Jiang Cheng-Zhi, Zheng Kai, Zhang Yan-Yin, Yang Jian, Ye Hui, Peng Xiang
Department of PET-CT Center, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Front Oncol. 2024 Jun 14;14:1278464. doi: 10.3389/fonc.2024.1278464. eCollection 2024.
To explore the value of F-fluordeoxyglucose positron emission tomography/computed tomography (F-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).
A total of 65 patients with stage I-II cervical cancer underwent F-FDG PET/CT were included in our study. Comparing the primary tumor F-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 F-FDG PET/CT metabolic parameters and SCC-Ag in predicting LNM.
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 <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, <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.
F-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.
探讨原发性肿瘤的氟代脱氧葡萄糖正电子发射断层扫描/计算机断层扫描(F-FDG PET/CT)半定量参数联合鳞状细胞癌抗原(SCC-Ag)在预测宫颈癌(国际妇产科联盟2018年分期I-II期)淋巴结转移(LNM)中的价值。
本研究纳入了65例行F-FDG PET/CT检查的I-II期宫颈癌患者。比较LNM组和非LNM组原发性肿瘤的F-FDG PET/CT半定量参数及SCC-Ag。采用Logistic回归和受试者工作特征(ROC)分析F-FDG PET/CT代谢参数及SCC-Ag在预测LNM中的价值。
14例和51例患者分别被分类为有LNM和无LNM。LNM组肿瘤的半定量参数,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)、代谢肿瘤体积(MTV)以及SCC-Ag均显著高于非LNM组(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,均P<0.01)。Logistic回归分析显示,TLG是I-II期宫颈癌LNM的独立预测因素(比值比1.032,95%置信区间1.013-1.052,P<0.01)。此外,与SUVpeak和SCC-Ag相比,TLG联合SUVpeak和SCC-Ag的预测价值增加,曲线下面积增大。
F-FDG PET/CT半定量参数及SCC-Ag在评估I-II期宫颈癌LNM方面具有前景。原发性肿瘤的TLG在预测I-II期宫颈癌LNM中提供了独立且增加的价值。