Correlation of computed tomography imaging features and pathological features of 41 patients with pancreatic neuroendocrine tumors

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

Research output: Contribution to journalArticle

7 Citations (Scopus)


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 (G1), 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 Gl, 11 as G2, and five as G3. Mean sizes of the Gl, 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 Gl 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 Gl tumors. If a PNET has atypical imaging features, possibility of malignancy should be considered.

Original languageEnglish
Pages (from-to)441-446
Number of pages6
Issue number138
Publication statusPublished - Mar 1 2015



  • Computed tomography
  • Neuroendocrine tumor
  • Pancreas
  • WHO

ASJC Scopus subject areas

  • Gastroenterology
  • Hepatology
  • Medicine(all)

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