論文

査読有り 筆頭著者
2016年1月

Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI

EUROPEAN JOURNAL OF RADIOLOGY
  • Fumi Kato
  • ,
  • Kohsuke Kudo
  • ,
  • Hiroko Yamashita
  • ,
  • Jeff Wang
  • ,
  • Mitsuchika Hosoda
  • ,
  • Kanako C. Hatanaka
  • ,
  • Rie Mimura
  • ,
  • Noriko Oyama-Manabe
  • ,
  • Hiroki Shirato

85
1
開始ページ
96
終了ページ
102
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.ejrad.2015.10.018
出版者・発行元
ELSEVIER IRELAND LTD

Purpose: To compare the morphology and minimum apparent diffusion coefficient (ADC) values among breast cancer subtypes.
Methods: Ninety-three patients, who underwent breast MRI and collectively had 98 pathologically proven invasive carcinomas, were enrolled. Morphology was evaluated according to BIRADS-MRI. Minimum ADC was measured. Morphology and minimum ADC were compared among subtypes. Multivariate logistic regression analyses were used to identify the characteristics associated with different subtypes.
Results: Oval/round shape was significantly associated with triple-negative (TN) cancer (TN vs. non-TN: 90.9% vs. 45.2%; p = 0.0123). Rim enhancement was significantly less frequent in Luminal A (Luminal A vs. non-Luminal A: 34.2% vs. 76.1%; p = 0.0003). The minimum ADC of Luminal A was significantly higher than that of Luminal B (HER2-negative) (834 vs. 748 x 10(-6) mm(2)/s; p <0.025). The minimum ADC of the TN-special type was significantly higher than that of TN-ductal (997 vs. 702 x 10-6 mm2/s; p <0.025). On the multivariate analysis comparing the characteristics associated with Luminal A vs. Luminal B (HER2-negative), the internal enhancement characteristics of the mass and minimum ADC were significant factors.
Conclusion: Morphology and minimum ADC would be useful in distinguishing breast cancer subtypes. (C) 2015 Elsevier Ireland Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.ejrad.2015.10.018
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26724653
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000367357800012&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.ejrad.2015.10.018
  • ISSN : 0720-048X
  • eISSN : 1872-7727
  • PubMed ID : 26724653
  • Web of Science ID : WOS:000367357800012

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