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Nomogram combining dual-energy computed tomography features and radiomics for differentiating parotid warthin tumor

Zhiwei Gong1, Jianying Li2, Yilin Han1

  • 1Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Frontiers in Oncology
|March 19, 2025
PubMed
Summary

This study developed a nomogram combining dual-energy CT (DECT) quantitative parameters and radiomics to accurately differentiate pleomorphic adenomas (PA) and Warthin tumors (WT). The combined approach significantly improved diagnostic precision for these challenging parotid gland tumors.

Keywords:
combined nomogramdual-energy computed tomographyidentificationmachine learningparotid tumorradiomics

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Differentiating pleomorphic adenomas (PA) and Warthin tumors (WT) in the parotid gland is difficult due to overlapping imaging features.
  • Accurate diagnosis is crucial for appropriate patient management and treatment planning.

Purpose of the Study:

  • To evaluate a nomogram combining dual-energy computed tomography (DECT) quantitative parameters and radiomics.
  • To enhance the diagnostic precision for distinguishing PA from WT in the parotid gland.

Main Methods:

  • Retrospective analysis of 120 patients with pathologically confirmed PA or WT.
  • Extraction and analysis of DECT quantitative parameters (e.g., virtual monochromatic images, iodine concentration) and radiomic features.
  • Development and validation of combined DECT-radiomics models and a nomogram using logistic regression, SVM, and random forest.

Main Results:

  • The combined DECT-radiomics model achieved high diagnostic performance (AUCs up to 0.947 in the test set).
  • The nomogram demonstrated superior discrimination power compared to DECT features or radiomics alone.
  • Decision curve analysis indicated the nomogram provides the greatest net therapeutic benefit across various threshold probabilities.

Conclusions:

  • A nomogram integrating DECT quantitative parameters and radiomics is a promising non-invasive tool.
  • This approach significantly enhances diagnostic accuracy for differentiating parotid gland PA and WT.
  • The developed nomogram can aid clinicians in making more precise diagnoses in practice.