論文

査読有り
2015年3月

Correlation of Computed Tomography Imaging Features and Pathological Features of 41 Patients with Pancreatic Neuroendocrine Tumors

HEPATO-GASTROENTEROLOGY
  • Masashi Utsumi
  • ,
  • Yuzo Umeda
  • ,
  • Kosei Takagi
  • ,
  • Kuise Takashi
  • ,
  • Daisuke Nobuoka
  • ,
  • Ryuichi Yoshida
  • ,
  • Susumu Shinoura
  • ,
  • Hiroshi Sadamori
  • ,
  • Takahito Yagi
  • ,
  • Toshiyoshi Fujiwara

62
138
開始ページ
441
終了ページ
446
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.5754/hge14388
出版者・発行元
H G E UPDATE MEDICAL PUBLISHING S A

Background:/Aims: Pancreatic neuroendocrine tumors (PNET) are relatively rare. Here, we present clinical and pathological characteristics of PNETs to show a relationship between computed tomography (CT) imaging and the 2010 World Health Organization (WHO) classification. Methodology: We retrospectively reviewed the records of 41 PNET patients who were treated between 2002 and 2012. All tumors were classified as neuroendocrine tumor (NET) grade 1 (121), NET grade 2 (G2), or neuroendocrine carcinoma (NEC) grade 3 (G3) on the basis of the 2010 WHO classification system. Results: Twenty-five tumors were classified as G1, 11 as G2, and five as G3. Mean sizes of the G1, G2 and G3 tumors were 1.84 +/- 0.54, 4.90 +/- 0.84, and 5.62 +/- 1.18 cm, respectively, (P < 0.01). A PNET is typically hypervascular and exhibits contrast enhancement on enhanced CT. Higher percentage of G1 tumors demonstrated typical imaging and showed a significantly greater distinct mass compared with G2 and G3 tumors. Conclusions: Although PNET has many imaging features that appear on CT, G2 and G3 tumors often show atypical imaging features, particularly with large sizes and/or ill-defined features, when compared with G1 tumors. If a PNET has atypical imaging features, possibility of malignancy should be considered.

リンク情報
DOI
https://doi.org/10.5754/hge14388
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25916078
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000352115800038&DestApp=WOS_CPL
ID情報
  • DOI : 10.5754/hge14388
  • ISSN : 0172-6390
  • PubMed ID : 25916078
  • Web of Science ID : WOS:000352115800038

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