Clinical and dGEMRIC Evaluation of Microfragmented Adipose Tissue Versus Hyaluronic Acid in Inflammatory Phenotype of Knee Osteoarthritis: A Randomized Controlled Trial.

Several human studies show positive signals, while research methods and sample sizes continue to develop.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

Background : Knee osteoarthritis (OA) is a leading cause of disability, with limited therapies that modify both symptoms and structural degeneration. Autologous microfragmented adipose tissue (MFAT) has emerged as a promising regenerative option, especially in phenotypically distinct OA subgroups. This randomized controlled trial evaluated the clinical and structural efficacy of intra-articular MFAT versus hyaluronic acid (HA) in patients with early to moderate inflammatory phenotype knee OA. Methods : Fifty-three patients were randomized in a 2:1 ratio to receive either MFAT (n = 35) or HA (n = 18). Patients were followed-up for six months post-injection and evaluated using patient-reported outcome measures (KOOS, WOMAC, VAS) and delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). A responder analysis defined structural response as ≥10% increase in dGEMRIC in ≥3 of 7 predefined cartilage regions. Results : Both MFAT and HA led to statistically significant improvements in clinical scores and cartilage glycosaminoglycan content. MFAT showed greater mean improvements across most clinical and dGEMRIC measures, although without reaching statistical significance, except for KOOS Symptoms (MFAT: +25.0 vs. HA: +12.7, p = 0.008). Responder-level analysis revealed that all patients who demonstrated structural response also experienced clinically meaningful pain improvement (KOOS Pai

Evidence level

Several human studies show positive signals, while research methods and sample sizes continue to develop.

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