ABSTRACT
Establishing quantitative parameters for differentiating between healthy and diseased cartilage tissues by examining collagen fibril degradation patterns facilitates the understanding of tissue characteristics during disease progression. These findings could also complement existing clinical methods used to diagnose cartilage-related diseases. In this study, cartilage samples from normal, osteoarthritis (OA), and rheumatoid arthritis (RA) tissues were prepared and analyzed using polarization-resolved second harmonic generation (P-SHG) imaging and quantitative image texture analysis. The enhanced molecular contrast obtained from this approach is expected to aid in distinguishing between healthy and diseased cartilage tissues. P-SHG image analysis revealed distinct parameters in the cartilage samples, reflecting variations in collagen fibril arrangement and organization across different pathological states. Normal tissues exhibited distinct χ33/χ31 values compared with those of OA and RA, indicating collagen type transition and cartilage erosion with chondrocyte swelling, respectively. Compared with those of normal tissues, OA samples demonstrated a higher degree of linear polarization, suggesting increased tissue birefringence due to the deposition of type-I collagen in the extracellular matrix. The distribution of the planar orientation of collagen fibrils revealed a more directional orientation in the OA samples, associated with increased type-I collagen, while the RA samples exhibited a heterogeneous molecular orientation. This study revealed that the imaging technique, the quantitative analysis of the images, and the derived parameters presented in this study could be used as a reference for disease diagnostics, providing a clear understanding of collagen fibril degradation in cartilage.
ABSTRACT
Background: Carpal Tunnel Syndrome (CTS) is one such common disorder among dental health care personnel caused due to the entrapment neuropathy of the median nerve in the carpal tunnel. We aimed to evaluate the pooled estimates of the CTS among dental healthcare personnel. Methods: We systematically reviewed the existing literature from six databases till January 1 st, 2022. Studies reported in English along with the prevalence of CTS or where prevalence could be calculated were included. Independent screening of title and abstracts, and the full text was done by two examiners. Information collected was authors, year of publication, geographic location, type of dental healthcare personnel, sample size, distribution of age, sex, CTS, method of diagnosis, and risk of bias. The random effect model was used to estimate the pooled estimates. Results: Thirty-seven studies yielded 38 estimates. A total of 17,152 dental health care personnel were included of which 2717 had CTS. The overall pooled prevalence of CTS among the included studies was 15%, with a high heterogeneity. Meta-analysis showed no significant difference in the pooled estimates of CTS between male and female dental healthcare personnel (OR: 0.73; 95% CI: 0.52 -1.02; I 2= 69.71). The pooled estimates among the dentist and dental auxiliaries were 20% and 10%, respectively. The pooled prevalence of CTS with self-reported measures, clinical examination and NCS were 21%, 13% and 8% respectively. Meta-regression showed that the prevalence estimates were significantly associated with publication year (coefficient: 0.006; 95% CI= 0.002-0.01). Conclusion: One out of seven dental health care personnel may be affected by CTS. No significant difference was seen in the prevalence of CTS between male and female dental healthcare personnel.
