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Computed tomography Hounsfield units can predict breast cancer metastasis to axillary lymph nodes

  • Masakazu Urata
  • , Yuko Kijima
  • , Munetsugu Hirata
  • , Yoshiaki Shinden
  • , Hideo Arima
  • , Akihiro Nakajo
  • , Chihaya Koriyama
  • , Takaaki Arigami
  • , Yoshikazu Uenosono
  • , Hiroshi Okumura
  • , Kosei Maemura
  • , Sumiya Ishigami
  • , Heiji Yoshinaka
  • , Shoji Natsugoe

研究成果: ジャーナルへの寄稿学術論文査読

32   !!Link opens in a new tab 被引用数 (Scopus)

抄録

Background: Axillary lymph node (ALN) status is an important prognostic factor for breast cancer. We retrospectively used contrast-enhanced computed tomography (CE-CT) to evaluate the presence of ALN, metastasis based on size, shape, and contrasting effects.Methods: Of 131 consecutive patients who underwent CE-CT followed by surgery for breast cancer between 2005 and 2012 in our institution, 49 were histologically diagnosed with lymph node metastasis. Maximum Hounsfield units (HU) and mean HU were measured in non-contrasting CT (NC-CT) and CE-CT of ALNs.Results: Of 12 examined measurements, we found significant differences between negative and metastatic ALNs in mean and maximum NC-CT HU, and mean and maximum CE-CT HU (P < 0.05). We used a receiver operating curve, to determine cut-off values of four items in which significant differences were observed. The highest accuracy rate was noted for the cut-off value of 54 as maximum NC-CT HU for which sensitivity, specificity, and accuracy rate were 79.6%, 80.5% and 80.2%, respectively.Conclusions: CT HU of a patient with breast cancer are absolute values that offer objective disease management data that are not influenced by the screener's ability.

本文言語英語
論文番号730
ページ(範囲)1-8
ページ数8
ジャーナルBMC Cancer
14
1
DOI
出版ステータス出版済み - 30-09-2014
外部発表はい

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 遺伝学
  • 腫瘍学
  • 癌研究

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