like lesion on conventional chest CT scans. Among these, breast cancers that are not clinically apparent occur with considerable prevalence. We suggest that careful interpretation of the breast should be a routine part of CT examinations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Tomografía Computarizada por Rayos X Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Acta Radiol Año: 2013 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Tomografía Computarizada por Rayos X Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Revista: Acta Radiol Año: 2013 Tipo del documento: Article
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