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

BACKGROUND: Current 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-...

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Detalles Bibliográficos
Autores principales: Mayer, Rulon, Turkbey, Baris, Choyke, Peter, Simone, Charles B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902912/
https://www.ncbi.nlm.nih.gov/pubmed/36761948
http://dx.doi.org/10.3389/fonc.2023.1066498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902912/
https://www.ncbi.nlm.nih.gov/pubmed/36761948
http://dx.doi.org/10.3389/fonc.2023.1066498

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