摘要
目的 探讨多模态磁共振成像(Magnetic resonance imaging,MRI)在宫颈癌早期诊断及疗效评估中的价值。方法 回顾性选择2016年1月至2021年8月就诊的早期宫颈癌患者为研究对象(n=166),另抽取同期于本院参加健康体检的健康女性纳入正常组(n=166)。比较两组患者相关资料差异,采用多因素Logistic回归分析判定多模态MRI与早期宫颈癌的相关情况;根据多模态MRI特征指标建立早期宫颈癌的列线图预测模型,并采用ROC曲线评估列线图模型对早期宫颈癌的诊断能力;比较早期宫颈癌患者FIGO与多模态分期情况及治疗前后多模态MRI指标的差异。结果 早期宫颈癌组平均ADC值及最小ADC值小于正常组,DCE及非单相型占比高于正常组,差异具有统计学意义(P<0.05);基于多模态MRI特征指标构建的列线图模型对早期宫颈癌具有很强的诊断能力,其AUC值高达0.972(0.965~0.979);早期宫颈癌患者FIGO分期与多模态MRI分期一致率高达95.18%;治疗后早期宫颈癌患者平均ADC值和最小ADC值有所升高,DCE及非单相型占比均降低,差异具有统计学意义(P<0.05)。结论 多模态MRI特征指标均可用于鉴别早期宫颈癌患者并评价其治疗疗效;基于这些因素构建的列线图模型对早期宫颈癌具有很强的诊断能力;多模态MRI分期与FIGO分期高度一致。多模态MRI对早期宫颈癌具有诊断、分期及疗效评估价值。
Objective To explore the value of multimodal Magnetic resonance imaging(MRI)in early diagnosis and curative effect evaluation of cervical cancer.Methods Patients with early cervical cancer who visited our hospital from January 2016 to August 2021 were retrospectively selected as the study subjects(n=166),and healthy women who attended physical examination in our hospital during the same period were included in the normal group(n=166).The differences in the data of the two groups were compared,and the correlation between multimodal MRI and early cervical cancer was determined by multivariate Logistic regression analysis.According to the characteristics of multi-modal MRI,the prediction model of early cervical cancer was established and the diagnostic ability of the model was evaluated by ROC curve.FIGO and multimodal staging of patients with early cervical cancer and the differences of multimodal MRI indexes before and after treatment were compared.Results The average ADC value and minimum ADC value in the early cervical cancer group were lower than those in the normal group,and the proportion of DCE and non-monophasic type was higher than that in the normal group,the difference was statistically significant(P<0.05).The rosette model constructed based on the characteristic indexes of multi-modal MRI has strong diagnostic ability for early cervical cancer,and its AUC value is 0.972(0.965~0.979).The consistent rate of FIGO staging and multimodal MRI staging in patients with early cervical cancer was 95.18%.After treatment,the average ADC value and minimum ADC value of the patients with early cervical cancer increased,while the proportion of DCE and non-monasphase decreased,with statistical significance(P<0.05).Conclusion Multimodal MRI features can be used to identify patients with early cervical cancer and evaluate its therapeutic efficacy.The line graph model based on these factors has strong diagnostic ability for early cervical cancer.Multimodal MRI staging was highly consistent with FIGO staging.Multimodal MRI
作者
黑欢欢
冯忠波
张高飞
杨延延
HEI Huan-huan;FENG Zhong-bo;ZHANG Gao-fei;YANG Yan-yan(Imaging Department of the Second Affiliated Hospital of Xi'an Medical College,Xi'an 710038,Shaanxi Province,China;Imaging Department of Danfeng County Hospital in Shaanxi Province,Danfeng 726200,Shaanxi Province,China;Radiotherapy Department of Shaanxi Provincial People's Hospital,Xi'an 710068,Shaanxi Province,China)
出处
《中国CT和MRI杂志》
2023年第4期140-142,共3页
Chinese Journal of CT and MRI
关键词
多模态磁共振成像
早期宫颈癌
疗效评估
列线图模型
Multimodal Magnetic Resonance Imaging
Early Cervical Cancer
Curative Effect Evaluation
Nomogram Model
