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Area of Science:

  • Medical Imaging
  • Radiomics
  • Quantitative Analysis

Background:

  • Radiomics offers objective quantitative data from medical images.
  • Standardization, overfitting, and generalization are key challenges in radiomics.
  • Test-retest experiments identify robust radiomic features with minimal variation.

Purpose of the Study:

  • To determine if robust radiomic features are disease-specific or imaging device-specific.
  • To assess feature reproducibility in rectal cancer using computed tomography (CT) scans.
  • To compare test-retest results between rectal and lung cancer cohorts.

Main Methods:

  • Performed test-retest analysis on CT scans from 40 rectal cancer patients.
  • Assessed feature correlation using the concordance correlation coefficient (CCC).
  • Compared results with a test-retest analysis on CT scans from 27 lung cancer patients.

Main Results:

  • Only 9 out of 542 radiomic features showed a CCC > 0.85 in rectal cancer.
  • 446 out of 542 features had a higher CCC in lung cancer compared to rectal cancer.
  • Results underscore the importance of controlling scanners, protocols, reconstruction, and time points.

Conclusions:

  • Radiomic feature robustness may be disease-specific, not just CT-specific.
  • Test-retest analyses are essential before initiating radiomics studies.
  • Further research is needed to isolate the impact of individual factors on radiomics reproducibility.