Value of diffusion-weighted and dynamic contrast-enhanced MR in predicting parametrial invasion in cervical stromal

Jiacheng Song1, Qiming Hu2, Zhanlong Ma1

  • 1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210029, China.

Abstract

Insights

Dynamic contrast-enhanced (DCE) imaging parameters, combined with tumor size, show promise in detecting parametrial invasion (PMI) in early-stage cervical cancer. This combination offers improved accuracy over diffusion-weighted imaging (DWI) alone.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Parametrial invasion (PMI) is a critical prognostic factor in cervical cancer.
  • Accurate detection of PMI is essential for appropriate treatment planning and patient outcomes.

Purpose of the Study:

  • To compare the effectiveness of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging in detecting parametrial invasion (PMI).
  • To evaluate the utility of specific MRI parameters in identifying PMI in stage IB-IIA cervical cancers.

Main Methods:

  • Eighty-one patients with stage IB-IIA cervical cancer underwent preoperative MRI (DWI and DCE) and radical hysterectomy.
  • Analysis included preoperative clinical and MRI variables, focusing on Ktrans, Kep, Ve, apparent diffusion coefficient (ADC) values, and tumor dimensions.

Main Results:

  • DCE parameters (Ktrans, Kep, Ve) were significantly higher in patients with PMI.
  • Tumor craniocaudal dimensions were larger in the PMI-positive group.
  • The combination of tumor craniocaudal planes and Kepmin demonstrated the highest AUC (0.775) for detecting PMI.

Conclusions:

  • DCE imaging parameters, particularly Kep, combined with tumor craniocaudal dimensions, may serve as a prognostic indicator for PMI.
  • This combined approach shows potential for improved detection of parametrial invasion in cervical cancer.

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