Tian Shifeng, Liu Ailian, Zhu Wen, Li Ye, Chen Lihua, Chen Anliang, Shen Jiageng, Song Qingwei, Wei Qiang
Departments of *Radiology and †Pathology, the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Int J Gynecol Cancer. 2017 Oct;27(8):1708-1713. doi: 10.1097/IGC.0000000000001054.
This study aimed to elucidate the difference in diffusion-weighted magnetic resonance imaging (DWI) and diffusion tensor imaging (DTI) parameters between endometrioid endometrial adenocarcinoma (EEA) and uterine serous adenocarcinoma (SA).
Data of patients with pathologically confirmed EEA or SA who underwent DWI and DTI scanning between May 2013 and July 2016 were retrospectively analyzed. Apparent diffusion coefficient (ADC) value from DWI and ADC from DTI (ADC) map and fractional anisotropy (FA) values from DTI were analyzed and compared statistically. The correlation between ADC and ADC was analyzed by Pearson correlation analysis. Apparent diffusion coefficient, ADC, and FA between the 2 groups were compared using independent t test. The effect of ADC, ADC, and FA in distinguishing EEA and SA was evaluated by receiver operator characteristic curve.
Thirty-three patients were enrolled into the study, including 13 cases of SA and 20 cases of EEA. Pearson correlation analysis suggested that the value of ADC was highly related with ADC in both the SA group (r = 0.812, P = 0.001) and the EEA group (r = 0.858, P < 0.001). The value of ADC and ADC in the SA group was significantly lower than that in the EEA group; FA was significantly higher than that in the EEA group. Receiver operator characteristic curve analysis showed that ADC and ADC have high sensitivity and specificity; FA has low sensitivity and high specificity.
We suggest that both DWI and DTI could be used in distinguishing EEA from SA. Apparent diffusion coefficient and ADC possess potential diagnostic value with high sensitivity and specificity.
本研究旨在阐明子宫内膜样腺癌(EEA)与子宫浆液性腺癌(SA)在扩散加权磁共振成像(DWI)和扩散张量成像(DTI)参数上的差异。
回顾性分析2013年5月至2016年7月期间接受DWI和DTI扫描且病理确诊为EEA或SA的患者数据。分析并比较DWI的表观扩散系数(ADC)值、DTI的ADC图中的ADC值以及DTI的各向异性分数(FA)值,并进行统计学分析。采用Pearson相关分析ADC与ADC之间的相关性。使用独立t检验比较两组之间的表观扩散系数、ADC和FA。通过受试者工作特征曲线评估ADC、ADC和FA在区分EEA和SA中的作用。
33例患者纳入研究,其中SA 13例,EEA 20例。Pearson相关分析表明,SA组(r = 0.812,P = 0.001)和EEA组(r = 0.858,P < 0.001)中ADC值与ADC均高度相关。SA组的ADC和ADC值显著低于EEA组;FA显著高于EEA组。受试者工作特征曲线分析显示,ADC和ADC具有高敏感性和特异性;FA具有低敏感性和高特异性。
我们认为DWI和DTI均可用于区分EEA和SA。表观扩散系数和ADC具有较高的敏感性和特异性,具有潜在的诊断价值。