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食管癌患者肿瘤体积对T分期及预后的影响分析 被引量:4

Effect of Tumor Volume and Pathological T Staging on Prognosis of Esophageal Carcinoma
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摘要 目的探讨食管癌患者大体肿瘤体积(gross tumor volume,GTV)对T分期及预后的影响。方法收集198例行根治性切除治疗的食管癌患者的临床资料,观察不同GTV分级的病理T分期分布情况、5年生存情况以及局部区域复发率和远处转移率。结果 GTV分级与T分期总符合率为72.16%,一致性分析显示两者存在一致性(Kappa=0.402,P〈0.01)。随着GTV分级升高T分期逐渐增加,且相邻T分期GTV分布有重叠现象;随着GTV分级升高食管癌患者整体生存率呈逐渐下降趋势,差异具有统计学意义(χ~2=21.900,P=0.000)。GTVⅠ级组和Ⅱ级组1、3、5年生存率及平均生存时间均显著高于GTVⅢ级组,差异具有统计学意义(P〈0.05)。随着GTV分级升高食管癌患者整体局部区域复发率先下降后升高,差异具有统计学意义(χ~2=7.58,P=0.023);随着GTV分级升高食管癌患者整体远处转移率呈现逐渐升高趋势,但差异无统计学意义(χ~2=0.579,P=0.797)。结论随着食管癌患者GTV增大T分期逐渐增加,5年生存率逐渐下降,局部复发率和远处转移率逐渐增加。 Objective To explore the effect of gross tumor volume( GTV) and pathological T staging on prognosis of esophageal carcinoma. Methods 198 cases of patients with esophageal cancer were treated by radical resection. The pathological T staging,5-year survival,recurrence rate,and distant metastasis rate in different GTV classification were observed. Results The total consistent rate of GTV classification and pathological T staging was 72. 16%,there with consistency between them( Kappa =0. 402,P〈0. 01); The T staging gradually increased with GTV classification,adjacent T staging GTV distribution had overlap phenomenon; The overall survival rate was reduced with the increase of GTV classification( χ~2= 21. 900,P = 0. 000); The 1-,3-,5-year survival rates of GTV Ⅰ and Ⅱ and mean survival time were higher than GTV Ⅲ( P〈0. 05); The recurrence rate of overall local area reduced and then increased as GTV staging increased( χ~2= 7. 58,P = 0. 023); There was no significant difference in the distant metastasis rate( χ~2= 0. 579,P = 0. 797); The distant metastasis rate of GTV Ⅱ was lower than that of GTV Ⅲ( P〈0. 05). Conclusion The pathological T staging increases as GTV increases in patients with esophageal cancer,the 5-year survival rate reduces,local recurrence and distant metastasis rates increase.
出处 《实用癌症杂志》 2016年第1期117-119,共3页 The Practical Journal of Cancer
关键词 食管癌 大体肿瘤体积 T分期 预后 Esophageal cancer Gross tumor volume(GTV) T stage Prognosis
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