18F-FDG PET/CT原发灶代谢参数对非小细胞肺癌隐匿性淋巴结转移的预测价值
Value of 18F-FDG PET/CT metabolic parameters of primary lesions for predicting occult lymph node metastasis in non-small cell lung cancer
目的:探讨基于 18F-脱氧葡萄糖(FDG)PET/CT肿瘤原发灶代谢参数对非小细胞肺癌(NSCLC)隐匿性淋巴结转移(OLM)的预测价值。 方法:回顾性分析2013年1月至2018年12月于苏州大学附属第三医院行 18F-FDG PET/CT检查并于术前诊断为临床N0期(cN0)的183例患者[男72例,女111例,年龄(61.5±8.4)岁],所有患者于检查后3周内于本院行原发灶切除术及系统性淋巴结清扫术,依据术后有无淋巴结转移分为OLM阳性(OLM+)组及OLM阴性(OLM-)组。分析获得 18F-FDG PET/CT原发灶相关参数:原发灶最大径(D max)、原发灶位置、形态学特征、原发灶最大标准摄取值(SUV max)、平均标准摄取值(SUV mean)、肿瘤代谢体积(MTV)、病灶糖酵解总量(TLG)、原发灶SUV max-肝SUV mean比值(TLR max)、原发灶TLG-肝SUV mean比值(TLR TLG)。运用Mann-Whitney U检验、 χ2检验对各参数进行组间比较,采用logistic回归分析OLM的独立危险因素,采用受试者工作特征(ROC)曲线分析评估不同参数的诊断效能。 结果:183例患者中,25例(13.7%,25/183)存在OLM,共46枚淋巴结转移(N1淋巴结15枚,N2淋巴结31枚)。OLM+组原发灶D max[2.9(2.3,3.7)与2.3(1.7,2.8) cm]、分叶征[76.0%(19/25)与37.3%(59/158)]、原发灶SUV max[11.1(7.9,17.7)与4.7(2.3,9.2)]、TLG[41.5(10.2,91.1)与15.6(6.5,23.8) ml]、TLR max[4.7(3.5,7.6)与2.1(0.9,4.0)]、TLR TLG[18.1(5.0,44.3)与6.1(3.0,11.4) ml]均高于OLM-组( z值:-4.709~-3.247, χ2=13.190,均 P<0.05)。多因素logistic回归分析显示TLR max[比值比( OR)=15.145,95% CI:3.381~67.830, P<0.001]和D max( OR=3.220,95% CI:1.192~8.701, P=0.021)是OLM的独立危险因素。TLR max预测OLM ROC曲线下面积(AUC)最大(0.794),其阈值为3.12时诊断OLM的灵敏度、特异性、准确性、阳性预测值和阴性预测值分别为92.0%(23/25)、63.3%(100/158)、67.2%(123/183)、28.4%(23/81)和98.0%(100/102)。 结论:18F-FDG PET/CT原发灶代谢参数TLR max是NSCLC患者OLM的独立危险因素,其可灵敏预测NSCLC患者的OLM。
更多Objective:To investigate the predictive value of 18F-fluorodeoxyglucose (FDG) PET/CT metabolic parameters for occult lymph node metastasis (OLM) in non-small cell lung cancer (NSCLC). Methods:A total of 183 patients (72 males, 111 females; age (61.5±8.4) years) who underwent 18F-FDG PET/CT and preoperatively diagnosed with clinical N0 stage (cN0) in Third Affiliated Hospital of Soochow University from January 2013 to December 2018 were retrospectively enrolled. All patients underwent anatomical pulmonary resection with systematic lymph node dissections within 3 weeks after 18F-FDG PET/CT examinations. According to the presence or absence of lymph node metastasis, patients were divided into OLM positive (OLM+ ) group and OLM negative (OLM-) group. Parameters of primary lesions, such as the maximum diameter (D max), tumor sites, morphological features, maximum standardized uptake value (SUV max), mean standardized uptake value (SUV mean), metabolic total volume (MTV), total lesion glycolysis (TLG), tumor SUV max to liver SUV mean (TLR max), tumor TLG to liver SUV mean (TLR TLG) were analyzed. Mann-Whitney U test and χ2 test were used to compare the parameters between groups. Multivariable logistic regression was used to analyze the independent risk factors for OLM. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of different parameters. Results:Among 183 patients, 25 (13.7%, 25/183) of them were diagnosed as OLM. In OLM+ group, 46 lymph nodes were pathologically positive for metastasis, including 15 N1 disease and 31 N2 disease. D max (2.9(2.3, 3.7) vs 2.3(1.7, 2.8) cm), lobulation ((76.0%(19/25) vs 37.3%(59/158)), SUV max (11.1(7.9, 17.7) vs 4.7(2.3, 9.2)), TLG (41.5(10.2, 91.1) vs 15.6(6.5, 23.8) ml), TLR max (4.7(3.5, 7.6) vs 2.1(0.9, 4.0)) and TLR TLG (18.1(5.0, 44.3) vs 6.1(3.0, 11.4) ml) of the primary lesions in OLM+ group were significantly higher than those in OLM-group ( z values: from -4.709 to -3.247, χ2=13.190, all P<0.05). Multivariable logistic regression analysis showed that TLR max (odds ratio ( OR)=15.145, 95% CI: 3.381-67.830, P<0.001) and D max ( OR=3.220, 95% CI: 1.192-8.701, P=0.021) were independent risk factors for OLM. TLR max yielded the highest area under curve (AUC; AUC=0.794) with the threshold of 3.12, and the sensitivity, specificity, accuracy, positive predictive value and negative predictive value for predicting OLM were 92.0%(23/25), 63.3%(100/158), 67.2%(123/183), 28.4%(23/81) and 98.0%(100/102), respectively. Conclusions:TLR max of tumor is the independent risk factor for OLM in NSCLC patients. TLR max can sensitively predict OLM preoperatively in patients with NSCLC.
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