Personalizing prostate cancer diagnosis with multivariate risk prediction tools: how should prostate MRI be incorporated?

Ivo Schoots, AR Padhani

Radiology & Nuclear Medicine

Research output: Contribution to journal › Article › Academic › peer-review

20 Citations (Scopus)

8 Downloads (Pure)

Original language	English
Pages (from-to)	531-545
Number of pages	15
Journal	World Journal of Urology
Volume	38
DOIs	https://doi.org/10.1007/s00345-019-02899-0
Publication status	Published - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s00345-019-02899-0

Repub_118746_O-A.pdfFinal published version, 1.51 MB

Cite this

@article{99c5e2a652724f629d1eed60403169d1,

title = "Personalizing prostate cancer diagnosis with multivariate risk prediction tools: how should prostate MRI be incorporated?",

author = "Ivo Schoots and AR Padhani",

year = "2020",

doi = "10.1007/s00345-019-02899-0",

language = "English",

volume = "38",

pages = "531--545",

journal = "World Journal of Urology",

issn = "0724-4983",

publisher = "Springer-Verlag",

}

TY - JOUR

T1 - Personalizing prostate cancer diagnosis with multivariate risk prediction tools: how should prostate MRI be incorporated?

AU - Schoots, Ivo

AU - Padhani, AR

PY - 2020

Y1 - 2020

U2 - 10.1007/s00345-019-02899-0

DO - 10.1007/s00345-019-02899-0

M3 - Article

SN - 0724-4983

VL - 38

SP - 531

EP - 545

JO - World Journal of Urology

JF - World Journal of Urology

ER -