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Quantitative tumor heterogeneity MRI profiling improves machine learning-based prognostication in patients with metastatic colon cancer.

Dania DayeAzadeh TabariHyunji KimKen ChangSophia C KamranTheodore S HongJayashree Kalpathy-CramerMichael S Gee
Published in: European radiology (2021)
• MRI-based tumor heterogeneity texture features are associated with patient survival outcomes. • MRI-based tumor texture features complement standard clinical and pathological variables for prognosis prediction in metastatic colorectal cancer. • Agglomerative hierarchical clustering shows that patient survival outcomes are associated with different MRI tumor profiles.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • single cell
  • diffusion weighted imaging
  • magnetic resonance
  • metastatic colorectal cancer
  • case report
  • big data
  • mass spectrometry
  • rna seq