Papers

4

Total Citations

315

H-Index

4

About

Ronald Boellaard is a leading authority in quantitative PET imaging, with a primary focus on prostate cancer. His research centers on advancing PSMA PET/CT for improved cancer staging, risk stratification, and treatment guidance. Boellaard’s major contributions include pioneering the use of machine learning to analyze [18F]DCFPyL PET radiomics, enabling non-invasive risk stratification in primary prostate cancer—a study that has garnered 135 citations. He also led the landmark SALT trial (106 citations), demonstrating the superior accuracy of PSMA PET/CT for pelvic lymph-node staging prior to extended dissection, and the DeTeCT trial (47 citations), which explored the feasibility of PSMA-targeted biopsy by comparing PET findings with radical prostatectomy histopathology. His work has further established that standardised uptake values (SUVmax) on PSMA PET/CT are significantly associated with oncological outcomes, as shown in a 2022 study (27 citations). Boellaard’s research has been instrumental in validating quantitative PET metrics as reliable biomarkers, directly impacting clinical decision-making in prostate cancer management. His contributions have shaped international guidelines and continue to influence the integration of molecular imaging into precision oncology.

Research Focus

Key Achievements

4
H-Index
4
Papers
315
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning-based analysis of [18F]DCFPyL PET radiomics for risk stratification in primary prostate cancer
135 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Amsterdam University Medical Centers, Amsterdam UMC Location VUmc

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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