Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis

BackgroundAccurate detection of the histological grade of pancreatic neuroendocrine tumors (PNETs) is important for patients’ prognoses and treatment. Here, we investigated the performance of radiological image-based artificial intelligence (AI) models in predicting histological grades using meta-an...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Qian Yan, Yubin Chen, Chunsheng Liu, Hexian Shi, Mingqian Han, Zelong Wu, Shanzhou Huang, Chuanzhao Zhang, Baohua Hou
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-04-01
Subjects:	pancreatic neuroendocrine tumors meta-analysis radiomics machine learning deep learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1332387/full