Rams Daniel J, Koziej Mateusz, Green Jeremy B, Biesman Brian S, Szczepanek Elżbieta, Popiela Tadeusz J, Ostrogórska Monika, Gleń Agnieszka, Rohrich Rod J, Alfertshofer Michael, Cotofana Sebastian
Aesthet Surg J. 2024 Dec 12;45(1):NP8-NP15. doi: 10.1093/asj/sjae202.
Glabellar contraction patterns were introduced to the scientific literature to help guide glabellar neuromodulator injection algorithms. However, the relationship between the underlying musculature and its influence on these glabellar contraction patterns is unclear.
The aim of this study was to identify by magnetic resonance imaging (MRI) glabellar muscle parameters that display an influence on the distribution of individual glabellar contraction patterns.
Thirty-four healthy young individuals of Caucasian Polish descent were investigated (17 females, 17 males) with a mean age of 23.6 years and a mean BMI of 22.8 kg/m2. MRI-based measurements of length, thickness, width, and surface area of procerus, corrugator supercilii, orbicularis oculi, and frontalis muscles were conducted.
Unadjusted models revealed that there was no statistically significant difference between the 5 glabellar contraction types and the investigated muscle parameters, indicating that, independent of the skin rhytid pattern, the underlying musculature was not different between the investigated groups in this sample, with all P ≥ .102. Adjusted models revealed that sex was the most influential factor, with males generally displaying higher values for the investigated parameters than females.
The results of this study reveal that, based on the MRI parameters investigated and the investigated cohort, there does not appear to be a strong relationship between glabellar contraction patterns and underlying glabella muscle anatomy. Utilizing glabellar contraction patterns to design neuromodulator treatment algorithms may be of variable clinical merit.
眉间收缩模式被引入科学文献以帮助指导眉间神经调节剂注射算法。然而,潜在肌肉组织与其对这些眉间收缩模式的影响之间的关系尚不清楚。
本研究的目的是通过磁共振成像(MRI)确定对个体眉间收缩模式分布有影响的眉间肌肉参数。
对34名波兰裔白种健康年轻人进行了研究(17名女性,17名男性),平均年龄23.6岁,平均BMI为22.8 kg/m2。对降眉间肌、皱眉肌、眼轮匝肌和额肌进行了基于MRI的长度、厚度、宽度和表面积测量。
未调整模型显示,5种眉间收缩类型与所研究的肌肉参数之间无统计学显著差异,这表明,在本样本中,在所研究的组之间,无论皮肤皱纹模式如何,其潜在肌肉组织并无差异,所有P≥0.102。调整后的模型显示,性别是最具影响力的因素,男性所研究参数的值通常高于女性。
本研究结果表明,基于所研究的MRI参数和研究队列,眉间收缩模式与潜在的眉间肌肉解剖结构之间似乎没有很强的关系。利用眉间收缩模式设计神经调节剂治疗算法可能具有不同的临床价值。