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 set can add...

Descripció completa

Dades bibliogràfiques

Autors principals:	Rulon Mayer, Baris Turkbey, Peter L. Choyke, Charles B. Simone
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-06-01
Col·lecció:	Diagnostics
Matèries:	logistic probability prostate cancer bi-parametric magnetic resonance imaging (BP-MRI) Gleason score (GS) signal-to-clutter ratio (SCR) regularization
Accés en línia:	https://www.mdpi.com/2075-4418/13/12/2008
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!