Research progress of deep learning in prognosis and efficacy prediction of head and neck squamous cell carcinoma
10.19745/j.1003-8868.2025113
- VernacularTitle:深度学习在头颈部鳞状细胞癌预后及疗效预测中的应用综述
- Author:
Huan JIANG
1
;
Kai XIE
1
;
Xin-wei CHEN
1
;
Juan PENG
1
Author Information
1. 重庆医科大学附属第一医院放射科,重庆 400016
- Publication Type:Journal Article
- Keywords:
deep learning;
head and neck squamous cell carcinoma;
prognosis prediction;
efficacy prediction;
radiomics
- From:
Chinese Medical Equipment Journal
2025;46(6):97-104
- CountryChina
- Language:Chinese
-
Abstract:
The advantages of deep learning(DL)over the traditional imaging evaluation methods were introduced for tumor prognosis prediction and efficacy assessment.The research progress of DL applied in prognosis and efficacy prediction of head and neck squamous cell carcinoma was reviewed in terms of survival prediction,local recurrence and distant metastasis,cervical lymph node metastasis,therapeutic efficacy and molecular markers of tumors.The defficiencies of DL for prognosis and efficacy prediction of head and neck squamous cell carcinoma were explored,and the future research directions were envisioned.[Chinese Medical Equipment Journal,2025,46(6):97-104]
