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Abdominal Radiology

, Volume 44, Issue 2, pp 576–585 | Cite as

Textural analysis on contrast-enhanced CT in pancreatic neuroendocrine neoplasms: association with WHO grade

  • Chuangen Guo
  • Xiaoling Zhuge
  • Zhongqiu Wang
  • Qidong Wang
  • Ke Sun
  • Zhan FengEmail author
  • Xiao ChenEmail author
Article

Abstract

Purpose

Grades of pancreatic neuroendocrine neoplasms (PNENs) are associated with the choice of treatment strategies. Texture analysis has been used in tumor diagnosis and staging evaluation. In this study, we aim to evaluate the potential ability of texture parameters in differentiation of PNENs grades.

Materials and methods

37 patients with histologically proven PNENs and underwent pretreatment dynamic contrast-enhanced computed tomography examinations were retrospectively analyzed. Imaging features and texture features at contrast-enhanced images were evaluated. Receiver operating characteristic curves were used to determine the cut-off values and the sensitivity and specificity of prediction.

Results

There were significant differences in tumor margin, pancreatic duct dilatation, lymph nodes invasion, size, portal enhancement ratio (PER), arterial enhancement ratio (AER), mean grey-level intensity, kurtosis, entropy, and uniformity among G1, G2, and pancreatic neuroendocrine carcinoma (PNEC) G3 (p < 0.01). Similar results were found between pancreatic neuroendocrine tumors (PNETs) G1/G2 and PNEC G3. AER and PER showed the best sensitivity (0.86–0.94) and specificity (0.92–1.0) for differentiating PNEC G3 from PNETs G1/G2. Mean grey-level intensity, entropy, and uniformity also showed acceptable sensitivity (0.73–0.91) and specificity (0.85–1.0). Mean grey-level intensity was also showed acceptable sensitivity (91% to 100%) and specificity (82% to 91%) in differentiating PNET G1 from PNET G2.

Conclusions

Our data indicated that texture parameters have potential in grading PNENs, in particular in differentiating PNEC G3 from PNETs G1/G2.

Keywords

Pancreatic neuroendocrine neoplasms Grade Pancreatic neuroendocrine carcinoma Texture analysis Computed tomography 

Notes

Compliance with ethical standards

Funding

This study was supported by the Zhejiang Medical Science and Technology Project (2017KY331) and Primary Research & Development Plan of Jiangsu Province (BE2017772).

Disclosures

The authors do not have any possible conflicts of interest.

Ethical approval

This retrospective study was approved by the Institutional Review Board of the First Affiliated Hospital, College of Medicine Zhejiang University. For this retrospective study, the requirement of the formal consent was waived.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Radiology, The First Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
  2. 2.Department of Laboratory Medicine, The First Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouChina
  3. 3.Department of RadiologyThe Affiliated Hospital of Nanjing University of Chinese MedicineNanjingChina
  4. 4.Department of Pathology, College of Medicine, The First Affiliated HospitalZhejiang UniversityHangzhouChina

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