DOI: https://doi.org/10.36347/sjmcr.2026.v14i03.002

Pages: 324-331

The suprascapular notch (SSN) is an important anatomical landmark located on the superior border of the scapula. Variations in its morphology and dimensions have been associated with suprascapular nerve entrapment and other shoulder pathologies. Despite its clinical relevance, population-specific morphometric data for adult Nigerians remain limited. This study aimed to investigate the morphometry of the suprascapular notch and its relationship with selected scapular dimensions in adult Nigerian dry bones. A cross-sectional descriptive study was conducted on 50 adult Nigerian dry scapulae of undetermined sex obtained from an anatomical bone repository. Measurements including suprascapular notch length, scapular length, scapular width, scapular spine length, glenoid length, and glenoid width were taken using a digital Vernier caliper. Each parameter was measured three times and averaged. Suprascapular notch morphology was classified according to the Rengachary classification. Data was analyzed using SPSS version 23, and p-values < 0.05 were considered statistically significant. The mean suprascapular notch length was 12.03±0.9 mm. Significant side differences were observed in scapular length (p=0.026), scapular spine length (p=0.04), and glenoid length (p=0.031), while scapular width and glenoid width showed no significant differences. A strong positive correlation was found between suprascapular notch length and scapular length (r=0.999), scapular spine length (r=0.86), and glenoid width (r=0.86). A strong negative correlation was observed between suprascapular notch length and scapular width (r=-0.92). Type III suprascapular notch was the most prevalent (66%), followed by Type II (22%), with no significant difference in distribution between sides (p=0.224). The study demonstrates significant correlations between suprascapular notch length and several scapular dimensions in adult Nigerian dry bones, these findings provide valuable baseline morphometric data for cli