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Evaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound

  • Yonsei University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Objectives To investigate the automated breast volume scanner (ABVS) in comparison with hand-held ultrasound (HHUS) according to the fifth edition of BI-RADS ultrasound. Material and methods A total of 831 lesions in 786 patients who underwent both HHUS and ABVS were included. Three radiologists independently evaluated the sonographic features of each lesion according to the fifth BI-RADS edition. The kappa coefficient (κ) was calculated for each BI-RADS descriptor and final assessment category. The accuracy of malignancy prediction and diagnostic performance of the BI-RADS descriptors were assessed using multivariate logistic regression and area under the receiver operator characteristic curve (AUC), respectively. Results ABVS and HHUS showed moderate to good interobserver agreement (κ = 0.53–0.67 and 0.55–0.70, respectively) except in associated features (κ = 0.31 and 0.36, respectively) for BI-RADS lexicons. Irregular shape, a non-circumscribed margin, and posterior features (combined or shadowing) were independently associated with malignancy in both ABVS and HHUS. Calcification presence on ABVS (odds ratio [OR], 95% confidence interval [CI]: 2.09, 1.11–3.94) and non-parallel orientation on HHUS (OR, 95% CI: 2.04, 1.10–3.78) were independently associated with malignancy. There were no significant differences between ABVS and HHUS in sensitivity (84.2% vs. 84.2%), specificity (80.5% vs. 83.9%), or AUC (0.88 vs. 0.90). Conclusions According to the fifth BI-RADS edition, ABVS is not statistically significantly different from HHUS with regard to interobserver variability and diagnostic performance.

Original languageEnglish
Pages (from-to)138-145
Number of pages8
JournalEuropean Journal of Radiology
Volume99
DOIs
StatePublished - 2018.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Automated breast volume scanner
  • Breast imaging reporting and data system
  • Breast neoplasms
  • Hand-held ultrasound
  • Mammary
  • Ultrasonography

Quacquarelli Symonds(QS) Subject Topics

  • Medicine

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