表观弥散系数与非小细胞肺癌预后分子生物学指标的相关性分析

Correlation of apparent diffusion coefficient with common prognostic molecular biological indicators of non-small cell lung cancer

目的探讨表观弥散系数(apparent diffusion coefficient,ADC)与非小细胞肺癌(non-small cell lung cancer,NSCLC)常见的预后分子生物学指标的相关性。方法 39例经病理证实为NSCLC的患者接受磁共振弥散加权成像(diffusion weighted imaging,DWI)检查,测量病变的ADC值。采用单因素方差分析及t检验分析不同生物学指标如血中癌胚抗原(cancer embryo antigen,CEA)、组织中Ki67、甲状腺转录因子1(thyroid transcription factor 1,TTF-1)、表皮生长因子受体(epidermal growth factor receptor,EGFR)之间ADC值的差异,采用Spearman相关系数分析ADC值与不同生物学指标的相关性。结果不同生物学指标CEA、Ki67、TTF-1、EGFR之间的ADC值差异均有统计学意义(P<0.01),且ADC值与上述预后相关的生物学指标均存在负相关(CEA:r=-0.77,P<0.001,Ki67:r=-0.58,P<0.001,TTF-1:r=-0.47,P=0.003,EGFR:r=-0.40,P=0.012)。结论 ADC值与NSCLC常见的预后分子生物学指标CEA、Ki67、TTF-1、EGFR存在负相关关系,ADC值较低往往提示CEA与Ki67水平较高,表明TTF-1阳性及EGFR突变可能。

common prognoshc Objective To analyze the correlation of molecular biological indicators of non-small apparent diffusion coefficient （ ADC ） with cell lung cancer （NSCLC）. Methods Thirty-nine patients with histopathologically conformed NSCLC admitted in the Department of Respiratory Diseases from April 2015 to September 2016 were recruited in this study. All the patients underwent diffusion weighted imaging （DWI）, ADCs were calculated based on DW images. Students＇ t test and single factor analysis of variance were applied to analyze the differences of ADCs in biological indicators, serum cancer embryo antigen （ CEA）, positive rate of Ki67, thyroid transcription factor 1 （ TTF-1 ）, and epidermal growth factor receptor （EGFR）. Spearman rank correlation was used to analyze the correlations of the ADCs with above indicators. Results The ADCs in different indicators, such as CEA, Ki67, TFF-1 and EGFR were significantly different （P 〈 0.01 ）. Negative correlations were found between ADCs and above biological indicators （ CEA ： r = - 0. 77, P 〈 0. 001 ; Ki67 ： r = - 0.58, P 〈 0. 001 ; TTF-1 ： r = - 0.47, P = 0. 003 ; EGFR： r = -0.40, P = 0. 012）. Conclusion indicators CEA, Ki67, TTF-1 and EGFR. Lower predict positive TTF-1 and EGFR mutations.