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表观弥散系数在预测宫颈癌病理学特征中的应用价值 被引量:8

Value of Apparent Diffusion Coefficient in Predicting Main Pathological Features of Cervical Cancer
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摘要 [目的]应用高b值磁共振扩散加权成像(DWI)及表观弥散系数(ADC)分析宫颈癌相关病理学特征。[方法]49例病理证实的宫颈癌患者以及19人正常宫颈健康志愿者的常规MRI平扫、DWI、ADC图像,b值取700s/mm2,比较宫颈癌组与正常宫颈组ADC值。[结果]b=700s/mm2时正常宫颈黏膜层、结合带、肌层及宫颈全层ADC值分别为(1.717±0.132)×10^(-3)mm2/s、(1.391±0.106)×10^(-3)mm2/s、(1.956±0.217)×10^(-3)mm2/s、(1.613±0.145)×10^(-3)mm2/s,差异有统计学意义(P〈0.05)。宫颈癌组ADC值为(0.912±0.140)×10^(-3)mm2/s,显著性低于正常宫颈(P〈0.05)。鳞癌ADC值为(0.882±0.103)×10^(-3)mm2/s,腺癌ADC值为(1.047±0.165)×10^(-3)mm2/s,两组差异有统计学意义(t=-3.985,P=0.000)。角化性大细胞型组与非角化性大细胞型组ADC值差异无统计学意义。[结论]DWI及其量化参数ADC值有助于鉴别宫颈癌与正常宫颈以及评估宫颈癌的病理类型。 [Objective] To assess the application of high b value MR diffusion weighted imaging(DWI) and apparent diffusion coefficient(ADC) in prediction of pathological features in cervical cancer patients. [Methods] Data of MRI,DWI and ADC were collected from 49 cases of cervical cancer confirmed pathologically and 19 healthy subjects. The ADC values at b value of 700 s/mm2 were compared between cervical cancer patients and controls. And the correlation between ADC values and pathological features in cervical cancer patients was analyzed. [Results] At b value of700 s/mm2,the ADC values of normal mucosal layer,connective tissue layer,smooth muscle layer and full layer were(1.717±0.132)×10^(-3) mm2/s,(1.391±0.106) ×10^(-3) mm2/s,(1.956±0.217)×10^(-3) mm2/s,(1.613 ±0.145) ×10^(-3) mm2/s,respectively,and there was significant difference(P〈0.05). The ADC values of cervical cancer patients was(0.912 ±0.140) ×10^(-3) mm2/s,which was significantly lower than that of control group(P〈0.05). The ADC values of cervical squamous cell carcinoma and cervical adenocarcinoma were(0.882±0.103)×10^(-3) mm2/s and(1.047±0.165)×10^(-3) mm2/s(t=-3.985,P=0.000);while there was no significant difference in the ADC values between the keratinocyte and the non-keratinocyte in cervical squamous carcinoma. [Conclusion] DWI and its parameter ADC may differentiate the cervical cancer from normal cervical tissues and may be used to differentiate the different pathological types of cervical cancer.
作者 张露 张健 ZHANG Lu;ZHANG Jian(Jiamusi University,Jiamusi 154000,China;The First Affiliated Hospital of Jiamusi University,Jiamusi 154000,China)
出处 《肿瘤学杂志》 CAS 2018年第7期700-703,共4页 Journal of Chinese Oncology
关键词 宫颈癌 扩散加权成像 表观弥散系数 病理学特征 cervical cancer diffusion-weighted imaging apparent diffusion coefficient patho-logical features
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