Computed exophthalmometry is an accurate and reproducible method for the measuring of eyeballs' protrusion

Afanasyeva, D.S.; Gerasimov, Maxim; Борзенок, С.А.

doi:10.1016/j.jcms.2017.12.024

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…A number of methodological biases need to be considered. Although the Hertel exophthalmometer is used in daily clinical practice to define and measure proptosis, this method suffers from significant inter-observer variability 13,14 .…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, its use remains reliable and reproducible when used by a single operator (low intra-observer variability), as was the case in the present study. Radiological measurements of proptosis are generally considered to be less prone to bias compared with Hertel exophthalmometry, but they entail exposure to radiation and a higher cost 14 .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Outcomes of orbital decompression using surgical navigation in thyroid-associated ophthalmopathy

Prévost

Dekeister

Caron

et al. 2020

International Journal of Oral and Maxillofacial Surgery

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Outcomes of orbital decompression using surgical navigation in thyroid-associated ophthalmopathy

Prévost

Dekeister

Caron

et al. 2020

International Journal of Oral and Maxillofacial Surgery

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“…However, the mainstream methods in clinical practice are still dominated by the Hertel ocular prominence meter method and the lightweight-based 2D CT image method. The 3D CT image-based ocular prominence measurement method is complex and time-consuming, and we will explore other ocular prominence-related parameters (Kim and Choi, 2001;Campi et al, 2013;Guo et al, 2017;Afanasyeva et al, 2018;Choi and Lee, 2018) in our future work, for automatic measurement and validate their practical feasibility in a clinical setting.…”

Section: View CCC Iccmentioning

confidence: 99%

Automatic measurement of exophthalmos based orbital CT images using deep learning

Zhang

Rao²,

Wu³

et al. 2023

Front. Cell Dev. Biol.

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Introduction: Objective, accurate, and efficient measurement of exophthalmos is imperative for diagnosing orbital diseases that cause abnormal degrees of exophthalmos (such as thyroid-related eye diseases) and for quantifying treatment effects.Methods: To address the limitations of existing clinical methods for measuring exophthalmos, such as poor reproducibility, low reliability, and subjectivity, we propose a method that uses deep learning and image processing techniques to measure the exophthalmos. The proposed method calculates two vertical distances; the distance from the apex of the anterior surface of the cornea to the highest protrusion point of the outer edge of the orbit in axial CT images and the distance from the apex of the anterior surface of the cornea to the highest protrusion point of the upper and lower outer edges of the orbit in sagittal CT images.Results: Based on the dataset used, the results of the present method are in good agreement with those measured manually by clinicians, achieving a concordance correlation coefficient (CCC) of 0.9895 and an intraclass correlation coefficient (ICC) of 0.9698 on axial CT images while achieving a CCC of 0.9902 and an ICC of 0.9773 on sagittal CT images.Discussion: In summary, our method can provide a fully automated measurement of the exophthalmos based on orbital CT images. The proposed method is reproducible, shows high accuracy and objectivity, aids in the diagnosis of relevant orbital diseases, and can quantify treatment effects.

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“…Challenges with this method have been explored, with studies highlighting issues with reliability, accuracy, and parallax. 22,23 Later studies sought to circumvent these issues by using radiologic methods to measure globe position 24 and some but not all 25,26 of these studies supported the contention that anterior globe position decreases with age. 20,27 We used two methods to calculate the anterior globe position.…”

Section: Anterior Globe Positionmentioning

confidence: 99%

Orbital Aging: A CT Based Study of 240 orbits

Ugradar¹,

Manoukian²,

Azhdam³

et al. 2022

Plastic &Amp; Reconstructive Surgery

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acial appearance undergoes involutional change caused by alterations in the composition and physical properties of its constituents. 1 Multiple techniques have been used to characterize the effects of aging on the orbit. Pessa 2 characterized these changes by creating hard copies of the facial skeletons of young and older male subjects using a stereolithography technique. From a sample of 12 male subjects, he found a decrease in the glabellar, orbital, maxillary, and pyriform angles. 2 Although the study was small and retrospective, it produced enough information to stimulate further work in the field.In a subsequent computed tomography study, Richard et al. 3 added to Pessa's findings by suggesting that the inferior orbital rim descends in conjunction with an expansion of the anterior aperture of the orbit. In a more recent study, Kahn and Shaw 4 studied the same skeletal changes as Pessa 2 and evaluated male and female subjects in a larger computed tomography-based study. Their study included 10 patients in each age group (25 to 44 years, 45 to 64 years, and ≥65 years). Their findings contradicted the original findings by Pessa 2 in that they found a decrease in the glabellar angle in both sexes and suggested that this may be attributed to the retrusion of the supraorbital bar and nasion with age. In his original study, Pessa 2 did not find any significant difference in the glabellar angle in male skulls.

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Computed exophthalmometry is an accurate and reproducible method for the measuring of eyeballs' protrusion

Cited by 9 publications

References 11 publications

Outcomes of orbital decompression using surgical navigation in thyroid-associated ophthalmopathy

Outcomes of orbital decompression using surgical navigation in thyroid-associated ophthalmopathy

Automatic measurement of exophthalmos based orbital CT images using deep learning

Orbital Aging: A CT Based Study of 240 orbits

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