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Vertebral MRI-based radiomics model to differentiate multiple myeloma from metastases: influence of features number on logistic regression model performance.

Jianfang LiuWei GuoPiaoe ZengYayuan GengYan LiuHanqiang OuyangNing LangHuishu Yuan
Published in: European radiology (2021)
• The developed radiomics model could distinguish metastases from multiple myeloma based on conventional vertebral MRI. • An accurate model based on just a handful of the most frequent features could be constructed by utilizing multiple feature reduction techniques. • An event per independent variable value of 10 is recommended as a rule of thumb for modeling feature selection.
Keyphrases
  • multiple myeloma
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • deep learning
  • bone mineral density
  • high resolution
  • magnetic resonance
  • mass spectrometry
  • wastewater treatment
  • body composition