Breast Imaging-Reporting and Data System (BI-RADS) classification in 51 excised palpable pediatric breast masses

J Pediatr Surg. 2015 Oct;50(10):1746-50. doi: 10.1016/j.jpedsurg.2015.02.062. Epub 2015 Mar 7.

Abstract

Introduction: The American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) classification was developed to risk stratify breast lesions and guide surgical management based on imaging. Previous studies validating BI-RADS for US do not include pediatric patients. Most pediatric breast masses present as palpable lesions and frequently undergo ultrasound, which is often accompanied with a BI-RADS classification. Our study aimed to correlate BI-RADS with pathology findings to assess applicability of the classification system to pediatric patients.

Methods: We performed a retrospective review of all patients who underwent excision of a breast mass at a single center from July 2010 to November 2013. We identified all patients who underwent preoperative ultrasound with BI-RADS classification. Demographic data, imaging results, and surgical pathology were analyzed and correlated.

Results: A total of 119 palpable masses were excised from 105 pediatric patients during the study period. Of 119 masses, 81 had preoperative ultrasound, and BI-RADS categories were given to 51 masses. Of these 51, all patients were female and the average age was 15.9 years. BI-RADS 4 was given to 25 of 51 masses (49%), and 100% of these lesions had benign pathology, the most common being fibroadenoma.

Conclusions: Treatment algorithm based on BI-RADS classification may not be valid in pediatric patients. In this study, all patients with a BI-RADS 4 lesion had benign pathology. BI-RADS classification may overstate the risk of malignancy or need for biopsy in this population. Further validation of BI-RADS classification with large scale studies is needed in pediatric and adolescent patients.

Keywords: BI-RADS; Breast mass; Breast ultrasound; Fibroadenoma; Pediatric radiology.

MeSH terms

  • Adolescent
  • Algorithms
  • Biopsy
  • Breast Neoplasms / classification*
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / pathology
  • Child
  • Female
  • Fibroadenoma / classification
  • Fibroadenoma / diagnostic imaging
  • Fibroadenoma / pathology
  • Humans
  • Retrospective Studies
  • Ultrasonography, Mammary
  • Young Adult