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T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

Rakesh ShiradkarAnanya PandaPatrick LeoAndrew JanowczykXavier FarreNafiseh JanakiLin LiShivani PahwaAmr MahranChristina BuzzyPingfu FuRobin ElliottGregory MacLennanLee PonskyVikas GulaniAnant Madabhushi
Published in: European radiology (2020)
• Mean T2 MRF measurements and ADC within cancerous regions of interest dropped with increasing ISUP prognostic groups (IPG). • Mean T1 and T2 MRF measurements were significantly different (p < 0.001) across IPGs, prostatitis, and normal peripheral zone (NPZ). • T2 MRF showed stronger correlations in the peripheral zone, while T1 MRF showed stronger correlations in the transition zone with histopathology for prostate cancer.
Keyphrases
  • prostate cancer
  • radical prostatectomy
  • deep learning
  • bone marrow
  • chemotherapy induced
  • magnetic resonance
  • machine learning
  • diffusion weighted