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ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.

Bin Liu1, Jianmei Liao2, Wenli Gu3

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Magnetic resonance imaging (MRI) combined with ADNEX improves ovarian cancer diagnosis and staging accuracy. This combined approach (ADNEX*MRI) shows superior performance compared to either method alone for clinical staging.

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Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Ovarian cancer diagnosis and staging are critical for effective treatment planning.
  • Magnetic Resonance Imaging (MRI) is a key imaging modality in gynecological oncology.
  • The ADNEX model is a diagnostic tool for assessing ovarian masses.

Purpose of the Study:

  • To investigate the role of MRI in ovarian cancer diagnosis within the ADNEX framework.
  • To compare the diagnostic and staging consistency of ADNEX, MRI, and their combination (ADNEX*MRI).
  • To evaluate the clinical utility of MRI-enhanced ADNEX for ovarian cancer staging.

Main Methods:

  • Retrospective analysis of 84 pathologically confirmed ovarian cancer patients (March 2017 - December 2019).
  • Comparison of diagnostic accuracy, sensitivity, specificity, and staging consistency using ADNEX, MRI, and ADNEX*MRI.
  • Statistical analysis using SPSS 26.0 to determine significant differences (p < 0.05).

Main Results:

  • ADNEX accuracy (78.6%) and sensitivity (93.2%) were comparable to MRI (accuracy 81.2%, sensitivity 89.4%).
  • ADNEX*MRI demonstrated significantly higher staging consistency (94.2%) compared to ADNEX (65.4%) and MRI (74%) alone (p < 0.05).
  • Significant differences in staging were observed between ADNEX*MRI and ADNEX, particularly in stages II and IV.

Conclusions:

  • Combining MRI with the ADNEX model significantly enhances the accuracy of ovarian cancer staging.
  • The integrated ADNEX*MRI approach offers superior performance over standalone ADNEX or MRI for clinical staging.
  • This combined diagnostic strategy provides valuable reference for improved clinical management of ovarian cancer.