Artificial Intelligence-Assisted Evaluation of Platelet-Rich Plasma Therapy in a Refractory Chronic Lower Leg Wound: A Case Report
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.
Authors
- S. Boukind
- Moulay Driss Elamrani (ORCID: https://orcid.org/0000-0002-2593-0605)
- Azzouzi Mohamed Salim
- Oumkaltoum Elatiqi
- Amine Hajjar
Institutions
- Centre Hospitalier Universitaire Mohammed VI (MA)
- Université Mohammed VI Polytechnique (MA)
- Sup de Co Marrakech (MA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-28
- DOI
- https://doi.org/10.5281/zenodo.18518712
- Primary Topic
- Periodontal Regeneration and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00