Variations and thicknesses of anterior belly of the digastric muscle: an ultrasonographic study

Eur Arch Otorhinolaryngol. 2024 Jan;281(1):411-418. doi: 10.1007/s00405-023-08207-2. Epub 2023 Aug 29.

Abstract

Purpose: This study aims to evaluate the anatomy and anatomical variations of the anterior belly of the digastric muscle.

Methods: Hundred and fifty one ultrasonographic images of the digastric muscle pairs were evaluated in Near East University Faculty of Dentistry Department of Dentomaxillofacial Radiology. Morphological variations were recorded using the classification of the digastric muscle into 12 types by Kim et al. For the analysis, the Mann-Whitney U test and Chi-square test were used, and for the correlational analysis, Spearman's rho test was applied. P < 0.05 was considered statistically significant in all tests.

Results: Seventy female and 81 male patients aged 19-60 years were evaluated. Type 1 digastric muscle was observed in 145 of 151 patients, Type 2 in 3 patients, and Type 7 in 3 patients. The thicknesses of the right and left digastric muscles were measured, and a statistically significant difference was observed between the groups when the genders were compared. It was observed that both right and left digastric muscle thicknesses were higher in males than females. There was a statistically significant positive high correlation between right and left digastric muscle thicknesses (p = 0.000; r = 0.736). No statistically significant difference was found between genders (p = 0.596) in terms of anatomical variations.

Conclusion: Considering that the variations of the digastric muscle may have a clinical significance role, the normal anatomy and variations of this muscle should be well known by maxillofacial surgeons and radiologists.

Keywords: Anatomical variation; Anterior belly of the digastric muscle; Ultrasonography.

MeSH terms

  • Chi-Square Distribution
  • Correlation of Data
  • Female
  • Humans
  • Language*
  • Male
  • Neck Muscles* / diagnostic imaging
  • Statistics, Nonparametric