@article{ATM30386,
author = {Shida Yan and Tongtong Liu and Ying Li and Yongjian Zhu and Jun Jiang and Liming Jiang and Hong Zhao},
title = {Value of computed tomography evaluation in pathologic classification and prognosis prediction of gastric neuroendocrine tumors},
journal = {Annals of Translational Medicine},
volume = {7},
number = {20},
year = {2019},
keywords = {},
abstract = {Background: The study aims to investigate the correlation of CT characteristics with pathological classifications and the prognostic value of CT features in patients with gastric neuroendocrine neoplasms (g-NENs).
Methods: Ninety-one cases of pathologically diagnosed g-NENs, including 15 cases of well-differentiated neuroendocrine tumors (NETs) (G1 and G2) and 76 cases of poor-differentiated neuroendocrine carcinomas (NECs) (G3 and MANEC) were retrospectively studied. All cases were included in correlation analysis of CT characteristics with pathologic grades. Among them, 76 patients who had fulfilled follow-up data were included for overall survival (OS) and disease-free survival (DFS) analysis.
Results: CT characteristics that favor poor differentiation include tumor location (fundus and cardia), larger tumor size (>3.0 cm), infiltrative growth, unclear tumor margin, serosa involvement, ulceration and lymph node metastasis (P80% and specificities >60% to distinguish NECs from NETs. Through log-rank analysis, it was revealed that serosa involvement, cystic degeneration, necrosis, heterogeneous enhancement and lymph node metastasis led to worse DFS and OS for patients with g-NENs (P},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/30386}
}