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February 9, 20260 citationsOpen Access

Artificial Intelligence-Assisted Evaluation of Platelet-Rich Plasma Therapy in a Refractory Chronic Lower Leg Wound: A Case Report

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ASAzzouzi Mohamed SalimAHAmine HajjarOEOumkaltoum Elatiqi

Key Points

  • To evaluate the efficacy of platelet-rich plasma therapy in a refractory chronic lower leg wound.
  • Patient with a traumatic lower leg wound treated with PRP therapy after standard care failed.
  • Used digital planimetry and deep-learning segmentation for tissue composition assessment.
  • Monitored wound area changes pre- and post-PRP therapy.
  • Only a 5% reduction in wound area was noted after standard treatment.
  • Post-PRP treatment, an 85% reduction in wound surface area was achieved.
  • Observed tissue shift from fibrin-dominant to granulation-dominant.

Abstract

Introduction: Chronic lower limb wounds remain a therapeutic challenge. Platelet-rich plasma (PRP) has emerged as a regenerative adjuvant, yet objective evidence of its efficacy in stagnant wounds is often lacking. Case Report: We report a 46-year-old patient with a traumatic lower leg wound evolving for over three years. Despite a 4-week run-in period of optimized wound bed preparation, the lesion remained stagnant with no significant reduction in surface area. PRP therapy was subsequently introduced. Methods: Digital planimetry and tissue composition were quantified using a calibrated deep-learning segmentation model. Results: Following the run-in period (standard care), the wound area decreased by only 5%. Four weeks post-PRP injection, an 85% reduction in wound surface was observed, accompanied by a shift from fibrin-dominant to granulation-dominant tissue. Conclusion: PRP therapy effectively reactivated the healing cascade in a wound refractory to standard care. AI-assisted monitoring provided precise, calibrated data confirming the specific efficacy of the biological intervention.

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Cite This Study

Salim et al. (2025) studied this question.

synapsesocial.com/papers/69897a35f0ec2af6756e8943https://doi.org/10.5281/zenodo.18518712
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