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Area of Science:

  • Medical Imaging
  • Radiomics
  • Oncology

Background:

  • Radiomics feature reproducibility is crucial for clinical use but is influenced by physiological and technical factors.
  • Dynamic contrast-enhanced (dce) CT and MRI are key imaging modalities for cancer assessment.
  • Understanding contrast agent timing effects is vital for stable radiomics analysis.

Purpose of the Study:

  • To evaluate the impact of contrast agent timing on radiomics feature stability in prostate and lung cancers.
  • To assess the influence of different contrast phases on radiomics data.
  • To determine the clinical relevance of temporal dynamics in dceCT and dceMRI.

Main Methods:

  • Radiomics features were extracted from dceCT and dceMRI datasets of prostate and lung cancer patients.
  • Linear mixed models identified features with significant differences across contrast phases.
  • An L2-penalized logistic regression classifier was employed for region-of-interest classification.

Main Results:

  • A substantial number of CT radiomics features (19,467 for prostate, 128 for lung) exhibited significant temporal dynamics.
  • MRI radiomics features also showed high temporal dependency (899 for prostate, 1027 for lung).
  • Classification accuracy of healthy versus tumor regions was highly dependent on contrast agent phase.

Conclusions:

  • Radiomics features derived from both CT and MRI are significantly influenced by individual contrast agent dynamics.
  • Interindividual variability in contrast enhancement patterns impacts feature stability.
  • These findings highlight the need to standardize contrast timing protocols for reliable radiomics in cancer imaging.