DCE-MRI联合IVIM-DWI预测早期宫颈癌盆腔淋巴结转移的价值OA北大核心CSTPCD
Value of DCE-MRI and IVIM-DWI in predicting pelvic lymph node metastasis from early cervical cancer
目的 探讨动态对比增强MRI(dynamic contrast-enhanced MRI,DCE-MRI)联合体素内不相干运动扩散加权成像(intravoxel incoherent motion diffusion-weighted imaging,IVIM-DWI)预测早期宫颈癌盆腔淋巴结转移(pelvic lymph node metastasis,PLNM)的价值.材料与方法 回顾性分析 124 例经病理证实为国际妇产科联盟(International Federation of Gynecology and Obstetrics,FIGO)ⅠB~ⅡA期宫颈癌患者的临床及影像资料,比较PLNM组与无PLNM组原发肿瘤DCE-MRI及IVIM-DWI定量参数的差异,采用多因素logistic回归分析确定独立危险因素,绘制受试者工作特征(receiver operating characteristic,ROC)曲线评估各参数诊断效能.结果 PLNM组容积转运常数(volume transfer constant,Ktrans;t=6.203,P<0.001)、灌注分数(perfusion fraction,f;t=3.944,P<0.001)、表观扩散系数(apparent diffusion coefficient,ADC;Z=4.393,P<0.001)、细胞外血管外间隙容积比(extravascular extracellular volume fraction,Ve;Z=2.312,P=0.021)低于无PLNM组,差异均有统计学意义,多因素logistic回归分析示Ktrans(P<0.001)、f(P=0.003)、ADC(P=0.031)是宫颈癌PLNM的独立危险因素,ROC曲线示Ktrans、f、ADC预测PLNM的曲线下面积(area under the curve,AUC)分别为0.808、0.707、0.745;与单一参数相比,三者联合预测PLNM的诊断效能最高,AUC为0.893,敏感度和特异度分别为82.4%、86.8%.结论 早期宫颈癌原发肿瘤DCE-MRI的Ktrans、Ve及IVIM-DWI的f、ADC有助于鉴别PLNM.独立危险因素Ktrans、f、ADC具有较高的预测价值,三者联合应用可进一步提高诊断效能.
Objective:To investigate the value of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and intravoxel incoherent motion diffusion-weighted imaging(IVIM-DWI)in predicting pelvic lymph node metastasis(PLNM)of early cervical cancer.Materials and Methods:Imaging and clinical data from 124 patients with FIGO ⅠB-ⅡA cervical cancer confirmed by pathology were retrospectively analyzed.The quantitative parameters obtained from DCE-MRI and IVIM-DWI of the primary tumor between the PLNM group and non-PLNM group were compared.Multivariate logistic analysis was used to determine the independent risk factors,and receiver operating characteristic(ROC)curve was drawn to evaluate the diagnostic performance of all parameters.Results:The volume transfer constant(Ktrans;t=6.203,P<0.001),perfusion fraction(f;t=3.944,P<0.001),apparent diffusion coefficient(ADC;Z=4.393,P<0.001)and extravascular extracellular volume fraction(Ve;Z=2.312,P=0.021)in the PLNM group were significantly lower than those in the non-PLNM group.Multivariate analysis showed that Ktrans(P<0.001),f(P=0.003)and ADC(P=0.031)were the independent risk factors of PLNM in cervical cancer.The ROC curves showed that the area under curve(AUC)of Ktrans,f,and ADC for predicting PLNM were 0.808,0.707 and 0.745,respectively.Compared with individual parameter,the combination of the three parameters achieved the highest diagnostic efficacy to predict PLNM with an AUC of 0.893,the sensitivity and specificity were 82.4%and 86.8%,respectively.Conclusions:Ktrans,Ve from DCE-MRI,f and ADC from IVIM-DWI of primary tumor are helpful in evaluating PLNM of early cervical cancer.The three independent risk factors of Ktrans,f,ADC have high predicting value,and their combination can further improve diagnostic efficiency.
徐晓倩;刘凤海;康立清
河北医科大学附属沧州市中心医院磁共振成像科,沧州 061000河北医科大学附属沧州市中心医院磁共振成像科,沧州 061000||沧州市中心医院磁共振成像科,沧州 061000
临床医学
宫颈癌淋巴结转移磁共振成像体素内不相干运动动态对比增强
cervical cancerlymph node metastasismagnetic resonance imagingintravoxel incoherent motiondynamic contrast-enhanced
《磁共振成像》 2024 (005)
141-147 / 7
Research and Development Program of Cangzhou City(No.183302016) 沧州市重点研发计划指导项目(编号:183302016)
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