Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors

• Published in: Journal of magnetic resonance imaging Vol. 52; no. 4; pp. 1124 - 1136
• Main Authors: Bian, Yun, Zhao, Zengrui, Jiang, Hui, Fang, Xu, Li, Jing, Cao, Kai, Ma, Chao, Guo, Shiwei, Wang, Li, Jin, Gang, Lu, Jianping, Xu, Jun
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.10.2020; Wiley Subscription Services, Inc
• Subjects: Area Under Curve; Auditory discrimination; Cohort Studies; Confidence intervals; Decision analysis; Decision making; Field strength; Humans; Image contrast; Magnetic Resonance Imaging; Medical imaging; Neoplasm Grading; Neuroendocrine tumors; Pancreas; Pancreatic cancer; Pancreatic Neoplasms - diagnostic imaging; Radiomics; Regression analysis; Retrospective Studies; Statistical analysis; Statistical tests; Training; Tumors; Ultrasound; radiomics; magnetic resonance imaging; Neoplasm Grading; pancreas; neuroendocrine tumors
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.27176

Background Endoscopic ultrasound‐guided fine‐needle aspiration is associated with the accurate determination of tumor grade. However, because it is an invasive procedure there is a need to explore alternative noninvasive procedures. Purpose To develop and validate a noncontrast radiomics model for t...