Feasibility and Efficiency of Double-Agent Versus Single-Agent Concurrent Chemoradiotherapy in Patients with Nasopharyngeal Carcinoma.
Oral Oncology(2020)
Guilin Med Univ
Abstract
Purpose: Concurrent chemoradiotherapy (CCRT) is the mainstay of treatment for nasopharyngeal carcinoma (NPC) patients. It remains unclear whether double-agent CCRT (d-CCRT) is more effective than single-agent CCRT (s-CCRT). In this study, we compared the treatment efficiency and toxicity of d-CCRT with s-CCRT in NPC patients. Methods and materials: Patients with stage II-IV NPC treated with d-CCRT or s-CCRT were retrospectively reviewed. The d-CCRT group patients were compared with s-CCRT group patients for overall survival (OS), locoregional relapse-free survival (LRRFS), disease-free survival (DFS), distant metastasis-free survival (DMFS) and toxicity. Differences in baseline characteristics were adjusted using the pair-matching method. Results: In this study, 933 patients who received CCRT for NPC between 2011 and 2014 were pair-matched at a 1:2 ratio (n = 311 for d-CCRT; n = 622 for s-CCRT). The d-CCRT treated patients showed no significant advantages in terms of 4-year OS (87.2% vs. 85.5%), DFS (84.1% vs. 79.5%), LRRFS (94.6% vs. 91.8%), DMFS (87.5% vs. 85.5%) compared with s-CCRT treated patients (P = 0.450, 0.106, 0.203, 0.366, respectively). Multivariate analysis showed that CCRT regimen had no significant effects on survival. In the d-CCRT group, the incidence of grade 3-4 hematological toxicities was significantly higher. Conclusions: The d-CCRT regimen did not confer significant survival benefits compared with the s-CCRT regimen in the treatment of stage II-IV NPC patients. Furthermore, patients treated with the d-CCRT regimen experienced greater hematological toxicity.
MoreTranslated text
Key words
Nasopharyngeal carcinoma,Concurrent chemoradiotherapy,Single-agent chemotherapy,Double-agent chemotherapy,Prognosis
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined