R. Jeroen A. van Moorselaar

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代表论文

1. 1
   Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer

   135 次引用 · 2020
2. 2
   Pelvic lymph-node staging with 18F-DCFPyL PET/CT prior to extended pelvic lymph-node dissection in primary prostate cancer - the SALT trial -

   106 次引用 · 2020
3. 3
   Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience

   47 次引用 · 2020
4. 4
   Detection of prostate cancer with 18F-DCFPyL PET/CT compared to final histopathology of radical prostatectomy specimens: is PSMA-targeted biopsy feasible? The DeTeCT trial

   47 次引用 · 2020
5. 5
   Standardised uptake values as determined on prostate‐specific membrane antigen positron emission tomography/computed tomography is associated with oncological outcomes in patients with prostate cancer

   27 次引用 · 2022
6. 6
   Adding multiparametric MRI to the MSKCC and Partin nomograms for primary prostate cancer: Improving local tumor staging?

   26 次引用 · 2018
7. 7
   The Predictive Value of Preoperative Negative Prostate Specific Membrane Antigen Positron Emission Tomography Imaging for Lymph Node Metastatic Prostate Cancer

   19 次引用 · 2021
8. 8
   Management impact of 18F-DCFPyL PET/CT in hormone-sensitive prostate cancer patients with biochemical recurrence after definitive treatment: a multicenter retrospective study

   15 次引用 · 2021
9. 9
   The oncological characteristics of <scp>non‐prostate‐specific membrane antigen (PSMA)‐expressing</scp> primary prostate cancer on preoperative <scp>PSMA</scp> positron emission tomography/computed tomography

   9 次引用 · 2022
10. 10
    Functional outcomes rather than complications predict poor health-related quality of life at 6 months after robot-assisted radical prostatectomy

    6 次引用 · 2021

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