論文

査読有り
2015年8月

Differential diagnosis of uterine smooth muscle tumors using diffusion-weighted imaging: correlations with the apparent diffusion coefficient and cell density

ABDOMINAL IMAGING
  • Akiko Tasaki
  • ,
  • Mina O. Asatani
  • ,
  • Hajime Umezu
  • ,
  • Katsunori Kashima
  • ,
  • Takayuki Enomoto
  • ,
  • Norihiko Yoshimura
  • ,
  • Hidefumi Aoyama

40
6
開始ページ
1742
終了ページ
1752
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s00261-014-0324-5
出版者・発行元
SPRINGER

The purpose of this study is to investigate the utility of the apparent diffusion coefficient (ADC) in differentiating benign and malignant uterine smooth muscle tumors classified by signal intensity (SI) on T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI), and to determine the correlation between ADC and tumor cell density. This retrospective study reviewed 168 lesions in 134 cases with pathologically confirmed uterine smooth muscle tumors, including 6 leiomyosarcomas and 3 smooth muscle tumors of uncertain malignant potential, and preoperative magnetic resonance imaging examinations performed between October 2009 and November 2012. T2WI and DWI were also performed for each subject. Tumors were then classified according to SI on T2WI and DWI relative to myometrial SI. The correlation between ADC and tumor cell density was also determined. In Group 1 (high on both T2WI/DWI), mean ADC was significantly lower for leiomyosarcoma (0.91 x 10(-3) mm(2)/s) than for leiomyoma (1.30 x 10(-3) mm(2)/s; p < 0.05) and mean cell density significantly higher for leiomyosarcoma (42.9%) than for leiomyoma (22.4%; p < 0.05). A strong negative correlation was seen between ADC and tumor cell density in Group 1 (Spearman, R = -0.72; p < 0.05). ADC may help to differentiate benign from malignant uterine smooth muscle tumors, particularly tumors with high SI on T2WI and DWI.

リンク情報
DOI
https://doi.org/10.1007/s00261-014-0324-5
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25526683
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000359435300043&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s00261-014-0324-5
  • ISSN : 0942-8925
  • eISSN : 1432-0509
  • PubMed ID : 25526683
  • Web of Science ID : WOS:000359435300043

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