Background: Radiomics is the high throughput analysis of medical images using computer algorithms, which specifically assess textural features. It has increasingly been proposed as a tool for the development of imaging biomarkers. However, an important acknowledged limitation of radiomics is the lack of reproducibility of features produced.
Purpose: To assess reproducibility and repeatability of radiomics variables in brain MRI through a multivisit, multicenter study.
Study type: Retrospective.
Population: Fourteen individuals visiting three institutions twice, 10 males with the mean age of 36.3 years and age range 25-51.
Field strength: 3D T1W inversion recovery on three 1.5-T General Electric scanners.
Assessment: Radiomics analysis by a consultant radiologist performed on the T1W images of the whole brain on all visits. All possible radiomics features were generated.
Statistical test: Concordance correlation coefficient (CCC) and dynamic range (DR) for all variables were calculated to assess the test-retest repeatability. Intraclass correlation coefficients (ICCs) were calculated to investigate the reproducibility of features across centers.
Results: Of 1596 features generated, 57 from center 1, 15 from center 2, and 22 from center 3 had a CCC > 0.9 and DR > 0.9. Eight variables had CCC > 0.9 and DR > 0.9 in all centers. Forty-one variables had an ICC of >0.9. No variables had CCC > 0.9, DR > 0.9, and ICC > 0.9.
Data conclusion: Repeatability and reproducibility of variables is a significant limitation of radiomics analysis in 3DT1W brain MRI. Careful selection of radiomic features is required.
Level of evidence: 4 TECHNICAL EFFICACY STAGE: 2.
Keywords: neuro-imaging; radiomics; repeatability; reproducibility.
© 2022 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.