Int J Stomatol

Inter J Stomatol ›› 2015, Vol. 42 ›› Issue (5): 531-534.doi: 10.7518/gjkq.2015.05.010

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Multivariate regression analysis on the prognosis of adenoid cystic carcinomas

Chen Qi   

  1. Dept. of Stomatology, Chengdu Third People’s Hospital, Chengdu 610031, China
  • Received:2014-12-14 Revised:2015-03-21 Online:2015-09-01 Published:2015-09-01

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Abstract:

Objective A study was conducted to analyze clinical factors influencing the prognosis of adenoid cystic carcinomas. Methods A total of 54 cases were retrospectively analyzed, and clinical factors influencing the prognosis of adenoid cystic carcinomas were selected. The data were statistically treated with Cox proportional hazard model for multivariate prognostic analysis. Results Basaloid pathological type, terminal TNM stage, preoperative never invasion, postoperative recurrence, and distant metastasis are risk factors that affect the long-term survival of patients, and can reduce their survival time after operation. Surgical operation plus radiotherapy/chemotherapy are protective factors for adenoid cystic carcinoma and can prolong the survival time of patients after operation. Conclusion Pathological type, clinical stage, nerve invasion, postoperative recurrence, distant metastasis, and therapeutic methods are important factors that affect the prognosis of adenoid cystic carcinoma. Multivariate regression analysis can help determine the relationship between clinical factors and the prognosis of adenoid cystic carcinomas

Key words: adenoid cystic carcinoma, prognosis, multivariate regression analysis


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