术前两种新辅助化疗方式应用于乳腺癌的临床观察及其影响分析

Chinese and Foreign Medical Research（2019）

Cited 4|Views18

Abstract

目的:探讨术前两种新辅助化疗方案应用于乳腺癌患者的临床效果.方法:回顾性分析安徽医科大学第一附属医院2013年1月-2017年1月乳腺癌患者80例.其中使用表柔比星联合环磷酰胺的EC新辅助化疗方式的40例患者作为对照组,另外40例使用多西他赛注射液联合表柔比星及环磷酰胺的TEC新辅助化疗方式的患者作为观察组.每3周作为1个化疗周期,共化疗4个周期.比较两组患者的治疗效果及不良反应发生情况.结果:观察组患者新辅助化疗后治疗总有效率为77.50％,对照组新辅助化疗后治疗总有效率为55.00％,两组比较差异有统计学意义(P<0.05).新辅助化疗期间两组患者均发生白细胞数减少、恶心呕吐及肝肾功能损伤等不良反应,但两组比较差异无统计学意义(P>0.05).结论:术前两种新辅助化疗方式用于乳腺癌的临床疗效不同,加用多西他赛注射液药物的TEC新辅助化疗方式可以明显地提高乳腺癌患者的治疗效果,值得推广.

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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

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