Development and validation of CT-based radiomics deep learning signatures to predict lymph node metastasis in non-functional pancreatic neuroendocrine tumors: a multicohort study

• Published in: EClinicalMedicine Vol. 65; p. 102269
• Main Authors: Gu, Wenchao, Chen, Yingli, Zhu, Haibin, Chen, Haidi, Yang, Zongcheng, Mo, Shaocong, Zhao, Hongyue, Chen, Lei, Nakajima, Takahito, Yu, XianJun, Ji, Shunrong, Gu, YaJia, Chen, Jie, Tang, Wei
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.11.2023
• Subjects: Deep learning; Lymph node metastasis; Non-functional pancreatic neuroendocrine tumor; Radiomics; Non-functional pancreatic neuroendocrine tumor; Deep learning; Lymph node metastasis; CT; Radiomics

Lymph node status is an important factor for the patients with non-functional pancreatic neuroendocrine tumors (NF-PanNETs) with respect to the surgical methods, prognosis, recurrence. Our aim is to develop and validate a combination model based on contrast-enhanced CT images to predict the lymph no...