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目的:研究n 18F-FDG PET/CT代谢参数预测非转移性直肠癌患者周围神经侵犯(PNI)的价值。n 方法:回顾性分析2012年8月至2020年4月间在青岛大学附属医院行PET/CT检查并于术后病理证实为直肠癌的81例患者(男51例，女30例，中位年龄63岁)资料。记录患者n 18F-FDG PET/CT代谢参数，包括SUVn max、肿瘤代谢体积(MTV)及病灶糖酵解总量(TLG)；记录患者临床病理因素，包括性别、年龄、癌胚抗原(CEA)及糖类抗原(CA)19-9水平、肿瘤最大径、分化程度、T分期、淋巴结转移及TNM分期。各参数在PNI阳性和阴性组间差异的比较采用Mann-Whitney n U检验或n χ2检验；采用多因素logistic回归分析PNI阳性的独立预测因素；采用ROC曲线分析其预测效能。n 结果:PNI阳性患者32例(39.51%，32/81)，PNI阴性患者49例(60.49%，49/81)。PNI阳性和阴性患者的T分期(n χ2＝10.73，n P＝0.010)、淋巴结转移(n χ2＝6.21，n P＝0.013)、TNM分期(n χ2＝7.61，n P＝0.022)、MTV[14.6(10.4，24.7)和9.0(5.4，14.5) cmn 3；n U＝-3.48，n P＝0.001]及TLG[108.588(72.749，182.707)和65.365(35.593，117.682) g；n U＝-2.79，n P＝0.005]差异均有统计学意义。多因素logistic回归分析结果示MTV是非转移性直肠癌患者PNI阳性的独立预测因素[比值比(n OR)＝1.130，95% n CI：1.025~1.245, n P＝0.014]；MTV最佳预测阈值为9.53 cmn 3，AUC为0.73，灵敏度和特异性分别为81.82%(27/33)和59.18%(29/49)。n 结论:18F-FDG PET/CT代谢参数MTV能够预测非转移性直肠癌PNI状态，且具有较高的灵敏度。n “,”Objective:To investigate the value of n 18F-FDG PET/CT metabolic parameters in predicting perineural invasion (PNI) in patients with non-metastatic rectal cancer.n Methods:From August 2012 to April 2020, 81 patients (51 males, 30 females, median age: 63 years) who received PET/CT examination and pathologically confirmed as rectal cancer in the Affiliated Hospital of Qingdao University were retrospectively analyzed. The n 18F-FDG PET/CT metabolic parameters including SUVn max, metabolic tumor volume (MTV) and total lesion glycolysis (TLG), and clinicopathological factors including gender, age, carcinoembryonic antigen (CEA), carbohydrate antigen (CA)19-9, maximum tumor diameter, degree of differentiation, T stage, lymph node metastasis, and TNM stage were recorded. Mann-Whitney n U test and n χ2 test were used to compare the differences of each parameter between PNI positive group and PNI negative group. Multivariate logistic regression was used to analyze the independent predictor of positive PNI. ROC curve was used to analyze its predictive efficacy.n Results:Of 81 patients, 32(39.51%) were PNI positive and 49(60.49%) were PNI negative. There were significant differences of T stage (n χ2=10.73, n P=0.010), lymph node metastasis (n χ2=6.21, n P=0.013), TNM stage (n χ2=7.61, n P=0.022), MTV (14.6(10.4, 24.7)and 9.0(5.4, 14.5) cmn 3; n U=-3.48, n P=0.001) and TLG (108.588(72.749, 182.707) and 65.365(35.593, 117.682) g; n U=-2.79, n P=0.005) between PNI positive group and PNI negative group. Multivariate logistic regression analysis showed that MTV was the independent predictor of positive PNI in non-metastatic rectal cancer patients (odds ratio (n OR)=1.130, 95% n CI: 1.025-1.245, n P=0.014). The optimal threshold of MTV was 9.53 cmn 3 and AUC was 0.73 with the sensitivity of 81.82%(27/33) and the specificity of 59.18%(29/49).n Conclusion:18F-FDG PET/CT metabolic parameter MTV can predict PNI in non-metastatic rectal cancer with high sensitivity.n