Radiomics quality score

Last revised by Andrew Murphy on 22 Jun 2021

The radiomics quality score, often abbreviated to RQS, is a score that assesses the characteristics and ultimately the quality of a radiomics study including the reporting of it. The score has thirty-six potential points given based on sixteen criteria, with a score of thirty-six indicating superlative quality. The criteria emphasize reproducibility and even include the open availability of source code and data.

Practical points

  • registering a study in a trial database before it begins increases RQS
  • calibrating features with phantoms on all scanners used increases RQS
  • the best quality studies will usually adhere to TRIPOD guidelines (guidelines including a checklist for studies developing or validating a prediction mode) and have a high RQS

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