Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease

• Published in: Investigative ophthalmology & visual science Vol. 65; no. 5; p. 6
• Main Authors: Alkhadrawi, Adham M., Lin, Lisa Y., Langarica, Saul A., Kim, Kyungsu, Ha, Sierra K., Lee, Nahyoung G., Do, Synho
• Format: Journal Article
• Language: English
• Published: United States The Association for Research in Vision and Ophthalmology 01.05.2024
• Subjects: Adipose Tissue - diagnostic imaging; Adult; Aged; Deep Learning; Female; Graves Ophthalmopathy - diagnosis; Graves Ophthalmopathy - diagnostic imaging; Humans; Male; Middle Aged; Multidisciplinary Ophthalmic Imaging; Oculomotor Muscles - diagnostic imaging; Orbit - diagnostic imaging; Organ Size; Retrospective Studies; ROC Curve; Tomography, X-Ray Computed - methods

Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complicated by compressive optic neuropathy (CON). This study aims to utilize a deep-learning (DL)-based automated segmentation model to segment orbital muscle and fat volumes on computed tomography (CT) images and pr...