Application of Spectral Algorithm Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study

Application of Spectral Algorithm Applied to Spatially Registered Bi-Parametric MRI to Predict Prostate Tumor Aggressiveness: A Pilot Study

<b>Background:</b> Current prostate cancer evaluation can be inaccurate and burdensome. Quantitative evaluation of Magnetic Resonance Imaging (MRI) sequences non-invasively helps prostate tumor assessment. However, including Dynamic Contrast Enhancement (DCE) in the examined MRI sequence...

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Bibliographic Details
Main Authors:	Rulon Mayer, Baris Turkbey, Peter L. Choyke, Charles B. Simone
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Diagnostics
Subjects:	logistic probability prostate cancer bi-parametric magnetic resonance imaging (BP-MRI) Gleason score (GS) signal-to-clutter ratio (SCR) regularization
Online Access:	https://www.mdpi.com/2075-4418/13/12/2008

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