余梁, 刘影, 李兵. 基于FIGO2018的多模态MRI在子宫颈癌诊断及分期中的应用[J]. 蚌埠医科大学学报, 2023, 48(9): 1270-1273. DOI: 10.13898/j.cnki.issn.1000-2200.2023.09.021
    引用本文: 余梁, 刘影, 李兵. 基于FIGO2018的多模态MRI在子宫颈癌诊断及分期中的应用[J]. 蚌埠医科大学学报, 2023, 48(9): 1270-1273. DOI: 10.13898/j.cnki.issn.1000-2200.2023.09.021
    YU Liang, LIU Ying, LI Bing. Application of multimodal MRI based on FIGO2018 in diagnosis and staging of cervical cancer[J]. Journal of Bengbu Medical University, 2023, 48(9): 1270-1273. DOI: 10.13898/j.cnki.issn.1000-2200.2023.09.021
    Citation: YU Liang, LIU Ying, LI Bing. Application of multimodal MRI based on FIGO2018 in diagnosis and staging of cervical cancer[J]. Journal of Bengbu Medical University, 2023, 48(9): 1270-1273. DOI: 10.13898/j.cnki.issn.1000-2200.2023.09.021

    基于FIGO2018的多模态MRI在子宫颈癌诊断及分期中的应用

    Application of multimodal MRI based on FIGO2018 in diagnosis and staging of cervical cancer

    • 摘要:
      目的探讨基于FIGO2018分期标准的多模态MRI成像技术对子宫颈癌的诊断及分期价值。
      方法回顾性分析60例子宫颈癌病人资料,将多模态MRI分别与常规序列MRI及临床病理分期进行对照分析,比较诊断及分期上的准确性和一致性。
      结果多模态MRI对宫颈基质是否完整及宫颈管是否扩大的诊断优于常规MRI (P<0.01);MRI术前分期与临床病理分期结果一致性良好(Kappa值=0.773,P<0.01)。
      结论多模态MRI在子宫颈癌的诊断及分期中具有较高的精准度。

       

      Abstract:
      ObjectiveTo evaluate the diagnostic and staging value of multimodal MRI imaging based on FIGO2018 staging criteria for cervical cancer.
      MethodsThe data of 60 cases of cervical cancer patients were retrospectively analyzed,and the accuracy and consistency of diagnosis and staging of multimodal MRI were compared with that of conventional sequential MRI and clinicopathological staging.
      ResultsMultimodal MRI was superior to conventional MRI in diagnosing cervical matrix integrity and cervical canal enlargement (P<0.01).The preoperative MRI staging was in line with clinicopathological staging (Kappa value=0.773,P<0.01).
      ConclusionsMultimodal MRI has high accuracy in the diagnosis and staging of cervical cancer.

       

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