Study of Fusion of Coronal Suture on Computed Tomography Skull and Its Association With Age in A in Western Maharashtra.

Abstract

Introduction: Age is a crucial parameter in establishing identity, and the skull is often the only remaining structure found at disaster sites. With recent advancements, computed tomography has become a widely used diagnostic modality. Leveraging this, we utilized data with known age to correlate the stages of fusion observed on both external and cross-sectional views of skull images. Methodology: This is a study on the relationship between age and the closure patterns of coronal sutures, using both cross-sectional and external measurements. Coronal suture was divided into seven parts. Results: Employing Pearson's correlations and linear regression, it identifies statistically significant associations, with C1 and C6 showing the strongest correlations to external measurements, while C4 shows almost none. External measurements at C2, C3, and C5 correlate most strongly with age whereas cross-sectional measurements are less consistent, with C4 emerging as the most age-sensitive point. Discussion: The study's strengths include its robust quantitative analysis, detailed anatomical focus and potential applications in fields such as forensic science and anthropology. However, limitations such as missing data, lack of demographic context, and weak correlations in certain areas reduce its generalizability. Further research incorporating diverse datasets and more nuanced analyses is recommended to enhance the findings' reliability and applicability in establishing age-related identity. Conclusion: External measurements at C2, C3, and C5 show the strongest correlations with age, whereas cross-sectional measurements are less consistent, with C4 emerging as the most age-sensitive point.