AMIC-Autologous Matrix-Induced Chondrogenesis Technique in Patellar Cartilage Defects Treatment: A Retrospective Study with a Mid-Term Follow-Up

Daniele Tradati, Paola De Luca, Alessio Maione, Francesco Mattia Uboldi, Piero Volpi, Laura de Girolamo, Massimo Berruto

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Knee cartilage defects can be retrieved in 60% of patients undergoing knee arthroscopy, especially in the patellofemoral joint. Different techniques have been proposed to treat patellar defects, although most of them are associated with short-term results. In this study Autologous Matrix Induced Chondrogenesis (AMIC), combining subchondral microfractures with a collagen membrane (type I and III collagen), was used in the treatment of isolated patellar cartilage defects.

METHODS: Twenty-four patients were enrolled in this retrospective study. Subjective-International Knee Documentation Committee (IKDC), Visual Analog Scale for Pain (VAS), and Kujala score were collected at 1, 3, 6, and 12 months after surgery, whereas the Tegner Activity Level Scale was determined preoperatively and at final follow-up (final-FU). The same postoperative management and rehabilitation protocol was adopted for all the patients.

RESULTS: Fourteen patients met the inclusion-exclusion criteria and were evaluated at a mean final-FU of 68.2 months (range 25.4-111.2). At 12 months, Kujala, IKDC, and VAS scores significantly increased in comparison to the preoperative assessment, whereas no statistically significant differences were reported between 12 months and final follow-up.

CONCLUSION: This study demonstrated very good results throughout the follow-up, also in sports patients. The AMIC technique, together with an adequate rehabilitation protocol, can be considered as a reliable one-step alternative for the treatment of large isolated patellar cartilage defects.

Original languageEnglish
JournalJournal of Clinical Medicine
Volume9
Issue number4
DOIs
Publication statusPublished - Apr 20 2020

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