PDF(Pubmed)
Abstract：
UNASSIGNED: To explore the value of 18F-fluordeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) semi-quantitative parameters of primary tumor combined with squamous cell carcinoma antigen (SCC-Ag) in predicting lymph node metastasis (LNM) of cervical cancer (FIGO 2018 stage I-II).
UNASSIGNED: A total of 65 patients with stage I-II cervical cancer underwent 18F-FDG PET/CT were included in our study. Comparing the primary tumor 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag between the LNM group and the non-LNM group. Logistic regression and receiver operating characteristic (ROC) were used to analyze the value of 18F-FDG PET/CT metabolic parameters and SCC-Ag in predicting LNM.
UNASSIGNED: There were 14 and 51 patients were classified as having LNM and NLNM. The semi-quantitative parameters, including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), the total lesion glycolysis (TLG), the metabolic tumor volume (MTV) of the tumor and SCC-Ag were all significantly higher in LNM than in NLNM (SUVmax, 16.07 ± 7.81 vs 11.19 ± 4.73, SUVmean, 9.16 ± 3.48 vs 6.29 ± 2.52, SUVpeak, 12.70 ± 5.26 vs 7.65 ± 3.26, MTV, 22.77 ± 12.36 vs 7.09 ± 5.21, TLG, 211.01 ± 154.25 vs 43.38 ± 36.17, SCC-Ag, 5.39 ± 4.56 vs 2.13 ± 2.50, all p<0.01). Logistic regression analysis showed that TLG was an independent predictor of LNM in stage I-II cervical cancer (OR 1.032, 95% CI 1.013-1.052, p<0.01). Moreover, the predictive value of TLG combined with SUVpeak and SCC-Ag increased and the area under the curve increased compared SUVpeak and SCC-Ag.
UNASSIGNED: 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag have promise for assessing LNM in stage I-II cervical cancer. TLG of primary tumor provides independent and increasing values in predicting LNM in stage I-II cervical cancer.
UNASSIGNED: A total of 65 patients with stage I-II cervical cancer underwent 18F-FDG PET/CT were included in our study. Comparing the primary tumor 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag between the LNM group and the non-LNM group. Logistic regression and receiver operating characteristic (ROC) were used to analyze the value of 18F-FDG PET/CT metabolic parameters and SCC-Ag in predicting LNM.
UNASSIGNED: There were 14 and 51 patients were classified as having LNM and NLNM. The semi-quantitative parameters, including the maximum standardized uptake value (SUVmax), the mean standardized uptake value (SUVmean), the peak standardized uptake value (SUVpeak), the total lesion glycolysis (TLG), the metabolic tumor volume (MTV) of the tumor and SCC-Ag were all significantly higher in LNM than in NLNM (SUVmax, 16.07 ± 7.81 vs 11.19 ± 4.73, SUVmean, 9.16 ± 3.48 vs 6.29 ± 2.52, SUVpeak, 12.70 ± 5.26 vs 7.65 ± 3.26, MTV, 22.77 ± 12.36 vs 7.09 ± 5.21, TLG, 211.01 ± 154.25 vs 43.38 ± 36.17, SCC-Ag, 5.39 ± 4.56 vs 2.13 ± 2.50, all p<0.01). Logistic regression analysis showed that TLG was an independent predictor of LNM in stage I-II cervical cancer (OR 1.032, 95% CI 1.013-1.052, p<0.01). Moreover, the predictive value of TLG combined with SUVpeak and SCC-Ag increased and the area under the curve increased compared SUVpeak and SCC-Ag.
UNASSIGNED: 18F-FDG PET/CT semi-quantitative parameters and SCC-Ag have promise for assessing LNM in stage I-II cervical cancer. TLG of primary tumor provides independent and increasing values in predicting LNM in stage I-II cervical cancer.
摘要：
■探讨18F-荧光脱氧葡萄糖正电子发射断层扫描/计算机断层扫描（18F-FDGPET/CT）半定量参数联合鳞状细胞癌抗原（SCC-Ag）预测宫颈癌淋巴结转移（LNM）的价值（FIGO2018I-II期）。
■本研究共纳入65例I-II期宫颈癌患者行18F-FDGPET/CT。比较LNM组和非LNM组原发性肿瘤18F-FDGPET/CT半定量参数和SCC-Ag。采用Logistic回归和受试者工作特征(ROC)分析18F-FDGPET/CT代谢参数和SCC-Ag对LNM的预测价值。
■有14和51例患者被分类为患有LNM和NLNM。半定量参数，包括最大标准化摄取值(SUVmax)，平均标准化摄取值(SUVmean)，峰值标准化摄取值(SUVpeak)，总病变糖酵解（TLG），LNM中肿瘤的代谢肿瘤体积（MTV）和SCC-Ag均明显高于NLNM（SUVmax，16.07±7.81vs11.19±4.73，SUVmean，9.16±3.48vs6.29±2.52，SUVpeak，12.70±5.26vs7.65±3.26，MTV，22.77±12.36vs7.09±5.21，TLG，211.01±154.25vs43.38±36.17，SCC-Ag，5.39±4.56vs2.13±2.50，均p<0.01）。Logistic回归分析显示TLG是I-II期宫颈癌LNM的独立预测因子(OR1.032,95%CI1.013-1.052,p<0.01)。此外，与SUVpeak和SCC-Ag相比，TLG联合SUVpeak和SCC-Ag的预测值增加，曲线下面积增加。
■18F-FDGPET/CT半定量参数和SCC-Ag有望评估I-II期宫颈癌的LNM。原发性肿瘤的TLG在预测I-II期宫颈癌中的LNM方面提供了独立且增加的值。
■本研究共纳入65例I-II期宫颈癌患者行18F-FDGPET/CT。比较LNM组和非LNM组原发性肿瘤18F-FDGPET/CT半定量参数和SCC-Ag。采用Logistic回归和受试者工作特征(ROC)分析18F-FDGPET/CT代谢参数和SCC-Ag对LNM的预测价值。
■有14和51例患者被分类为患有LNM和NLNM。半定量参数，包括最大标准化摄取值(SUVmax)，平均标准化摄取值(SUVmean)，峰值标准化摄取值(SUVpeak)，总病变糖酵解（TLG），LNM中肿瘤的代谢肿瘤体积（MTV）和SCC-Ag均明显高于NLNM（SUVmax，16.07±7.81vs11.19±4.73，SUVmean，9.16±3.48vs6.29±2.52，SUVpeak，12.70±5.26vs7.65±3.26，MTV，22.77±12.36vs7.09±5.21，TLG，211.01±154.25vs43.38±36.17，SCC-Ag，5.39±4.56vs2.13±2.50，均p<0.01）。Logistic回归分析显示TLG是I-II期宫颈癌LNM的独立预测因子(OR1.032,95%CI1.013-1.052,p<0.01)。此外，与SUVpeak和SCC-Ag相比，TLG联合SUVpeak和SCC-Ag的预测值增加，曲线下面积增加。
■18F-FDGPET/CT半定量参数和SCC-Ag有望评估I-II期宫颈癌的LNM。原发性肿瘤的TLG在预测I-II期宫颈癌中的LNM方面提供了独立且增加的值。
