A predictive model based on biparametric MRI and clinical parameters for improved risk assessment and selection of biopsy-naïve men for prostate bi-opsies

Lars Ploug Boesen; Frederik Birkebæk Thomsen; Nis Nørgaard; Vibeke  Løgager; Ingerd Baslev; Rasmus  Bisbjerg; Henrik Segelcke Thomsen; Henrik Jakobsen

A predictive model based on biparametric MRI and clinical parameters for improved risk assessment and selection of biopsy-naïve men for prostate bi-opsies

Lars Ploug Boesen , Frederik Birkebæk Thomsen, Nis Nørgaard, Vibeke Løgager, Ingerd Baslev, Rasmus Bisbjerg, Henrik Segelcke Thomsen, Henrik Jakobsen

Original language	English
Publication date	2019
Publication status	Published - 2019
Event	American Urological Association (AUA) - Chicago, United States Duration: 3 May 2019 → 6 May 2019 Conference number: 114

Conference

Conference	American Urological Association (AUA)
Number	114
Country/Territory	United States
City	Chicago
Period	03/05/2019 → 06/05/2019

Cite this

A predictive model based on biparametric MRI and clinical parameters for improved risk assessment and selection of biopsy-naïve men for prostate bi-opsies. / Boesen , Lars Ploug; Thomsen, Frederik Birkebæk; Nørgaard, Nis et al.
2019. Abstract from American Urological Association (AUA), Chicago, United States.

Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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T1 - A predictive model based on biparametric MRI and clinical parameters for improved risk assessment and selection of biopsy-naïve men for prostate bi-opsies

AU - Boesen , Lars Ploug

AU - Thomsen, Frederik Birkebæk

AU - Nørgaard, Nis

AU - Løgager, Vibeke

AU - Baslev, Ingerd

AU - Bisbjerg, Rasmus

AU - Thomsen, Henrik Segelcke

AU - Jakobsen, Henrik

N1 - Conference code: 114

PY - 2019

Y1 - 2019

M3 - Conference abstract for conference

T2 - American Urological Association (AUA)

Y2 - 3 May 2019 through 6 May 2019

ER -