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食管癌IMRT中肿瘤及转移淋巴结大小对预后影响分析 被引量:3

Effects of gross tumor volume and positive lymph node volume on prognosis of intensity-modulated radiotherapy for esophageal squamous cell carcinoma
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摘要 目的 探讨GTV-T及GTV-LN对根治性同步放化疗食管鳞癌患者预后影响。方法 对肿瘤医院2012—2015年行根治性放疗的79例N1期食管鳞癌患者被纳入研究。利用Pinnacle3 9.0TPS计算GTV-T及GTV-LN,通过ROC评价GTV-LN/GTV-T在食管鳞癌的LR及DM预测中价值。结果 全组中位随访时间17.2个月。以GTV-LN/GTV-T测定值绘制ROC曲线,LR患者最佳诊断值为0.34,DM患者最佳诊断值为0.59。统计分析显示GTV-LN/GTV-T〈0.34和≥0.34患者LR分别为50%和8%(P〈0.01);GTV-LN/GTV-T〈0.59和≥0.59患者DM分别为11%和43%(P=0.003)。结论 GTV-LN/GTV-T或许能预测食管鳞癌患者LR及DM,关于GTV-LN/GTV-T进一步研究或许可以帮助食管鳞癌个体放化疗方案的选择。 Objective To analyze the effects of gross tumor volume (GTV-T) and positive lymph node volume (GTV-LN) on the prognosis of radical concurrent chemoradiotherapy for esophageal squamous cell carcinoma (ESCC). Methods A total of 79 patients with stage N1 ESCC undergoing radical radiotherapy in our hospital from 2012 to 2015 were enrolled as subjects. GTV-T and GTV-LN were calculated by the Pinnacle3 9.0 treatment planning system. The receiver operating characteristic (ROC) curves were used to evaluate the value of the GTV-LN/GTV-T ratio in the prediction of local recurrence (LR) and distant metastasis (DM) of ESCC. Results The median follow-up time was 17.2 months in all patients. The ROC curves were made using the GTV-LN/GTV-T ratio. The optimal cut-off values of GTV-LN/GTV-T ratio for predicting the risk of LR and DM were 0.34 and 0.59, respectively. The statistical analysis revealed that the LR rates were 50% and 8% in patients with GTV-LN/GTV-T ratios of〈0.34 and ≥0.34, respectively (P〈0.01), while the DM rates were 11% and 43% in patients with GTV-LN/GTV-T ratios of〈0.59 and ≥0.59, respectively (P=0.003). Conclusions The GTV-LN/GTV-T ratio may be a predictor of LR and DM in patients with ESCC. Further studies on the GTV-LN/GTV-T ratio may help to make personalized chemoradiotherapy strategies for patients with ESCC.
出处 《中华放射肿瘤学杂志》 CSCD 北大核心 2017年第12期1389-1393,共5页 Chinese Journal of Radiation Oncology
关键词 食管肿瘤 放化疗法 大体肿瘤体积 预后 Esophageal neoplasms/radiochemotherapy Gross tumor volume Prognosis
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