Open AccessT1 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
Author(s) -
Rakesh Shiradkar,
Ananya Panda,
Patrick Leo,
Andrew Janowczyk,
Xavier Farré,
Nafiseh Janaki,
Lin Li,
Shivani Pahwa,
Amr Mahran,
Christina Buzzy,
Pingfu Fu,
Robin Elliott,
Gregory T. MacLennan,
Lee Ponsky,
Vikas Gulani,
Anant Madabhushi
Publication year - 2020
Publication title -
european radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.606
H-Index - 149
eISSN - 1432-1084
pISSN - 0938-7994
DOI - 10.1007/s00330-020-07214-9
Subject(s) - medicine , histopathology , prostate cancer , neuroradiology , prostatitis , prostate , pathology , lumen (anatomy) , radiology , stromal cell , ultrasound , cancer , neurology , psychiatry
To explore the associations between T1 and T2 magnetic resonance fingerprinting (MRF) measurements and corresponding tissue compartment ratios (TCRs) on whole mount histopathology of prostate cancer (PCa) and prostatitis.