A Monte Carlo Simulation Framework to Quantify Platelet Dose Variability in Platelet-Rich Plasma Therapies

This study presents a probabilistic framework using Monte Carlo simulations to quantify variability in platelet dose delivered (PDD) in platelet-rich plasma (PRP) therapies. By modeling PDD as a random variable influenced by platelet count, concentration factor, injected volume, and processing efficiency, the study conducted 100,000 iterations to explore uncertainty propagation. The simulations showed a right-skewed distribution of PDD with a median of 3.1 × 10^9 platelets and a coefficient of variation over 50%. Sensitivity analysis identified injected volume and concentration factor as major contributors to variability, with significant interaction effects. The findings highlight the utility of probabilistic modeling in understanding variability sources in PRP preparation and offer a framework for uncertainty quantification in similar biomedical systems.