Pilot study for generating and assessing nomograms and decision curves analysis to predict clinically significant prostate cancer using only spatially registered multi-parametric MRI

Pilot study for generating and assessing nomograms and decision curves analysis to predict clinically significant prostate cancer using only spatially registered multi-parametric MRI

BackgroundCurrent prostate cancer evaluation can be inaccurate and burdensome. To help non-invasive prostate tumor assessment, recent algorithms applied to spatially registered multi-parametric (SRMP) MRI extracted novel clinically relevant metrics, namely the tumor’s eccentricity (shape), signal-to...

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Bibliographic Details
Main Authors: Rulon Mayer, Baris Turkbey, Peter Choyke, Charles B. Simone
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
multi-parametric magnetic resonance imaging (MP-MRI)
Gleason score (GS)
signal-to-clutter ratio (SCR)
regularization
nomograms
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1066498/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1066498/full

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