Martijn W. Heymans

Amsterdam University Medical Centers

Papers

4

Total Citations

55

H-Index

4

About

Martijn W. Heymans is a leading researcher in urologic oncology, specializing in the development and validation of predictive models for prostate cancer. His work centers on improving preoperative risk stratification through advanced imaging and nomograms, directly impacting clinical decision-making for pelvic lymph-node metastases, extraprostatic extension (EPE), and biochemical recurrence. Heymans’ major contributions include creating a novel nomogram integrating magnetic resonance imaging and prostate-specific membrane antigen (PSMA) PET/CT to predict pelvic lymph-node involvement, externally validated with high accuracy (35 citations, 2023). He also pioneered the use of 3D-reconstructed contact surface area and tumor volume on MRI to enhance EPE prediction (2022, 8 citations), and developed a nomogram for salvage radiation therapy outcomes after radical prostatectomy using PSMA PET/CT restaging (2024, 4 citations). His models, validated in large multicenter cohorts (e.g., 1,170 patients), offer intuitive, side-specific risk tools that reduce unnecessary extended pelvic lymph-node dissections. With cumulative citations exceeding 55, Heymans’ work bridges imaging innovation and personalized treatment, earning recognition as a key contributor to precision oncology in prostate cancer management.

Research Focus

Key Achievements

4
H-Index
4
Papers
55
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Development and External Validation of a Novel Nomogram to Predict the Probability of Pelvic Lymph-node Metastases in Prostate Cancer Patients Using Magnetic Resonance Imaging and Molecular Imaging with Prostate-specific Membrane Antigen Positron Emission Tomography
35 citations · 2023
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Amsterdam University Medical Centers

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago