Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort studyResearch in context

Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort studyResearch in context

Summary: Background: MRI is the routine examination to surveil the recurrence of nasopharyngeal carcinoma, but it has relatively lower sensitivity than PET/CT. We aimed to find if artificial intelligence (AI) could be competent pre-inspector for MRI radiologists and whether AI-aided MRI could perfo...

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Bibliographic Details
Main Authors: Pu-Yun OuYang, Yun He, Jian-Gui Guo, Jia-Ni Liu, Zhi-Long Wang, Anwei Li, Jiajian Li, Shan-Shan Yang, Xu Zhang, Wei Fan, Yi-Shan Wu, Zhi-Qiao Liu, Bao-Yu Zhang, Ya-Nan Zhao, Ming-Yong Gao, Wei-Jun Zhang, Chuan-Miao Xie, Fang-Yun Xie
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:EClinicalMedicine
Subjects:
Artificial intelligence
Diagnosis
Magnetic resonance imaging
Nasopharyngeal carcinoma
Recurrence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023003796

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http://www.sciencedirect.com/science/article/pii/S2589537023003796

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