2020
DOI: 10.1016/j.euf.2018.11.004
|View full text |Cite
|
Sign up to set email alerts
|

Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for the Prediction of Extraprostatic Disease—A Risk Model for Patient-tailored Risk Stratification When Planning Radical Prostatectomy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

2
39
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 50 publications
(42 citation statements)
references
References 32 publications
2
39
0
1
Order By: Relevance
“…Nomograms combining clinicopathological information including prostate-specific antigen (PSA) levels, clinical stage based on digital rectal examination, and biopsyrelated information (Gleason score, number, and percentage of positive cores) are often used to predict the extent of prostate cancer (Ohori et al 2004). However, there is an increasing number of studies showing that incorporating preoperative magnetic resonance imaging (MRI) results provide incremental value in predicting SVI and EPE (Ohori et al 2004;Nyarangi-Dix et al 2018;Mehralivand et al 2019;Park et al 2020). Nevertheless, these results are still imperfect with area under the curves (AUC) ranging from 0.74-0.87 (Jansen et al 2019;Wang et al 2007;Weaver et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Nomograms combining clinicopathological information including prostate-specific antigen (PSA) levels, clinical stage based on digital rectal examination, and biopsyrelated information (Gleason score, number, and percentage of positive cores) are often used to predict the extent of prostate cancer (Ohori et al 2004). However, there is an increasing number of studies showing that incorporating preoperative magnetic resonance imaging (MRI) results provide incremental value in predicting SVI and EPE (Ohori et al 2004;Nyarangi-Dix et al 2018;Mehralivand et al 2019;Park et al 2020). Nevertheless, these results are still imperfect with area under the curves (AUC) ranging from 0.74-0.87 (Jansen et al 2019;Wang et al 2007;Weaver et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, all the tools able to provide details on EPE before treatment may be of help in evaluating benefits and harms of nerve-sparing techniques and in tailoring treatment strategies in function of patient's characteristics (64).…”
Section: Multiparametric Mri When Planning Radical Prostatectomymentioning
confidence: 99%
“…Nomograms combining clinicopathological information including prostate-specific antigen (PSA) levels, clinical stage based on digital rectal examination, and biopsy-related information (Gleason score, number and percentage of positive cores) are often used to predict the extent of prostate cancer [4]. However, there is an increasing number of studies showing that incorporating preoperative magnetic resonance imaging (MRI) results provide incremental value in predicting SVI and EPE [4][5][6][7]. Nevertheless, these results are still imperfect with area under the curves (AUC) ranging from 0.74-0.87 [8][9][10].…”
Section: Introductionmentioning
confidence: 99%