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Paving a Path to Clinical Impact with Radiomics: Enabling Reproducibility and Reach.

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Area of Science:

  • Radiomics and computational oncology
  • Medical imaging analysis
  • Biomarker discovery

Background:

  • Radiomics offers noninvasive tumor phenotype characterization.
  • Standardized tools like LIFEx enhance radiomic feature extraction accessibility and reproducibility.
  • Upstream heterogeneity in imaging impacts radiomic reproducibility.

Purpose of the Study:

  • To highlight the promise of radiomics in characterizing tumor phenotypes.
  • To discuss the role of standardized platforms in democratizing radiomics.
  • To identify fundamental challenges impeding the clinical translation of radiomics.

Main Methods:

  • Extraction of quantitative data from medical images.
  • Standardized workflows for radiomic feature extraction using tools like LIFEx.
  • Analysis of upstream factors (acquisition, reconstruction, segmentation) affecting reproducibility.

Main Results:

  • Standardized tools improve radiomics accessibility, transparency, and reproducibility.
  • Variability in upstream imaging processes significantly alters radiomic features.
  • Addressing upstream heterogeneity is crucial for reliable radiomic biomarkers.

Conclusions:

  • Standardized radiomics platforms facilitate exploration but do not fully resolve reproducibility issues.
  • Tackling upstream variability is essential for radiomic features to accurately reflect tumor biology.
  • Overcoming these challenges is critical for the clinical translation of radiomics in precision oncology.