Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy

Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy

(1) Background: Acute oral mucositis is the most common side effect for nasopharyngeal carcinoma patients receiving radiotherapy. Improper or delayed intervention to severe AOM could degrade the quality of life or survival for NPC patients. An effective prediction method for severe AOM is needed for...

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Bibliographic Details
Main Authors: Yanjing Dong, Jiang Zhang, Saikt Lam, Xinyu Zhang, Anran Liu, Xinzhi Teng, Xinyang Han, Jin Cao, Hongxiang Li, Francis Karho Lee, Celia Waiyi Yip, Kwokhung Au, Yuanpeng Zhang, Jing Cai
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Cancers
Subjects:
multimodal data integration
radiomics
dosiomics
nasopharyngeal carcinoma
acute mucositis
Online Access:https://www.mdpi.com/2072-6694/15/7/2032

Internet

https://www.mdpi.com/2072-6694/15/7/2032

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