| Title | CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor. |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Zhao, Z, Bian Y, Jiang H, Fang X, Li J, Cao K, Ma C, Wang L, Zheng J, Yue X, Zhang H, Wang X, Madabhushi A, Xu J, Jin G, Lu J |
| Journal | Academic radiology |
| Volume | 27 |
| Issue | 12 |
| Pagination | e272-e281 |
| Date Published | 2020 12 |
| ISSN | 1878-4046 |
| Keywords | Humans, Neoplasm Grading, Pancreatic Neoplasms, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed |
| Abstract | Tumor grading of nonfunctional pancreatic neuroendocrine tumors (NF-pNETs) determines the choice of clinical treatment and management. The pathological grade of pancreatic neuroendocrine tumors is usually assessed on postoperative specimens. The goal of our study is to establish a tumor grade (G) prediction model for preoperative G1/2 NF-pNETs using radiomics for multislice spiral CT image analysis. |
| DOI | 10.1016/j.acra.2020.01.002 |
| PDF Link | |
| Alternate Journal | Acad Radiol |
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