食管癌调强放疗肿瘤退缩规律及其临床价值分析

食管癌调强放疗肿瘤退缩规律及其临床价值分析

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时间:2019-03-06

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1、2010级硕士研究生毕业论文分类号:R735.1学校代码:10392学科专业代码:105113学号:2101003139福建医科大学硕士研究生毕业论文食管癌调强放疗肿瘤退缩规律及其临床价值分析PrimarytumorregressionduringIMRTtreatmentforesophagealcanceranditsclinicalvalueanalysis学位类型:临床医学硕士所在学院:第一临床医学院研究生:吕文龙学科、专业:肿瘤学导师:张纬建教授主任医师研究起止日期:2011年09月至2013年

2、01月答辩日期:2013年05月29日二○一三年五月12010级硕士研究生毕业论文22010级硕士研究生毕业论文目录中文摘要······················································································(·1)英文摘要······················································································(·3)英文缩略表····

3、················································································(5)正文····························································································(6)食管癌调强放射治疗肿瘤退缩规律及其临床价值分析…······················(6)引言························

4、································································(6)资料与方法···············································································(7)结果·······················································································(11)讨论······

5、·················································································(14)结论······················································································(·19)参考文献(论文)·····································································

6、·····(20)综述···························································································(23)综述参考文献···············································································(30)致谢··························································

7、·································(32)32010级硕士研究生毕业论文食管癌调强放射治疗肿瘤退缩规律及其临床价值分析中文摘要目的:本研究通过CT检查和食道数字造影摄片观察非手术食管癌患者调强放疗过程中原发灶肿瘤体积的变化情况,借此评价肿瘤退缩规律,并分析原发灶肿瘤体积(GTV)、肿瘤体积退缩率(VRR)、放疗前食管狭窄率、病变长度与近期疗效的关系,探讨食管癌调强放射治疗肿瘤退缩规律及其临床价值。方法:回顾性分析2010年6月至2011年6月于我院首诊并在我科行调强放射治疗

8、的29例非手术食管癌患者的临床及影像学资料,观察放疗前、放疗中(中位剂量32Gy时)及放疗结束时的CT与食管吞钡X线影像,分析病变类型、病灶长度、放疗前食管狭窄率,并测算不同时期患者的原发灶肿瘤体积变化情况,以[1]此观察放疗过程中原发肿瘤退缩的规律;并结合临床,采用万钧1989年提出的近期疗效X线评价标准,评价患者的近期疗效(放疗后3个月),并采用One-WayANOVA(单变量方差分析)单因素分析和Logistic多因素回

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