18 F-FDG PET/CT代謝參數(shù)與EGFR突變在非小細胞肺癌患者中的相關(guān)性研究
發(fā)布時間:2024-09-23 20:19
目的:表皮生長因子受體(EGFR)突變靶向治療在非小細胞肺癌(NSCLC)治療中具有重要意義。既往研究發(fā)現(xiàn),18氟-氟代脫氧葡萄糖(18F-FDG)正電子發(fā)射計算機斷層掃描(PET/CT)代謝參數(shù)與EGFR突變狀態(tài)相關(guān),但研究結(jié)果尚存爭議。因此,本研究旨在探究18F-FDG PET/CT代謝參數(shù)與NSCLC患者EGFR突變的相關(guān)性,評估PET/CT代謝參數(shù)并結(jié)合患者臨床特征和血清腫瘤標志物預(yù)測EGFR突變的效能。方法:回顧性分析122例手術(shù)或活檢病理證實的NSCLC患者原發(fā)灶的治療前PET/CT代謝參數(shù),包括最大標準化攝取值(SUVmax)、平均標準化攝取值(SUVmean)、最大瘦體標準化攝取值(SULmax)、平均瘦體標準化攝取值(SULmean)、代謝體積(MTV)和糖酵解總量(TLG);并聯(lián)合患者臨床特征和腫瘤標志物,包括癌胚抗原(CEA)、細胞角蛋白19片段21-1(CYFRA21-1)、糖類抗原19-9(CA19-9)、糖類抗原125(CA125)及神經(jīng)元特異性烯醇化酶(NSE)等指標。通過單因素分析研究上述參...
【文章頁數(shù)】:126 頁
【學(xué)位級別】:博士
【文章目錄】:
摘要 ABSTRACT 主要縮寫語中英文對照 中文部分
緒論
第一部分 PET/CT代謝參數(shù)在NSCLC患者中與EGFR突變相關(guān)性的單因素分析.
1.1 引言
1.2 材料與方法
1.2.1 研究對象
1.2.2 儀器與方法
1.2.3 統(tǒng)計學(xué)處理
1.3 結(jié)果
1.3.1 NSCLC患者臨床特征與EGFR突變關(guān)系的單因素分析
1.3.2 NSCLC患者原發(fā)病灶PET/CT代謝參數(shù)與EGFR突變狀態(tài)的關(guān)系
1.3.3 腺癌患者原發(fā)病灶PET/CT代謝參數(shù)、臨床特征與EGFR突變狀態(tài)的亞組分析
1.3.4 不同分期NSCLC患者PET/CT參數(shù)與EGFR突變關(guān)系的亞組分析
1.3.5 NSCLC患者原發(fā)灶PET/CT參數(shù)與EGFR突變位點關(guān)系的亞組分析
1.4 討論
1.4.1 NSCLC患者臨床特征與EGFR的關(guān)系
1.4.2 NSCLC患者PET/CT代謝參數(shù)與EGFR的關(guān)系
1.4.3 肺腺癌患者原發(fā)灶PET/CT代謝參數(shù)與EGFR突變關(guān)系的亞組分析
1.4.4 不同分期NSCLC患者PET/CT參數(shù)與EGFR突變關(guān)系的亞組分析
1.4.5 NSCLC患者原發(fā)灶PET/CT參數(shù)與EGFR突變位點關(guān)系的亞組分析
1.5 總結(jié)
第二部分 PET/CT代謝參數(shù)在NSCLC患者中與EGFR突變相關(guān)性的多因素分析
2.1 引言
2.2 材料與方法
2.2.1 研究對象
2.2.2 儀器與方法
2.2.3 統(tǒng)計學(xué)處理
2.3 結(jié)果
2.3.1 變量的共線性分析
2.3.2 NSCLC患者EGFR突變預(yù)測因素的多因素Logistic回歸分析
2.3.3 SUVmax、SULmax預(yù)測NSCLC患者EGFR突變的截斷值及預(yù)測價值
2.3.4 結(jié)合NSCLC患者PET/CT參數(shù)及臨床特征的多因素模型對EGFR突變的預(yù)測價值
2.4 討論
2.4.1 NSCLC患者EGFR突變狀態(tài)的預(yù)測因素的多因素Logistic回歸分析
2.4.2 SUVmax及 SULmax預(yù)測EGFR突變的截斷值
2.4.3 SUVmax和 SULmax在預(yù)測EGFR突變中的價值的比較
2.4.4 結(jié)合NSCLC患者PET/CT參數(shù)及臨床特征的多因素模型對EGFR突變的預(yù)測價值
2.5 總結(jié)
第三部分 PET/CT代謝參數(shù)與腫瘤指標在NSCLC患者中與EGFR突變的相關(guān)性的研究
3.1 引言
3.2 材料與方法
3.2.1 研究對象
3.2.2 儀器與方法
3.2.3 統(tǒng)計學(xué)處理
3.3 結(jié)果
3.3.1 血清腫瘤標志物與EGFR突變關(guān)系的單因素分析
3.3.2 結(jié)合PET/CT代謝參數(shù)、臨床特征及腫瘤標志物與EGFR突變相關(guān)性的多因素分析
3.3.3 結(jié)合PET/CT代謝參數(shù)、臨床特征及腫瘤標志物對EGFR突變的多因素預(yù)測模型
3.4 討論
3.4.1 血清腫瘤標志物在非小細胞肺癌中的應(yīng)用
3.4.2 血清腫瘤標志物與EGFR突變的關(guān)系
3.4.3 PET/CT代謝參數(shù)結(jié)合血清腫瘤標志物預(yù)測NSCLC患者EGFR突變的多因素分析
3.4.4 本研究的不足之處
3.5 結(jié)論
總結(jié) 參考文獻 英文部分
Introduction
Part Ⅰ Univariate analysis of the correlation between PET/CT metabolic parameters and EGFR mutation in NSCLC patients
1.1 Background
1.2 Materials and Methods
1.2.1 Patients
1.2.2 Equipment and methods
1.2.3 Statistical analysis
1.3 Results
1.3.1 Univariate analysis of the relationship between clinical characteristics of NSCLC patients and EGFR mutation
1.3.2 Relationship between PET/CT metabolic parameters and EGFR mutation status in primary lesions of NSCLC patients
1.3.3 Subgroup analysis of PET/CT metabolic parameters, clinical characteristics and EGFR mutation status of primary lesions in adenocarcinoma patients
1.3.4 Subgroup analysis of the relationship between PET/CT parameters and EGFR mutation in NSCLC patients with different stages
1.3.5 Subgroup analysis of the relationship between primary PET/CT parameters and EGFR mutation sites in NSCLC patients
1.4 Discussion
1.4.1 Relationship between clinical characteristics of NSCLC patients and EGFR
1.4.2 Relationship between PET/CT metabolic parameters and EGFR in NSCLC patients
1.4.3 Subgroup analysis of the relationship between PET/CT metabolic parameters and EGFR mutation in primary lung adenocarcinoma patients
1.4.4 Subgroup analysis of the relationship between PET/CT parameters and EGFR mutation in NSCLC patients with different stages
1.4.5 Subgroup analysis of the relationship between primary PET/CT parameters and EGFR mutation types in NSCLC patients
1.5 Conclusion
Part Ⅱ multivariate analysis of the correlation between PET/CT metabolic parameters and EGFR mutation in NSCLC patients
2.1 Background
2.2 Materials and Methods
2.2.1 Patients
2.2.2 Equipment and methods
2.2.3 Statistical analysis
2.3 Results
2.3.1 Collinearity analysis of variables
2.3.2 Multivariate Logistic regression analysis of EGFR mutation predictors in NSCLC patients
2.3.3 SUVmax and SULmax predicted the cut-off value and predictive value of EGFR mutation in NSCLC patients
2.3.4 The predictive value of multivariate models combining PET/CT parameters and clinical characteristics of NSCLC patients for EGFR mutations
2.4 Discussion
2.4.1 Multivariate logistic regression analysis of independent predictors of EGFR mutation status in NSCLC patients
2.4.2 The cutoff value of SUVmax and SULmax in predicting EGFR mutation
2.4.3 Comparison of the value of SUVmax and SULmax in predicting EGFR mutations
2.4.4 predictive value of multivariate models combining PET/CT parameters and clinical characteristics of NSCLC patients for EGFR mutations
2.5 Conclusion
Part Ⅲ The association between PET/CT metabolic parameters and serum tumor markers in EGFR mutation of NSCLC patients
3.1 Intruduction
3.2 Materials and Methods
3.2.1 Patients
3.2.2 Equipment and methods
3.2.3 Statistical analysis
3.3 Results
3.3.1 Univariate analysis of the relationship between serum tumor markers and EGFR mutation
3.3.2 Multivariate analysis of PET/CT metabolic parameters combined with clinical characteristics and serum tumor markers in EGFR mutation
3.3.3 Combined with the multi-factor prediction model of PET/CT metabolic parameters, clinical characteristics and tumor markers for EGFR mutation
3.4 Discussion
3.4.1 Characteristics of expression of serum tumor markers in non-small cell lung cancer
3.4.2 Relationship of the level of serum tumor markers and EGFR mutations
3.4.3 Multivariate analysis of the prediction of EGFR mutation in lung cancer by PET/CT metabolic parameters and serum tumor markers
3.4.4 The shortcomings of this study
3.5 Conclusion
Summary 致謝 學(xué)術(shù)論文和科研成果 八年制學(xué)位論文要求
本文編號:4006123
【文章頁數(shù)】:126 頁
【學(xué)位級別】:博士
【文章目錄】:
摘要 ABSTRACT 主要縮寫語中英文對照 中文部分
緒論
第一部分 PET/CT代謝參數(shù)在NSCLC患者中與EGFR突變相關(guān)性的單因素分析.
1.1 引言
1.2 材料與方法
1.2.1 研究對象
1.2.2 儀器與方法
1.2.3 統(tǒng)計學(xué)處理
1.3 結(jié)果
1.3.1 NSCLC患者臨床特征與EGFR突變關(guān)系的單因素分析
1.3.2 NSCLC患者原發(fā)病灶PET/CT代謝參數(shù)與EGFR突變狀態(tài)的關(guān)系
1.3.3 腺癌患者原發(fā)病灶PET/CT代謝參數(shù)、臨床特征與EGFR突變狀態(tài)的亞組分析
1.3.4 不同分期NSCLC患者PET/CT參數(shù)與EGFR突變關(guān)系的亞組分析
1.3.5 NSCLC患者原發(fā)灶PET/CT參數(shù)與EGFR突變位點關(guān)系的亞組分析
1.4 討論
1.4.1 NSCLC患者臨床特征與EGFR的關(guān)系
1.4.2 NSCLC患者PET/CT代謝參數(shù)與EGFR的關(guān)系
1.4.3 肺腺癌患者原發(fā)灶PET/CT代謝參數(shù)與EGFR突變關(guān)系的亞組分析
1.4.4 不同分期NSCLC患者PET/CT參數(shù)與EGFR突變關(guān)系的亞組分析
1.4.5 NSCLC患者原發(fā)灶PET/CT參數(shù)與EGFR突變位點關(guān)系的亞組分析
1.5 總結(jié)
第二部分 PET/CT代謝參數(shù)在NSCLC患者中與EGFR突變相關(guān)性的多因素分析
2.1 引言
2.2 材料與方法
2.2.1 研究對象
2.2.2 儀器與方法
2.2.3 統(tǒng)計學(xué)處理
2.3 結(jié)果
2.3.1 變量的共線性分析
2.3.2 NSCLC患者EGFR突變預(yù)測因素的多因素Logistic回歸分析
2.3.3 SUVmax、SULmax預(yù)測NSCLC患者EGFR突變的截斷值及預(yù)測價值
2.3.4 結(jié)合NSCLC患者PET/CT參數(shù)及臨床特征的多因素模型對EGFR突變的預(yù)測價值
2.4 討論
2.4.1 NSCLC患者EGFR突變狀態(tài)的預(yù)測因素的多因素Logistic回歸分析
2.4.2 SUVmax及 SULmax預(yù)測EGFR突變的截斷值
2.4.3 SUVmax和 SULmax在預(yù)測EGFR突變中的價值的比較
2.4.4 結(jié)合NSCLC患者PET/CT參數(shù)及臨床特征的多因素模型對EGFR突變的預(yù)測價值
2.5 總結(jié)
第三部分 PET/CT代謝參數(shù)與腫瘤指標在NSCLC患者中與EGFR突變的相關(guān)性的研究
3.1 引言
3.2 材料與方法
3.2.1 研究對象
3.2.2 儀器與方法
3.2.3 統(tǒng)計學(xué)處理
3.3 結(jié)果
3.3.1 血清腫瘤標志物與EGFR突變關(guān)系的單因素分析
3.3.2 結(jié)合PET/CT代謝參數(shù)、臨床特征及腫瘤標志物與EGFR突變相關(guān)性的多因素分析
3.3.3 結(jié)合PET/CT代謝參數(shù)、臨床特征及腫瘤標志物對EGFR突變的多因素預(yù)測模型
3.4 討論
3.4.1 血清腫瘤標志物在非小細胞肺癌中的應(yīng)用
3.4.2 血清腫瘤標志物與EGFR突變的關(guān)系
3.4.3 PET/CT代謝參數(shù)結(jié)合血清腫瘤標志物預(yù)測NSCLC患者EGFR突變的多因素分析
3.4.4 本研究的不足之處
3.5 結(jié)論
總結(jié) 參考文獻 英文部分
Introduction
Part Ⅰ Univariate analysis of the correlation between PET/CT metabolic parameters and EGFR mutation in NSCLC patients
1.1 Background
1.2 Materials and Methods
1.2.1 Patients
1.2.2 Equipment and methods
1.2.3 Statistical analysis
1.3 Results
1.3.1 Univariate analysis of the relationship between clinical characteristics of NSCLC patients and EGFR mutation
1.3.2 Relationship between PET/CT metabolic parameters and EGFR mutation status in primary lesions of NSCLC patients
1.3.3 Subgroup analysis of PET/CT metabolic parameters, clinical characteristics and EGFR mutation status of primary lesions in adenocarcinoma patients
1.3.4 Subgroup analysis of the relationship between PET/CT parameters and EGFR mutation in NSCLC patients with different stages
1.3.5 Subgroup analysis of the relationship between primary PET/CT parameters and EGFR mutation sites in NSCLC patients
1.4 Discussion
1.4.1 Relationship between clinical characteristics of NSCLC patients and EGFR
1.4.2 Relationship between PET/CT metabolic parameters and EGFR in NSCLC patients
1.4.3 Subgroup analysis of the relationship between PET/CT metabolic parameters and EGFR mutation in primary lung adenocarcinoma patients
1.4.4 Subgroup analysis of the relationship between PET/CT parameters and EGFR mutation in NSCLC patients with different stages
1.4.5 Subgroup analysis of the relationship between primary PET/CT parameters and EGFR mutation types in NSCLC patients
1.5 Conclusion
Part Ⅱ multivariate analysis of the correlation between PET/CT metabolic parameters and EGFR mutation in NSCLC patients
2.1 Background
2.2 Materials and Methods
2.2.1 Patients
2.2.2 Equipment and methods
2.2.3 Statistical analysis
2.3 Results
2.3.1 Collinearity analysis of variables
2.3.2 Multivariate Logistic regression analysis of EGFR mutation predictors in NSCLC patients
2.3.3 SUVmax and SULmax predicted the cut-off value and predictive value of EGFR mutation in NSCLC patients
2.3.4 The predictive value of multivariate models combining PET/CT parameters and clinical characteristics of NSCLC patients for EGFR mutations
2.4 Discussion
2.4.1 Multivariate logistic regression analysis of independent predictors of EGFR mutation status in NSCLC patients
2.4.2 The cutoff value of SUVmax and SULmax in predicting EGFR mutation
2.4.3 Comparison of the value of SUVmax and SULmax in predicting EGFR mutations
2.4.4 predictive value of multivariate models combining PET/CT parameters and clinical characteristics of NSCLC patients for EGFR mutations
2.5 Conclusion
Part Ⅲ The association between PET/CT metabolic parameters and serum tumor markers in EGFR mutation of NSCLC patients
3.1 Intruduction
3.2 Materials and Methods
3.2.1 Patients
3.2.2 Equipment and methods
3.2.3 Statistical analysis
3.3 Results
3.3.1 Univariate analysis of the relationship between serum tumor markers and EGFR mutation
3.3.2 Multivariate analysis of PET/CT metabolic parameters combined with clinical characteristics and serum tumor markers in EGFR mutation
3.3.3 Combined with the multi-factor prediction model of PET/CT metabolic parameters, clinical characteristics and tumor markers for EGFR mutation
3.4 Discussion
3.4.1 Characteristics of expression of serum tumor markers in non-small cell lung cancer
3.4.2 Relationship of the level of serum tumor markers and EGFR mutations
3.4.3 Multivariate analysis of the prediction of EGFR mutation in lung cancer by PET/CT metabolic parameters and serum tumor markers
3.4.4 The shortcomings of this study
3.5 Conclusion
Summary 致謝 學(xué)術(shù)論文和科研成果 八年制學(xué)位論文要求
本文編號:4006123
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