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Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype.

Linnea E KremerArlene B ChapmanSamuel G Armato
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
Reproducibility of radiomic features extracted from the noncystic kidney parenchyma was dependent on the preprocessing parameters used, and the effect on genotype classification was sensitive to preprocessing parameters. The results suggest that texture features may be indicative of genotype expression in ADPKD.
Keyphrases
  • polycystic kidney disease
  • magnetic resonance imaging
  • machine learning
  • deep learning
  • poor prognosis
  • computed tomography
  • contrast enhanced
  • binding protein
  • long non coding rna