This study aimed, through bioinformatics analysis, to identify the potential diagnostic markers of osteoarthritis, and analyze the role of immune infiltration in synovial tissue. The gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified by R software. Functional enrichment analyses were performed and protein-protein interaction networks (PPI) were constructed. Then the hub genes were screened. Biomarkers with high value for the diagnosis of early osteoarthritis (OA) were validated by GEO datasets. Finally, the CIBERSORT algorithm was used to evaluate the immune infiltration between early-stage OA and end-stage OA, and the correlation between the diagnostic marker and infiltrating immune cells was analyzed.Aims
Methods
Minimally invasive transforaminal lumbar interbody fusion (MITLIF)
has been well validated in overweight and obese patients who are
consequently subject to a higher radiation exposure. This prospective
multicentre study aimed to investigate the efficacy of a novel lumbar
localisation system for MITLIF in overweight patients. The initial study group consisted of 175 patients. After excluding
49 patients for various reasons, 126 patients were divided into
two groups. Those in Group A were treated using the localisation
system while those in Group B were treated by conventional means.
The primary outcomes were the effective radiation dosage to the
surgeon and the exposure time.Aims
Patients and Methods
