Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI

OBJECTIVES: We aimed to develop logistic regression (LR) models for classifying prostate cancer within the transition zone on multi-parametric magnetic resonance imaging (mp-MRI). METHODS: One hundred and fifty-five patients (training cohort, 70 patients; temporal validation cohort, 85 patients) und...

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Detalles Bibliográficos
Autores principales: Dikaios, Nikolaos, Alkalbani, Jokha, Sidhu, Harbir Singh, Fujiwara, Taiki, Abd-Alazeez, Mohamed, Kirkham, Alex, Allen, Clare, Ahmed, Hashim, Emberton, Mark, Freeman, Alex, Halligan, Steve, Taylor, Stuart, Atkinson, David, Punwani, Shonit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4291517/
https://www.ncbi.nlm.nih.gov/pubmed/25226842
http://dx.doi.org/10.1007/s00330-014-3386-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4291517/
https://www.ncbi.nlm.nih.gov/pubmed/25226842
http://dx.doi.org/10.1007/s00330-014-3386-4

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