Sep 2026· British Journal of Ophthalmology· pp. bjo-2026-330182· 0 citations· 27 references
Medicine
TL;DR
The TED-trained photoexophthalmometry system showed good agreement with Hertel measurements in healthy individuals and patients with non-TED orbital disease, and these findings support its use as an adjunct to clinical examination for objective quantification and documentation of globe position.
Abstract
Aims
To evaluate agreement between photo-based automated exophthalmometry and manual Hertel exophthalmometry in healthy individuals and patients with non-thyroidal orbital disease, with a deep learning system trained exclusively in thyroid eye disease (TED) cohorts applied without retraining or fine-tuning.
Methods
This was a retrospective observational study. A total of 269 individuals were included in the study, including 95 healthy controls and 174 patients with unilateral non-TED orbital pathology. Automated measurements obtained using Glandy EXO from same-day frontal facial photographs were compared with corresponding manual Hertel exophthalmometry measurements. Agreement was assessed using Pearson correlation coefficient (PCC), mean absolute error (MAE), intraclass correlation coefficient (ICC) and Bland-Altman analysis. Diagnostic performance for clinically significant intereye asymmetry (>2.0 mm) was also evaluated.
Results
The system showed good agreement with Hertel exophthalmometry in the eyes of healthy controls (PCC 0.80; MAE 0.86 mm; ICC 0.80) as well as the affected (PCC 0.81; MAE 1.41 mm; ICC 0.75) and fellow (PCC 0.76; MAE 1.03 mm; ICC 0.75) eyes of patients. Overall, 84.8% of measurements were within 2.0 mm of the manual Hertel values. The sensitivity, specificity and accuracy of the system for detecting clinically significant intereye asymmetry were 59.6%, 95.0% and 83.3%, respectively.
Conclusions
The TED-trained photoexophthalmometry system showed good agreement with Hertel measurements in healthy individuals and patients with non-TED orbital disease. These findings support its use as an adjunct to clinical examination for objective quantification and documentation of globe position.
BACKGROUND
Proptosis is the principal quantitative measure of disease severity in thyroid eye disease (TED), but Hertel exophthalmometry has substantial interobserver variability and requires in-person specialist visits. Existing deep learning (DL) proptosis-from-photograph models require studio-acquired images. We aim...
Jae Hoon Moon, Joonhyeon Park, Min Joo Kim et al.· Thyroid· 0 citations
Importance
External ocular examination is central to ptosis evaluation, yet it often relies on manual, experience-dependent measurements with variable accuracy and reproducibility.
Objective
To develop and prospectively evaluate the Digital Rulers of Ptosis (DRP), a smartphone-based 3-dimensional (3D) reconstruction...
Ya-Han Yang, Yuxuan Han, Rui-Xin Wang et al.· JAMA ophthalmology· 0 citations
Quantification of dental irregularities is essential for assessing case severity, evaluating treatment outcomes, and aiding early detection of fixed retainer failure. Measurements are typically performed on casts or digital scans, although manual measurement on intraoral photographs has been explored to enable remote m...
Moritz Kanemeier, Tuna Ergün, Thomas Stamm et al.· BMC Oral Health· 0 citations
Background Population-specific reference values for Hertel exophthalmometry are limited in South Asian populations, including Nepal. This limits clinical interpretation of ocular protrusion in routine practice. This study aimed to establish hospital-based reference values for exophthalmometry, evaluate intra-session me...
A. Subedi, Roshni Malla, Mario Cantó-Cerdán et al.· Clinical Ophthalmology· 0 citations
PURPOSE
Driven by scleral stiffness, ocular rigidity (OR) is emerging as a critical factor in refractive development. Although a common assumption is that OR is symmetric in a healthy individual's eyes, empirical data remains scarce. This study directly tests this assumption by quantifying intereye OR differences in he...
Jonathan Medina-Cornejo, Kelly Lam, Yasaman Adel et al.· Optometry and Vision Science· 0 citations
OBJECTIVES
To develop an artificial intelligence (AI) system for craniofacial morphology analysis in pediatric obstructive sleep apnea (OSA) using photogrammetry.
STUDY DESIGN
Prospective, cross-sectional study.
SETTING
Tertiary medical hospital.
METHODS
Children aged 3 to 18 years with OSA-related symptoms were...
Wan-Yi Hsueh, Kun-Tai Kang, Shih-Hsu Huang et al.· Otolaryngology Head & Neck S...· 0 citations
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