Platelet-Rich Fibrin Matrix (PRFM) is a new advance in Platelet-Rich Plasma (PRP) treatment.
Platelet-rich plasma (PRP) has been used since the 1970’s in medicine for multiple purposes. The last decade has seen a tremendous focus on PRP applications in musculoskeletal medicine. The potential for PRP to promote tissue healing following injury or disease is attractive to many physicians, researchers, and patients alike.
Here is a quick breakdown of PRP.
- Platelet-rich plasma (PRP) injections administer concentrated platelets from the patient’s own blood into damaged cartilage and tendons to reduce pain and to aid in the healing process.
- PRP rebuilds these tissues and can be used for common tendon injuries, such as tennis elbow, and to repair cartilage due to osteoarthritis or other damage.
- PRP injections consist of extracting a blood sample, concentrating the platelets and injecting them into injured areas of the body.
- PRP injections are sometimes performed in a series, but many patients only require one injection to see results.
When PRP is injected, it releases its activating factors over a time period of about 6-8 hours.
The advantage of PRFM is that this technology binds the platelets into a gel matrix, and extends the time the platelet activating factors are released to 6-8 days.
This allows for a more prolonged recruitment of local stem cells and fibroblasts, which should produce a more profound effect at the injection site.
Unlike medications or cortisone injections, which suppress or mask the underlying problem, PRP shows the potential to heal.
PRP and PRFM are derived directly from a patient’s own blood.
After the blood is drawn, it is centrifuged, and the platelets are separated. Through a proprietary system, the platelets are prepared and remain in a liquid form for injection for about 15 minutes. Once they reach the tissue, the gel matrix is formed, and the beneficial effects start to occur.
To date, many patients have been treated with PRP injections. Success rates that appear in the published literature and across the web vary considerably. Although measurements and results vary, some are reported at greater than 90% success rate.