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A risk model for detecting clinically significant prostate cancer based on bi-parametric magnetic resonance imaging in a Japanese cohort

Selective identification of men with clinically significant prostate cancer (sPC) is a pivotal issue. Development of a risk model for detecting sPC based on the prostate imaging reporting and data system (PI-RADS) for bi-parametric magnetic resonance imaging (bpMRI) and clinical parameters in a Japa...

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Detalles Bibliográficos
Autores principales:	Sakaguchi, Kazushige, Hayashida, Michikata, Tanaka, Naoto, Oka, Suguru, Urakami, Shinji
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458280/ https://www.ncbi.nlm.nih.gov/pubmed/34552143 http://dx.doi.org/10.1038/s41598-021-98195-2

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