title: Complex cystic lesions of the breast on ultrasonography: feature analysis and BI-RADS assessment.
abstract: OBJECTIVE
  To analyze the features of breast complex cystic lesions at ultrasonography (US) and to determine appropriate Breast Imaging Reporting and Data System (BI-RADS) categories and management recommendations for these lesions based on US findings with pathologic correlation.
  
  
  METHODS
  From July 2001 to June 2007, 152 consecutive pathologically proven complex cystic lesions on US were retrospectively reviewed. All lesions at US were evaluated for size, lesion characteristics, margins, and presence of abnormal axillary nodes. US features of lesions were classified into four types, and positive predictive values (PPVs) were calculated for each type. Clinical, imaging, and histopathological findings were reviewed.
  
  
  RESULTS
  Of the 152 lesions based on US appearance, 36 (24%) were classified as type I, 49 (32%) as type II, 28 (18%) as type III, and 39 (26%) as type IV. The PPVs for malignancy in each type were 14% for type I, 16% for type II, 14% for type III, and 41% for type IV. There was a significantly higher frequency of malignancy among lesions of type IV compared with the other three types (16/39=41% vs 5/36=14%, p=0.0089; 16/39=41% vs 8/49=16%, p=0.0098; and 16/39=41% vs 4/28=14%, p=0.018 [Chi-squared test]). Lesions with maximum diameter equal to or larger than 20mm, not circumscribed margins, or a mammographic finding of suspected malignancy had a high probability of malignancy (p<0.05 for each).
  
  
  CONCLUSIONS
  US is useful in evaluating the complex cystic lesions and in clarifying the indication for biopsy of these lesions. The four types of US classifications used in our study establish accepted benchmarks for these breast abnormalities when stratified according to BI-RADS categories.
authors.affiliation: Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taiwan, ROC. hsianhe@yahoo.com.tw
authors.forename: Hsian-He
authors.initials: HH
authors.lastname: Hsu
authors.forename: Jyh-Cherng
authors.initials: JC
authors.lastname: Yu
authors.forename: Herng-Sheng
authors.initials: HS
authors.lastname: Lee
authors.forename: Wen-Chiung
authors.initials: WC
authors.lastname: Lin
authors.forename: Wei-Chou
authors.initials: WC
authors.lastname: Chang
authors.forename: Ho-Jui
authors.initials: HJ
authors.lastname: Tung
authors.forename: Guo-Shu
authors.initials: GS
authors.lastname: Huang
authors.forename: Giu-Cheng
authors.initials: GC
authors.lastname: Hsu
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001707:Biopsy, Needle; D001941:Breast Diseases / Q000000981:diagnostic imaging* / Q000473:pathology; D001943:Breast Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology; D016009:Chi-Square Distribution; D003560:Cysts / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D016217:Ultrasonography, Mammary