Literature DB >> 18649871

The validity of complex breast cysts after surgery.

Muy-Kheng M Tea1, Christoph Grimm, Anneliese Fink-Retter, Diana Bikas, Regina Kroiss, Ernst Kubista, Teresa Wagner.   

Abstract

BACKGROUND: Breast cysts are the most common cause of benign breast masses. Simple breast cysts do not need further evaluation, but complex breast cysts require additional assessment due to the potential presence of malignancy. However, these complex cysts have rarely been examined and quantified according to the associated cancer detection rate. Our study is the first investigation to evaluate the malignancy rate of complex breast cysts identified by histopathological results.
METHODS: Imaging findings of complex cysts were correlated retrospectively with clinical and pathologic outcomes. We detected a malignancy rate of 14%. Sonographic criteria of a complex cyst such as thick cyst wall (P = .0006), lobulation (P = .01), and hyperechogenicity (P = .04) were predictive of neoplasm. Two or more criteria combined were associated with a 13.6-fold higher risk of malignancy (P <.0001).
CONCLUSION: Based on our results we reinforce the importance of adequate assessment of complex breast cysts to prevent a missed or delayed diagnosis of malignancy.

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Year:  2008        PMID: 18649871     DOI: 10.1016/j.amjsurg.2007.11.028

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  3 in total

Review 1.  Cystic breast masses and the ACRIN 6666 experience.

Authors:  Wendie A Berg; Alan G Sechtin; Helga Marques; Zheng Zhang
Journal:  Radiol Clin North Am       Date:  2010-09       Impact factor: 2.303

2.  Sonoelastography in distinguishing benign from malignant complex breast mass and making the decision to biopsy.

Authors:  Mi Young Kim; Nariya Cho; Ann Yi; Hye Ryoung Koo; Bo La Yun; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2013-07-17       Impact factor: 3.500

3.  Cystic breast lesions by conventional ultrasonography: sonographic subtype-pathologic correlation and BI-RADS Assessment.

Authors:  Man Chen; Wei Wei Zhan; Wen Ping Wang
Journal:  Arch Med Sci       Date:  2014-02-23       Impact factor: 3.318

  3 in total

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