Literature DB >> 26390421

Preoperative Identification of a Prognostic Factor for Pancreatic Neuroendocrine Tumors Using Multiphase Contrast-Enhanced Computed Tomography.

Suguru Yamada1, Tsutomu Fujii, Kojiro Suzuki, Yoshikuni Inokawa, Mitsuro Kanda, Goro Nakayama, Hiroyuki Sugimoto, Masahiko Koike, Shuji Nomoto, Michitaka Fujiwara, Akimasa Nakao, Yasuhiro Kodera.   

Abstract

OBJECTIVES: To find predictive factors among computed tomography (CT) findings to identify pancreatic neuroendocrine tumors G2 of World Health Organization classification.
METHODS: Thirty-seven patients with pancreatic neuroendocrine tumors underwent multiphase contrast enhanced CT (unenhanced, arterial, pancreatic, portal and equilibrium phase), and attenuation values and imaging findings were examined. A receiver operating characteristic curve analysis was performed, and association between imaging findings and World Health Organization classification was evaluated.
RESULTS: Mean CT attenuation value of NET G1 was significantly higher than that of NET G2 throughout the arterial, pancreatic, and portal phases. Receiver operating characteristic analysis according to tumor size revealed sensitivity: 83.3%, specificity: 92.0% and area under the curve (AUC): 0.853, whereas that of corrected true enhancement values in the pancreatic phase revealed sensitivity: 91.7%, specificity: 84.0% and AUC: 0.897, which showed the highest AUC. Specific CT findings, such as irregular tumor contour, vessel involvement, and cystic degeneration/necrosis, were significantly associated with NET G2, but not to the extent of CT attenuation value and tumor size.
CONCLUSIONS: The CT enhancement in the pancreatic phase, and irregularity, vessel involvement, and cystic degeneration/necrosis were significant predictors of NET G2. These parameters might help in differentiating between NET G1 and G2, providing a basis for appropriate treatment.

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Year:  2016        PMID: 26390421     DOI: 10.1097/MPA.0000000000000443

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  12 in total

1.  Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs.

Authors:  Yun Bian; Jing Li; Kai Cao; Xu Fang; Hui Jiang; Chao Ma; Gang Jin; Jianping Lu; Li Wang
Journal:  Abdom Radiol (NY)       Date:  2020-08-17

2.  A simple morphological classification to estimate the malignant potential of pancreatic neuroendocrine tumors.

Authors:  Atsushi Oba; Atsushi Kudo; Keiichi Akahoshi; Mitsuhiro Kishino; Takumi Akashi; Eriko Katsuta; Yasuhito Iwao; Hiroaki Ono; Yusuke Mitsunori; Daisuke Ban; Shinji Tanaka; Yoshinobu Eishi; Ukihide Tateishi; Minoru Tanabe
Journal:  J Gastroenterol       Date:  2017-05-09       Impact factor: 7.527

3.  Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors.

Authors:  Yun Bian; Zengrui Zhao; Hui Jiang; Xu Fang; Jing Li; Kai Cao; Chao Ma; Shiwei Guo; Li Wang; Gang Jin; Jianping Lu; Jun Xu
Journal:  J Magn Reson Imaging       Date:  2020-04-28       Impact factor: 4.813

4.  Neuroendocrine neoplasm of pancreas with cystic degeneration mimicking mucinous cystic neoplasm.

Authors:  Uayporn Kaosombatwattana; Yoshiki Hirooka; Hiroki Kawashima; Eizaburo Ohno; Takuya Ishikawa; Hiroki Suhara; Hidemi Goto
Journal:  Clin J Gastroenterol       Date:  2018-03-13

Review 5.  Imaging of pancreatic neuroendocrine tumors: recent advances, current status, and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2018-07-17       Impact factor: 4.512

6.  A New Preoperative Scoring System for Predicting Aggressiveness of Non-Functioning Pancreatic Neuroendocrine Neoplasms.

Authors:  Tetsuya Takikawa; Kazuhiro Kikuta; Shin Hamada; Kiyoshi Kume; Shin Miura; Naoki Yoshida; Yu Tanaka; Ryotaro Matsumoto; Mio Ikeda; Fumiya Kataoka; Akira Sasaki; Hidehiro Hayashi; Waku Hatta; Yohei Ogata; Kei Nakagawa; Michiaki Unno; Atsushi Masamune
Journal:  Diagnostics (Basel)       Date:  2022-02-03

7.  CT Enhancement and 3D Texture Analysis of Pancreatic Neuroendocrine Neoplasms.

Authors:  Mirko D'Onofrio; Valentina Ciaravino; Nicolò Cardobi; Riccardo De Robertis; Sara Cingarlini; Luca Landoni; Paola Capelli; Claudio Bassi; Aldo Scarpa
Journal:  Sci Rep       Date:  2019-02-18       Impact factor: 4.379

8.  Predicting the recurrence risk of pancreatic neuroendocrine neoplasms after radical resection using deep learning radiomics with preoperative computed tomography images.

Authors:  Chenyu Song; Mingyu Wang; Yanji Luo; Jie Chen; Zhenpeng Peng; Yangdi Wang; Hongyuan Zhang; Zi-Ping Li; Jingxian Shen; Bingsheng Huang; Shi-Ting Feng
Journal:  Ann Transl Med       Date:  2021-05

Review 9.  New Directions in Imaging Neuroendocrine Neoplasms.

Authors:  Julie Refardt; Johannes Hofland; Damian Wild; Emanuel Christ
Journal:  Curr Oncol Rep       Date:  2021-11-04       Impact factor: 5.075

10.  Differentiation of hypovascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography.

Authors:  Shuai Ren; Xiao Chen; Zhonglan Wang; Rui Zhao; Jianhua Wang; Wenjing Cui; Zhongqiu Wang
Journal:  PLoS One       Date:  2019-02-01       Impact factor: 3.240

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