Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
Abstract
Radiomic analysis is defined as computationally extracting features from radiographic images for quantitatively characterizing disease patterns. There has been recent interest in examining the use of MRI for identifying prostate cancer (PCa) aggressiveness in patients on active surveillance (AS).
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 22, 2018
- Source ID
- 10.1002/jmri.25983
Entities
People
- Ahmad Algohary
- Anant Madabhushi
- Andrei Purysko
- Anne‐maree Haynes
- Daniel A. Moses
- Ivan Jambor
- James Thompson
- Lee Ponsky
- Maret Böhm
- Marley Pulbrock
- Phillip Brenner
- Phillip Stricker
- Rakesh Shiradkar
- Ronald Shnier
- Sadhna Verma
- Satish E Viswanath
- Shivani Pahwa
- Soumya Ghose
- Warick Delprado
Organizations
- Case Western Reserve University
- Garvan Institute of Medical Research
- National Center for Research Resources
- National Institutes of Health
- St Vincent's Hospital
- United States Department of Defense
- University of Cincinnati
- University of Turku