title: Correlation of Ultrasonographic Findings and Pathologic Prognostic Predictions in Breast Cancer.
abstract: OBJECTIVE
  Increased technologic capabilities have allowed for the expanded use of ultrasound beyond simple differentiation of a lesion as solid versus cystic nature, allowing us to classify lesions into various categories based on a number of descriptive features. The purpose of this study was to investigate whether to predict the preoperative prognosis of breast cancer through the correlation between ultrasonographic images and the grade of malignancy.
  
  
  METHODS
  The patient population for this study consisted of 107 patients with infiltrative ductal carcinoma who were evaluated using ultrasound technology. Ultrasonographic findings were divided as follows: Type I, round or oval shape and regular border; Type II, partially round or oval shape and partially irregular border; and Type III, irregular shape and irregular border.
  
  
  RESULTS
  1. The frequency of grade 1 (G1) was significantly higher in the Type I group than the othergroups. 2. In the 2.0 cm sized mass, the lymph node metastasis rate was significantly lower in the Type I group than the other groups. 3. In all the groups, Estrogen receptor (ER) positivity was insignificant regardless of tumor size and type. 4. In the 2.0 cm sized mass, c-erbB-2 positivity was significantly lower in the Type I than the other groups. There was no clear difference among the three groups in tumors greater than 2.0 cm in size.
  
  
  CONCLUSIONS
  These results show that our classification of ultrasonographic images reflect the grade of malignancy in terms of clinicopathological features in breast cancers less than 2.0 cm in size. Therefore, ultrasonographic findings may help predict the preoperative prognosis in T1 size breast cancer, although further study is required.
authors.forename: H I
authors.initials: HI
authors.lastname: Seo
authors.forename: H S
authors.initials: HS
authors.lastname: Kwak
authors.forename: H J
authors.initials: HJ
authors.lastname: Jo
authors.forename: T Y
authors.initials: TY
authors.lastname: Jeon
authors.forename: Y T
authors.initials: YT
authors.lastname: Bae
authors.forename: M S
authors.initials: MS
authors.lastname: Sim
keywords: Breast neoplasm; Diagnosis; Pathology; Ultrasound