Radiologists' performance for detecting lesions and the interobserver variability of automated whole breast ultrasound

  • Sung Hun Kim
  • , Bong Joo Kang
  • , Byung Gil Choi
  • , Jae Jung Choi
  • , Ji Hye Lee
  • , Byung Joo Song
  • , Byung Joo Choe
  • , Sarah Park
  • , Hyunbin Kim

    Research output: Contribution to journalArticlepeer-review

    44 Scopus citations

    Abstract

    Objective: To compare the detection performance of the automated whole breast ultrasound (AWUS) with that of the hand-held breast ultrasound (HHUS) and to evaluate the interobserver variability in the interpretation of the AWUS. Materials and Methods: AWUS was performed in 38 breast cancer patients. A total of 66 lesions were included: 38 breast cancers, 12 additional malignancies and 16 benign lesions. Three breast radiologists independently reviewed the AWUS data and analyzed the breast lesions according to the BI-RADS classification. Results: The detection rate of malignancies was 98.0% for HHUS and 90.0%, 88.0% and 96.0% for the three readers of the AWUS. The sensitivity and the specificity were 98.0% and 62.5% in HHUS, 90.0% and 87.5% for reader 1, 88.0% and 81.3% for reader 2, and 96.0% and 93.8% for reader 3, in AWUS. There was no significant difference in the radiologists' detection performance, sensitivity and specificity (p > 0.05) between the two modalities. The interobserver agreement was fair to good for the ultrasonographic features, categorization, size, and the location of breast masses. Conclusion: AWUS is thought to be useful for detecting breast lesions. In comparison with HHUS, AWUS shows no significant difference in the detection rate, sensitivity and the specificity, with high degrees of interobserver agreement.

    Original languageEnglish
    Pages (from-to)154-163
    Number of pages10
    JournalKorean Journal of Radiology
    Volume14
    Issue number2
    DOIs
    StatePublished - Mar 2013

    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

    • Breast
    • Observer variation
    • Ultrasonography

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