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Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting.

Annemarie UhligJohannes UhligAndreas LehaLorenz BiggemannSophie BachanekMichael StöckleMathias ReichertJoachim LotzPhilip ZeuschnerAlexander Maßmann
Published in: European radiology (2024)
Radiomic feature analyses yield robust results for renal tumor assessment on routine CTs. Although radiologists routinely rely on arterial phase CT for renal tumor assessment and operative planning, radiomic features derived from arterial phase did not improve the accuracy of renal tumor subtype identification in our cohort.
Keyphrases
  • computed tomography
  • machine learning
  • magnetic resonance imaging
  • contrast enhanced
  • positron emission tomography
  • squamous cell carcinoma
  • big data
  • neural network