JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

Differentiation of testicular seminomas from nonseminomas based on multiphase CT radiomics combined with machine learning: A multicenter study

  • 0Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
European Journal of Radiology +

|

March 9, 2024

|

March 9, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Differentiating testicular tumors is key for treatment. A new clinical-radiomics model accurately distinguishes between seminomas and nonseminomas using CT scans, aiding clinical decisions.

Area Of Science

  • Oncology
  • Radiology
  • Medical Imaging

Background

  • Accurate differentiation between seminomas and nonseminomas is critical for optimal treatment of testicular germ cell tumors (TGCTs).
  • Current diagnostic methods may require invasive procedures.
  • There is a need for noninvasive tools to aid in TGCT subtyping.

Purpose Of The Study

  • To develop and validate a clinical-radiomics model for differentiating seminomas from nonseminomas in TGCT patients.
  • To assess the diagnostic performance of the combined model compared to clinical and radiomics-only models.

Main Methods

  • A total of 221 TGCT patients were retrospectively analyzed across four hospitals.
  • Radiomics features were extracted from CT images and combined with clinical data.
  • Machine learning algorithms were employed to build and evaluate clinical, radiomics, and clinical-radiomics models.
  • Model performance was assessed using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA).

Main Results

  • The clinical-radiomics model exhibited superior discriminatory ability across training, validation, and test cohorts (AUCs: 0.918, 0.909, 0.839, respectively).
  • The combined model outperformed both the clinical-only and radiomics-only models.
  • DCA confirmed the clinical-radiomics model's greater net benefit in predicting tumor subtypes.

Conclusions

  • The developed clinical-radiomics model shows promise as a noninvasive tool for distinguishing between testicular seminomas and nonseminomas.
  • This model can provide valuable guidance for clinical treatment strategies in TGCT management.

Keywords: