Incidental breast lesions detected on CT: what is their significance?

被引:54
|
作者
Moyle, P. [1 ]
Sonoda, L. [1 ]
Britton, P. [1 ]
Sinnatamby, R. [1 ]
机构
[1] Cambridge Univ Hosp, NHS Trust, Dept Radiol, Cambridge Breast Unit, Cambridge CB2 2QQ, England
来源
BRITISH JOURNAL OF RADIOLOGY | 2010年 / 83卷 / 987期
关键词
POSITIVE PREDICTIVE-VALUE; AXILLARY LYMPH-NODES; COMPUTED-TOMOGRAPHY; IMAGE QUALITY; FEATURES; CANCER; MAMMOGRAPHY; CARCINOMA; BENIGN;
D O I
10.1259/bjr/58729988
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
An increasing number of breast lesions are being detected incidentally on CT. The aim of this study was to investigate the rate of referrals to the breast unit for assessment of lesions identified on CT and the resulting yield of previously undiagnosed breast malignancies from this pathway. A retrospective review was undertaken of CT examinations conducted over a period of 14 years. All patients (with no previous history of breast cancer) whose report contained the keyword "breast" and who were referred to a specialist breast unit for assessment were reviewed. CT lesion morphology and enhancement pattern were identified and compared with the final diagnostic outcome. 70 patients were identified by retrospective analysis, yielding 78 incidental breast lesions, of which 22 (28.2%) were malignant (category B5). This gave a positive predictive value (PPV) for malignancy of 28.2%. The best morphological predictor of malignancy was spiculation (PPV, 76%) and irregularity (PPV, 58%), whereas calcification patterns (PPV, 36%) were diagnostically unhelpful. Malignant lesions were likely to be larger (mean, 28.5 mm) than benign lesions (mean, 20.2 mm; p<0.05). In conclusion, 30% of incidental breast lesions in this large series of patients proved to be unsuspected breast cancers, particularly irregular spiculated masses. Referral for formal triple assessment of CT-diagnosed breast lesions is worthwhile, and careful examination of the breast should be a routine part of CT examinations.
引用
收藏
页码:233 / 240
页数:8
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