Literature DB >> 19348850

Incidental breast masses detected by computed tomography: are any imaging features predictive of malignancy?

G Porter1, J Steel, K Paisley, R Watkins, C Holgate.   

Abstract

AIM: To review the outcome of further assessment of breast abnormalities detected incidentally by multidetector computed tomography (MDCT) and to determine whether any MDCT imaging features were predictive of malignancy.
MATERIAL AND METHODS: The outcome of 34 patients referred to the Primrose Breast Care Unit with breast abnormalities detected incidentally using MDCT was prospectively recorded. Women with a known diagnosis of breast cancer were excluded. CT imaging features and histological diagnoses were recorded and the correlation assessed using Fisher's exact test.
RESULTS: Of the 34 referred patients a malignant diagnosis was noted in 11 (32%). There were 10 breast malignancies (seven invasive ductal carcinomas, one invasive lobular carcinoma, two metastatic lesions) and one axillary lymphoma. CT features suggestive of breast malignancy were spiculation [6/10 (60%) versus 0/24 (0%) p=0.0002] and associated axillary lymphadenopathy [3/10 (33%) versus 0/20 (0%) p=0.030]. Conversely, a well-defined mass was suggestive of benign disease [10/24 (42%) versus 0/10 (0%); p=0.015]. Associated calcification, ill-definition, heterogeneity, size, and multiplicity of lesions were not useful discriminating CT features. There was a non-significant trend for lesions in involuted breasts to be more frequently malignant than in dense breasts [6/14 (43%) versus 4/20 (20%) p=0.11].
CONCLUSION: In the present series there was a significant rate (32%) of malignancy in patients referred to the breast clinic with CT-detected incidental breast lesions. The CT features of spiculation or axillary lymphadenopathy are strongly suggestive of malignancy.

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Year:  2009        PMID: 19348850     DOI: 10.1016/j.crad.2009.01.005

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  5 in total

1.  Incidental Breast Lesions Detected on Computed Thorax Tomography.

Authors:  Necdet Poyraz; Ganime Dilek Emlik; Suat Keskin; Havva Kalkan
Journal:  J Breast Health       Date:  2015-10-01

2.  Incidentally detected enhancing breast lesions on chest computed tomography.

Authors:  Wen-Chiung Lin; Hsian-He Hsu; Chao-Shiang Li; Jyh-Cherng Yu; Giu-Cheng Hsu; Cheng-Ping Yu; Tsun-Hou Chang; Guo-Shu Huang
Journal:  Korean J Radiol       Date:  2011-01-03       Impact factor: 3.500

3.  Costs associated with evaluation of incidental breast lesions identified on computed tomography.

Authors:  Dominik Schramm; Cholpan Jasaabuu; Andreas G Bach; Oliver Tennstedt; Rolf P Spielmann; Alexey Surov
Journal:  Br J Radiol       Date:  2015-12-09       Impact factor: 3.039

4.  Value of tomography in detecting breast masses and discriminating malign and benign lesions.

Authors:  Hatice Ayça Ata Korkmaz; Miraç İsmet Çakır; Eser Bulut; Sibel Kul
Journal:  Turk J Surg       Date:  2019-12-16

5.  Differentiation of Malignant and Benign Incidental Breast Lesions Detected by Chest Multidetector-Row Computed Tomography: Added Value of Quantitative Enhancement Analysis.

Authors:  Yu-Pang Lin; Hsian-He Hsu; Kai-Hsiung Ko; Chi-Ming Chu; Yu-Ching Chou; Wei-Chou Chang; Tsun-Hou Chang
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  5 in total

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