Treatment Strategies and Prognostic Factors in Patients with Stage T3 and T4 Laryngeal Carcinoma
10.3971/j.issn.1000-8578.2023.22.0725
- VernacularTitle:T3、T4期喉癌患者治疗策略选择及预后影响因素
- Author:
Liang LI
1
;
Renjie CHEN
;
Zuhua YU
Author Information
1. Department of Otolaryngology, Head and Neck Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China
- Publication Type:Research Article
- Keywords:
Laryngeal cancer;
Treatment strategy;
Prognosis;
Influencing factors;
Back propagation neural network model
- From:
Cancer Research on Prevention and Treatment
2023;50(3):258-263
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the selection of treatment strategies and prognostic factors for patients with stage T3 and T4 laryngeal carcinoma. Methods A total of 132 patients with stage T3 and T4 laryngeal cancer admitted to our hospital from March 2010 to March 2019 were retrospectively selected as research objects. According to the different treatment strategies, the patients were divided into simple surgery group (group A, 57 cases), simple chemoradiotherapy group (group B, 32 cases), and surgery combined with chemoradiotherapy group (group C, 43 cases). The general data and clinicopathological features of the three groups were compared, and a survival curve was drawn by the Kaplan–Meier method. The 3-year survival rates of the three groups were compared. Then, the same 132 patients were divided into survival and death groups. The clinical data of the two groups were compared, and the prognostic factors were analyzed by multivariate logistic regression. A back propagation (BP) neural network model was constructed, and its differentiation and accuracy were evaluated. Results The proportions and 3 year survival rates of patients with poor differentiation, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule in group C were significantly higher than those in groups A and B (P < 0.05). The 3 year survival rate of 132 patients was 68.94%(41/132). Poor differentiation, N2-N3 stage, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule were risk factors for death (P < 0.05), whereas surgery combined with radiotherapy and chemotherapy were protective factors (P < 0.05). The BP neural network model exhibited good discrimination and high accuracy. Conclusion Surgery combined with radiotherapy and chemotherapy can significantly improve survival rate in patients with poor differentiation, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule. Close attention should be paid to patients with stage N2-N3 in the formulation of reasonable treatment strategies.
