Chest CT of Incidental Breast Lesions

Yi, Jeong Geun; Kim, Seung Ja; Marom, Edith M.; Park, Jeong Hee; Jung, Sung Il; Lee, Min Woo

doi:10.1097/rti.0b013e318156eb52

Cited by 38 publications

(24 citation statements)

References 14 publications

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“…9 (17%) of 53 patients had abnormal ipsilateral axillary lymph nodes, with a longest-shortest axis diameter ratio of ,2 or an irregular or eccentric cortex [6]. Eight of these patients were subsequently found to have malignant lesions within the breast; however, only five patients had pathologically proven axillary lymph node metastases (see Figure 6), and, in three, the nodes were reactive or normal.…”

Section: Axillamentioning

confidence: 99%

“…It has long been known that CT can identify incidental breast lesions when imaging for cardiac or respiratory disease [4]. Previous review articles have described the appearances of incidental breast lesions found on CT [5][6][7], but there has been no formal quantitative assessment of the impact of incidental CT-diagnosed breast lesions. With implementation of the Department of Health Cancer Reform Strategies, including the age extension to the NHS Breast Screening Programme (NHSBSP) [8] and cancer pathway targets [9], the workload of breast assessment units is rising.…”

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confidence: 99%

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

Moyle¹,

Sonoda²,

Britton³

et al. 2010

BJR

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ABSTRACT. 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.

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Section: Axillamentioning

confidence: 99%

mentioning

confidence: 99%

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

Moyle¹,

Sonoda²,

Britton³

et al. 2010

BJR

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show abstract

“…It is important that radiologists should not overlook breast lesions on chest CT and they should be aware of CT appearances of malignant and benign breast lesions (4).…”

Section: Introductionmentioning

confidence: 99%

Detection of Breast Abnormalities on Enhanced Chest CT: Correlation with Breast Composition on Mammography

Cho

Kang

Shin

et al. 2017

J Korean Soc Radiol

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Purpose:To investigate the capability of enhanced chest computed tomography (CT) for detecting breast abnormalities and to assess the influence of breast composition on this detectability. Materials and Methods: From 2000 to 2013, 75 patients who underwent mammography, breast sonography, and enhanced chest CT within one month and had abnormalities on sonography were included. Detection rate of breast abnormality on enhanced chest CT was compared among 4 types of breast composition by the Breast Imaging Reporting and Data System. Contribution of breast composition, size and enhancement of target lesions to detectability of enhanced chest CT was assessed using logistic regression and chi-square test. Results: Of the 75 target lesions, 34 (45.3%) were detected on enhanced chest CT, corresponding with those on breast sonography; there were no significantly different detection rates among the 4 types of breast composition (p = 0.078). Breast composition [odds ratio (OR) = 1.07, p = 0.206] and enhancement (OR = 21.49, p = 0.998) had no significant effect, but size (OR = 1.23, p = 0.004) was a significant contributing factor influencing the detectability of enhanced chest CT for breast lesions. Conclusion: About half of the cases (45.3%) demonstrated breast lesions on chest CT corresponding with target lesions on sonography. Breast composition defined on mammography did not affect the detectability of enhanced chest CT for breast lesions. Index termsBreast Chest Multidetector Computed Tomography Ultrasound Mammography

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“…Although many women participate in breast screening programs, multidetector computed tomography (MDCT) often provides the first images of the breast when patients undergo chest MDCT for evaluation of pulmonary or cardiac disease (1)(2)(3)(4). Since an MDCT scan provides improved contrast resolution, a larger field of view, and has cross sectional capability, breast lesions may be viewed more easily with a MDCT scan (1,5,6).…”

Section: Introductionmentioning

confidence: 99%