Ugradar Shoaib, Parunakian Emanuil, Zimmerman Erin, Malkhasyan Emil, Raika Pershanjit, Douglas Raymond N, Kossler Andrea L, Douglas Raymond S
Thrive Health, Beverly Hills.
The Orbital Radiology Center (TORC).
Ophthalmic Plast Reconstr Surg. 2025;41(4):408-414. doi: 10.1097/IOP.0000000000002867. Epub 2024 Dec 23.
Teprotumumab, a novel human monoclonal antibody, has been shown to reverse the clinical manifestations of thyroid eye disease. Previous reports have suggested that it demonstrates disease-modifying properties through the reduction of orbital fat and muscle volumes. This study aims to analyze orbital volumetric change following treatment and to identify clinical and radiological predictors of response.
This was a prospective longitudinal study with 35 consecutive patients who had available pre- and posttreatment orbital imaging. Three-dimensional volumetric calculations of orbital fat, extraocular muscles, and proptosis were measured using previously validated image processing software. This information was used with demographic data to create a multivariate regression model to review which baseline clinical or radiological factors were predictors of proptosis response.
In the study orbit, 20 patients (57%) had a proptosis reduction of ≥2 mm. In the fellow orbit, 18 patients (51%) had a proptosis reduction of ≥2 mm. Regression modeling revealed that baseline proptosis and baseline muscle volumes were significant predictors of proptosis response ( p < 0.01 and p < 0.05, respectively). Further, changes in muscle volume and fat volume were significantly associated with proptosis response ( r = 0.5, p < 0.001 and r = 0.3, p = 0.012, respectively).
Teprotumumab significantly reduces orbital fat and muscle volumes. This is manifested by a significant reduction in proptosis. Baseline proptosis and muscle volumes are significant predictors of proptosis response.
替普罗单抗是一种新型人源单克隆抗体,已被证明可逆转甲状腺眼病的临床表现。既往报道表明,它通过减少眼眶脂肪和肌肉体积展现出疾病改善特性。本研究旨在分析治疗后眼眶容积变化,并确定反应的临床和影像学预测因素。
这是一项前瞻性纵向研究,纳入35例连续的患者,他们均有治疗前和治疗后的眼眶影像学资料。使用先前验证的图像处理软件对眼眶脂肪、眼外肌和眼球突出度进行三维容积计算。这些信息与人口统计学数据一起用于创建多变量回归模型,以评估哪些基线临床或影像学因素是眼球突出度反应的预测因素。
在研究眼眶中,20例患者(57%)眼球突出度减少≥2 mm。在对侧眼眶中,18例患者(51%)眼球突出度减少≥2 mm。回归模型显示,基线眼球突出度和基线肌肉体积是眼球突出度反应的显著预测因素(分别为p<0.01和p<0.05)。此外,肌肉体积和脂肪体积的变化与眼球突出度反应显著相关(分别为r = 0.5,p<0.001和r = 0.3,p = 0.012)。
替普罗单抗可显著减少眼眶脂肪和肌肉体积。这表现为眼球突出度显著降低。基线眼球突出度和肌肉体积是眼球突出度反应的显著预测因素。