title: New elastographic classification of breast lesions during and after compression.
abstract: OBJECTIVE
  Proposal for the classification of breast masses through ultrasound elastography in order to differentiate benign and malignant lesions with histological correlation.
  
  
  METHODS
  188 patients enrolled for percutaneous biopsy of 228 breast lesions. Elastography was performed and interpreted according to criteria created by the authors, with scores varying from 1 to 4 based on elasticity of images obtained upon release of compression. These results were compared with the histological results; elasticity scores of 1 and 2 were considered benign, a score of 3 as probably benign, and 4 as suspicious for malignancy. Positive predictive value, specificity, and diagnostic accuracy have been calculated. The results were evaluated using Fisher's exact test and the analysis of the receiver operating characteristic (ROC) curve to determine the association with the histological results, and diagnostic accuracy of the proposed classification.
  
  
  RESULTS
  The positive predictive value, specificity, and diagnostic accuracy of the scores were 76.5%, 95.9%, and 94.7%, respectively. Of 228 lesions tested, 26 tests yielded true positive results; 8 yielded false positive results; 190 true negative results; and 4 false negative results. There was association with the histological results by the Fisher method (P < 0.05) and an excellent area below the ROC curve of 0.954 (confidence range of 95%, 0.925-0.982).
  
  
  CONCLUSIONS
  The classification by elastography proposed by the authors can be used as an important tool combined with ultrasonographic studies for differentiating benign and malignant lesions of the breast.
authors.affiliation: Department of Radiology, Santa Casa de São Paulo, Brazil. edufleury@hotmail.com
authors.forename: Eduardo de Faria Castro
authors.initials: Ede F
authors.lastname: Fleury
authors.forename: Jose Carlos Vendramini
authors.initials: JC
authors.lastname: Fleury
authors.forename: Sebastiao
authors.initials: S
authors.lastname: Piato
authors.forename: Decio
authors.initials: D
authors.lastname: Roveda
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001941:Breast Diseases / Q000145:classification / Q000000981:diagnostic imaging* / Q000473:pathology; D001943:Breast Neoplasms / Q000145:classification / Q000000981:diagnostic imaging* / Q000473:pathology; D003937:Diagnosis, Differential; D054459:Elasticity Imaging Techniques / Q000592:standards*; D005260:Female; D006801:Humans; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D055815:Young Adult