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作 者:赵世俊[1] 吴宁[1,2] 郑容[2] 刘瑛[1,2] 张雯杰[2] 梁颖[2] 张瀚[2] 李小萌[2]
机构地区:[1]中国医学科学院 北京协和医学院肿瘤医院影像诊断科,北京100021 [2]中国医学科学院 北京协和医学院肿瘤医院PET-CT中心,北京100021
出 处:《癌症进展》2014年第2期205-211,共7页Oncology Progress
基 金:高等学校博士学科点专项科研基金(20101106110017);首都临床特色应用研究项目(Z131107002213015);北京希望马拉松专项基金(LC2010B34);国家重大仪器专项课题(201YQ1706710)
摘 要:目的探讨18F-FDG PET-CT SUVmax与非小细胞肺癌(non-small cell lung cancer,NSCLC)患者术后生存期的关系。方法回顾性分析167例行18F-FDG PET-CT检查并接受手术治疗的NSCLC患者的临床及随访资料。采用Kaplan-Meier法及Log-rank检验进行单因素生存分析,多因素生存分析采用Cox比例风险模型。结果单因素生存分析显示:SUVmax、性别、年龄、吸烟史、肿瘤部位、原发肿瘤大小、血清TM水平、组织学类型、分化程度及pTNM分期均是影响本组患者预后的因素(P<0.05);多因素生存分析显示:SUVmax、pTNM分期、肿瘤大小和年龄是影响本组患者术后生存期的独立预后因素(P<0.05)。结论原发灶SUVmax对预测NSCLC患者术后生存期具有重要的价值,是独立于pTNM分期之外的一个重要的预后因素。临床上相同TNM分期的患者可考虑根据SUVmax高低进行预后危险度分层,从而制订个体化的治疗方案来改善预后。Objective The study focused on the role of maximum standardized uptake value (SUVmaX ) on 18F-FDG PET-CT in predicting the outcome of patients with surgically treated NSCLC. Method One hundred sixty-seven NSCLC patients ( 110 males and 57 females, mean age 60. 4 years) were enrolled in this study. All patients underwent preoperative ISF-FDG PET-CT scan followed by curative surgery. The SUV gender, age, smoking history, tumor location, tumor size, tumor marker level, histologic type, differentiation grade and pTNM stage were analyzed for association with overall survival (OS) , using the log-rank test for univariate survival analysis and the Cox proportional hazards model for muhivari-ate analysis. Result For univariate analysis of overall survival ( OS), the SUV gender, age, smoking status, tumor location, primary tumor size, tumor marker level, histologie type, differentiation grade and pTNM stage were all signifi- cantly associated with outcome ( all P 〈0.05 ). For multivariate analysis, the SUVm~, pTNM stage, tumor size and age were all independent predictors for OS ( all P 〈0. 05). Conclusion The SUVmax of primary lesion is critical in predicting postoperative survival for NSCLC patients, and is an important prognostic factor independent of pTNM, which is considera- ble for risk stratification in patients with same TNM stage, so as to set up individualized therapy for better prognosis.
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