Predictors of Malignancy in Hyperechoic Breast Lesions

J Ultrasound Med. 2016 Apr;35(4):783-90. doi: 10.7863/ultra.15.05020. Epub 2016 Mar 11.

Abstract

Objectives: Hyperechogenicity has been strongly associated with benign breast lesions. Although it is correct in most cases, hyperechogenicity must not always be considered synonymous with benignancy, as hyperechoic breast cancers do occur. The purpose of this study was to review clinical and imaging characteristics of hyperechoic breast lesions, looking for features associated with malignancy.

Methods: Institutional Review Board approval was granted for this research. A total of 19,417 sonographic examinations were performed between January 2009 and June 2013. Among these, hyperechoic lesions with histologic diagnoses, stability on long-term followup, or characteristic imaging appearances were included in the study. The patients' clinical charts, mammograms, and sonograms were reviewed. The clinical and imaging features were recorded, and the data was analyzed by the χ(2) test, Fisher exact test, and independent-samples t test, looking for statistically significant predictors of malignancy.

Results: Among the 19,417 scans, 42 patients (0.2%) with 44 hyperechoic lesions were identified. Twenty-six lesions fulfilling the inclusion criteria were included in the study: 5 malignancies (3 invasive ductal carcinomas, 1 invasive lobular carcinoma, and 1 invasive mucinous cancer) and 21 benign lesions. An irregular shape, a nonparallel orientation, and noncircumscribed margins were significantly associated with the risk of malignancy (P = .002, .02, and .01, respectively).

Conclusions: A hyperechoic breast lesion must not always be assumed to be benign. Instead, a full sonographic assessment according to the American College of Radiology Breast Imaging Reporting and Data System descriptors is needed for correct characterization and avoidance of misdiagnosis.

Keywords: breast; breast ultrasound; hyperechoic; malignancy; sonography.

MeSH terms

  • Adult
  • Aged
  • Algorithms*
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / pathology
  • Diagnosis, Differential
  • Female
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Lebanon / epidemiology
  • Male
  • Middle Aged
  • Observer Variation
  • Prevalence
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Ultrasonography, Mammary / methods*
  • Ultrasonography, Mammary / statistics & numerical data*
  • Young Adult