Value of accurate diagnosis for metastatic supraclavicular lymph nodes in breast cancer: Assessment with neck us, ct, and18f-fdg pet/ct

  • Jeeyeon Lee
  • , Ho Yong Park
  • , Wan Wook Kim
  • , Chan Sub Park
  • , Ryu Kyung Lee
  • , Hye Jung Kim
  • , Won Hwa Kim
  • , Sang Woo Lee
  • , Shin Young Jeong
  • , Yee Soo Chae
  • , Soo Jung Lee
  • , Ji Young Park
  • , Jee Young Park
  • , Jin Hyang Jung

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

PURPOSE Neck ultrasonography (US), computed tomography (CT), and18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are all known to be useful imaging modalities for detecting supraclavicular lymph node (SCN) metastasis in breast can-cer. The authors compared the diagnostic values of neck US, CT, and PET/CT in the detection of SCN metastasis in breast cancer. METHODS SCN metastases identified in neck US, CT, or PET/CT during follow-up visits of patients with breast cancer were pathologically confirmed with the use of US-guided fine-needle aspiration cytology. The clinicopathological factors of the patients were analyzed, and the statistical parameters including sensitivity, specificity, positive and negative predictive values, false-posi-tive and false-negative rates, and accuracy of neck US, CT, and PET/CT were compared. RESULTS Among 32 cases of suspicious SCNs, 24 were pathologically confirmed as metastasis of breast cancer. The sensitivity of US + CT was 91.7%, which was the same as that of PET/CT, while the sensitivity rates of US alone and CT alone were 87.5% and 83.3%, respectively. Accuracy was 99.8% in PET/CT alone and 98.1% in US + CT. The false-negative rate was 0.1% in US + PET/CT, while it was 0.2% in PET/CT and US + CT, 0.3% in US alone and 0.4% in CT alone. CONCLUSION PET/CT can be the first choice for detecting SCN metastases in breast cancer. However, if PET/ CT is unavailable for any reason, US + CT could be a good second option to avoid false-neg-ative results.

Original languageEnglish
Pages (from-to)323-328
Number of pages6
JournalDiagnostic and Interventional Radiology
Volume27
Issue number3
DOIs
StatePublished - 2021

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

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