| 孟楠,岳巍,王帅娜,段金辉,殷慧佳,韩东明.体素不相干运动多模型参数鉴别诊断宫颈癌并预判其病理类型[J].中国医学影像技术,2018,34(3):407~411 |
| 体素不相干运动多模型参数鉴别诊断宫颈癌并预判其病理类型 |
| Multiple model parameters of intravoxel incoherent motion in differential diagnosis of cervical carcinoma and pre-judgement of pathological types |
| 投稿时间：2017-05-02 修订日期：2017-10-26 |
| DOI：10.13929/j.1003-3289.201705003 |
| 中文关键词: 体素内不相干运动 子宫肿瘤 扩散磁共振成像 |
| 英文关键词:Intravoxel incoherent motion Uterine neoplasms Diffusion magnetic resonance imaging |
| 基金项目:河南省医学科技攻关计划项目（201503137）。 |
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| 中文摘要: |
| 目的 探讨体素不相干运动（IVIM）多模型参数鉴别诊断宫颈癌及预判其病理类型的可行性。方法 回顾性分析33例宫颈癌患者（宫颈癌组）和30例宫颈正常患者（宫颈正常组）的IVIM影像资料，分别测量单指数[标准扩散系数（ADC-stand）]、双指数[慢速扩散系数（ADC-slow）、快速扩散系数（ADC-fast）和扩散分数（f）]及拉伸指数模型参数值[分布扩散系数（DDC）和拉伸因子（α）]，比较宫颈癌组与宫颈正常组、宫颈癌不同病理类型以及不同病理分级间各参数值的差异；采用ROC曲线评价各参数值诊断阈值及效能。结果 宫颈癌组ADC-stand、ADC-slow、f、DDC及α值均低于宫颈正常组（P均< 0.05）。ADC-stand、ADC-slow、DDC、f及α值诊断宫颈癌的曲线下面积分别为0.93、0.94、0.96、0.94和0.93（P均< 0.05），诊断阈值分别为1.03×10-3 mm2/s、0.99×10-3 mm2/s、30.50%、1.21×10-3 mm2/s和0.699；宫颈鳞癌患者ADC-stand、ADC-slow、DDC值均低于宫颈腺癌患者（P均< 0.05），ADC-stand、ADC-slow、DDC值鉴别诊断宫颈鳞癌和腺癌的ROC曲线下面积分别是0.98、0.91和0.98（P均< 0.05），诊断阈值分别为1.11×10-3 mm2/s、0.81×10-3 mm2/s和0.98×10-3 mm2/s；宫颈鳞癌高、中、低分化间各参数值差异无统计学意义。结论 IVIM多模型参数可定量反映宫颈癌的组织学特征。 |
| 英文摘要: |
| Objective To investigate the feasibility of multiple model parameters of intravoxel incoherent motion (IVIM) in differential diagnosis of cervical carcinoma and its pathological types. Methods IVIM images of 33 patients with cervical cancer (cervical cancer group) and 30 patients with normal cervix (normal group) were retrospectively analyzed. The monoexponential model parameters (ADC-stand), biexponential model parameters (ADC-slow, ADC-fast, f) and stretched-exponential model values (distributed diffusion coefficient[DDC], α) were measured, respectively. Then the parameters were compared among the two groups, as well as among different pathological types and different pathological grades of cervical cancer. The thresholds and diagnostic efficiency of the parameter values were evaluated with ROC curve. Results ADC-stand, ADC-slow, f, DDC and α values of cervical cancer group were lower than those of normal group (all P < 0.05). The area under the ROC curve of ADC-stand, ADC-slow, DDC, f and α values in diagnosis of cervical cancer was 0.93, 0.94, 0.96, 0.94 and 0.93 (all P < 0.05), and the diagnostic thresholds were 1.03×10-3 mm2/s, 0.99×10-3 mm2/s, 30.50%, 1.21×10-3 mm2/s and 0.699, respectively. ADC-stand, ADC-slow and DDC values in cervical squamous cell carcinoma patients were lower than those of cervical adenocarcinoma patients (all P < 0.05). The area under the ROC curve of ADC-stand, ADC-slow and DDC values in differential diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma was 0.98, 0.91 and 0.98 (all P < 0.05), the diagnostic thresholds were 1.11×10-3 mm2/s, 0.81×10-3 mm2/s and 0.98×10-3 mm2/s, respectively. There was no significant difference of the parameters among high, moderate, low differentiation of cervical squamous cell carcinoma. Conclusion Multiple model parameters of IVIM can quantitatively reflect the histological features of cervical cancer. |
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