Design, conduct, and reporting of radiomic analyses: Let’s not reinvent the wheel

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Reproducibility and Good Practices in Machine Learning Research


Chaya Moskowitz


The number of published papers reporting on radiomic analyses has been growing exponentially. Very few of these paper produce results that are translated into clinical practice at least in part because of methodological flaws in the work. Although complex methods for producing radiomic signatures are increasingly available and user-friendly and progress has been made in radiomic biomarker taxonomy and standardization, fundamental elements of study design, rigorous statistical analysis, and quality of reporting methods and results are frequently overlooked. In this talk, Chaya highlighted common pitfalls encountered in radiomic studies that could be avoided by knowledge of existing methods and adherence to existing reporting standards.


  • Reproducibility