摘要
目的:分析宫颈癌扩散加权成像特征及与病理相关性。方法:选取100例宫颈癌患者为观察组,100例健康志愿者为对照组,均接受磁共振检查。观察组患者均行病理学检查,并测定微血管密度。观察宫颈癌磁共振特征,并分析其与病理相关性。结果:1.磁共振共确诊宫颈癌97例,诊断符合率为97.0%。与病理分期比较,磁共振分期正确84例,正确率为84%。2.观察组宫颈癌病变区ADC值平均为(0.893±0.098)s/mm2,显著低于对照组的(1.623±0.132)s/mm2,差异具有统计学意义(P<0.05)。病理分期Ⅲ、Ⅳ其病变ADC值及MVD值显著低于Ⅰ、Ⅱ期病变,差异具有统计学意义(P<0.05)。经pearson相关分析,宫颈癌ADC值与MVD值间呈显著负相关(r=-0.502,P=0.011)。结论:在宫颈癌的诊断中,磁共振具有很高应用价值。宫颈癌病变于扩散加权成像呈高信号,其ADC值显著低于正常宫颈组织,且与MVD呈显著负相关。
Objective： To analyze the characteristics of cervical cancer and diffusion weighted imaging and pathologic correlation. Methods： 100 cases cervical cancer patients were chosen as the observation group, 100 healthy volunteers were chosen as control group, all underwent MRI examination. The observation group patients underwent pathological examination and determination of microvessel density. The magnetic resonance characteristics and its relationship with pathological correlation were observed. Results： 1.MR diagnosed 97 cases cervical cancer, diagnosis rate was 97.0%. Compared with pathological staging, MRI correctly staged 84 cases, the correct rate was 84%. 2. The mean ADC value of cervical lesions in observed group was （0.893 ± 0.098） s/mm2, significantly lower than the control （1.623±0.132） s/mm2, the difference had statistically significant （P〈0.05）. Pathological stage III, IV ADC value of the lesion and the MVD was significantly lower than Ⅰ , Ⅱstage disease, the difference was statistically significant （P〈0.05）. The pearson correlation analysis showed that cervical cancer between the ADC value and the value of MVD had significant negative correlation （r=-0.502, P=0.011）. Conclusion： In the diagnosis of cervical cancer, MRI has high application value. Cervical lesions on diffusion weighted imaging showed high signal ADC values were significantly lower than normal cervical tissue, and with the MVD was significantly negatively correlated.
出处
《现代生物医学进展》
CAS
2014年第27期5296-5298,共3页
Progress in Modern Biomedicine
关键词
磁共振
宫颈癌
微血管密度
扩散加权成像
Magnetic resonance
Cervical cancer
Microvessel density
Diffusion-weighted imaging
