Cancers (Mar 2022)

MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features

  • Abdalla Ibrahim,
  • Bruno Barufaldi,
  • Turkey Refaee,
  • Telmo M. Silva Filho,
  • Raymond J. Acciavatti,
  • Zohaib Salahuddin,
  • Roland Hustinx,
  • Felix M. Mottaghy,
  • Andrew D. A. Maidment,
  • Philippe Lambin

DOI
https://doi.org/10.3390/cancers14071599
Journal volume & issue
Vol. 14, no. 7
p. 1599

Abstract

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The reproducibility of handcrafted radiomic features (HRFs) has been reported to be affected by variations in imaging parameters, which significantly affect the generalizability of developed signatures and translation to clinical practice. However, the collective effect of the variations in imaging parameters on the reproducibility of HRFs remains unclear, with no objective measure to assess it in the absence of reproducibility analysis. We assessed these effects of variations in a large number of scenarios and developed the first quantitative score to assess the reproducibility of CT-based HRFs without the need for phantom or reproducibility studies. We further assessed the potential of image resampling and ComBat harmonization for removing these effects. Our findings suggest a need for radiomics-specific harmonization methods. Our developed score should be considered as a first attempt to introduce comprehensive metrics to quantify the reproducibility of CT-based handcrafted radiomic features. More research is warranted to demonstrate its validity in clinical contexts and to further improve it, possibly by the incorporation of more realistic situations, which better reflect real patients’ situations.

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