Determining the Position, Morphology, and Location of the Depressor Anguli Muscle Through Ultrasound in the Caucasian Population
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background The depressor anguli oris (DAO) muscle plays a key role in expressing sadness by lowering the oral commissures. Botulinum toxin (BT) is frequently used to weaken DAO hyperactivity, but results remain inconsistent because of reliance on cadaveric studies and surface landmarks, often derived from Asian populations. Ethnic anatomical variability may compromise injection accuracy. Objectives The aim of this study was to evaluate DAO morphology in Caucasian patients using high-frequency ultrasound. Methods A total of 290 Caucasian patients seeking DAO treatment with BT were assessed. Exclusion criteria were neuromuscular disease or previous BT in the area. Ultrasound evaluated the DAO position relative to the mid-pupillary line, depth from the skin, and overlap with adjacent muscles. Results DAO localization showed significant variability: 20.2% were aligned with the classical mid-pupillary landmark and 79.8% exhibited lateral displacement (2-5 mm). Mean DAO depth was 3.1 mm, greater in overweight/obese patients (P < .001). Overlap with the depressor labii inferioris occurred in 12%. Conclusions DAO topography in Caucasians differs significantly from that reported in standard references. Blind injections may reduce the treatment efficacy and increase the side-effect rate. High-frequency ultrasound enables precise DAO mapping, individualized injection planning, and improved treatment predictability. Preinjection ultrasound should be considered for safe and effective DAO neuromodulation. Level of Evidence: 3 (Diagnostic)
Authors: Simone Ugo Urso, Elena Calabria, Antonella Franceschelli, Bianca Genovese, Paola Molinari, Michela Piludu, Martina Zuccaro, Luca Bastiani, Giovanni Mosti
Language: English
Subfield: Dermatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,051
OpenAlex ID: W7161687668
