Open Access
29-01-2025 | Soft Tissue Sarcoma | ASO Author Reflections
ASO Author Reflections: Enhancing Shared Decision-Making with Risk Prediction Models in Sarcoma Care
Authors:
Leti van Bodegom-Vos, PhD, Anouk Kruiswijk, MSc, Michiel van de Sande, MD, PhD
Published in:
Annals of Surgical Oncology
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Excerpt
Risk prediction models (RPMs) have become essential tools in modern oncology, supporting clinicians in making data-driven, personalized treatment decisions. These statistical tools predict individual patient outcomes on the basis of clinical characteristics, enhancing evidence-based medicine and shared decision-making. RPMs have found applications across various conditions, including breast cancer and currently in soft tissue sarcoma (STS) management. Tools such as Sarculator
1 and PERSARC,
2 designed specifically for STS, estimate risks of recurrence and survival using clinical parameters to tailor sarcoma treatment strategies. …