Abstract:OBJECTIVE:To evaluate the ability of orbital apex crowding volume measurements calculated with multidetector-computed tomography to detect dysthyroid optic neuropathy.METHODS:Ninety-three patients with Graves' orbitopathy were studied prospectively. All of the patients underwent a complete neuro-ophthalmic examination and computed tomography scanning. Volumetric measurements were calculated from axial and coronal contiguous sections using a dedicated workstation. Orbital fat and muscle volume were estimated on… Show more
“…The results of univariate correlations for orbital metrics (including orbital volume, volumetric crowding index[15], and proptosis) and optic nerve metrics (include length, cross sectional area, volume, and diameter) are shown in Table 1. Similarly, the correlations for clinical characteristics with muscle metrics are shown in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, distinct structures such as globe, nerve, muscle, and fat can be identified with a high accuracy. Extraocular muscle, bone, fat, and orbital volume indices are among the metrics used in previous study[2–15] as objective findings used to aide in early diagnosis.…”
Pathologies of the optic nerve and orbit impact millions of Americans and quantitative assessment of the orbital structures on 3-D imaging would provide objective markers to enhance diagnostic accuracy, improve timely intervention and eventually preserve visual function. Recent studies have shown that the multi-atlas methodology is suitable for identifying orbital structures, but challenges arise in the identification of the individual extraocular rectus muscles that control eye movement. This is increasingly problematic in diseased eyes, where these muscles often appear to fuse at the back of the orbit (at the resolution of clinical computed tomography imaging) due to inflammation or crowding. We propose the use of Kalman filters to track the muscles in three-dimensions to refine multi-atlas segmentation and resolve ambiguity due to imaging resolution, noise, and artifacts. The purpose of our study is to investigate a method of automatically generating orbital metrics from CT imaging and demonstrate the utility of the approach by correlating structural metrics of the eye orbit with clinical data and visual function measures in subjects with thyroid eye disease. The pilot study demonstrates that automatically calculated orbital metrics are strongly correlated with several clinical characteristics. Moreover, the superior, inferior, medial and lateral rectus muscles obtained using Kalman filters are each correlated with different categories of functional deficit. These findings serve as foundation for further investigation in the use of CT imaging in the study, analysis and diagnosis of ocular diseases, specifically thyroid eye disease.
“…The results of univariate correlations for orbital metrics (including orbital volume, volumetric crowding index[15], and proptosis) and optic nerve metrics (include length, cross sectional area, volume, and diameter) are shown in Table 1. Similarly, the correlations for clinical characteristics with muscle metrics are shown in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, distinct structures such as globe, nerve, muscle, and fat can be identified with a high accuracy. Extraocular muscle, bone, fat, and orbital volume indices are among the metrics used in previous study[2–15] as objective findings used to aide in early diagnosis.…”
Pathologies of the optic nerve and orbit impact millions of Americans and quantitative assessment of the orbital structures on 3-D imaging would provide objective markers to enhance diagnostic accuracy, improve timely intervention and eventually preserve visual function. Recent studies have shown that the multi-atlas methodology is suitable for identifying orbital structures, but challenges arise in the identification of the individual extraocular rectus muscles that control eye movement. This is increasingly problematic in diseased eyes, where these muscles often appear to fuse at the back of the orbit (at the resolution of clinical computed tomography imaging) due to inflammation or crowding. We propose the use of Kalman filters to track the muscles in three-dimensions to refine multi-atlas segmentation and resolve ambiguity due to imaging resolution, noise, and artifacts. The purpose of our study is to investigate a method of automatically generating orbital metrics from CT imaging and demonstrate the utility of the approach by correlating structural metrics of the eye orbit with clinical data and visual function measures in subjects with thyroid eye disease. The pilot study demonstrates that automatically calculated orbital metrics are strongly correlated with several clinical characteristics. Moreover, the superior, inferior, medial and lateral rectus muscles obtained using Kalman filters are each correlated with different categories of functional deficit. These findings serve as foundation for further investigation in the use of CT imaging in the study, analysis and diagnosis of ocular diseases, specifically thyroid eye disease.
“…More recently, imaging studies, such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasonography (US), and colour Doppler imaging (CDI), can also be extremely important in both the diagnosis and clinical or surgical follow-up [3].…”
Section: The Dysthyroid Optic Neuropathymentioning
confidence: 99%
“…They found that patients with Graves' orbitopathy who have severe optic nerve crowding, intracranial fat prolapse and/or muscle index greater than 50% present on orbital CT scans are more likely to have coexisting optic neuropathy. An important result to cite is due to Goncalves et al [3], who targeted at assessing the ability of multi-detector CT to detect DON. The proposed study involved 93 patients who underwent a complete neuro-ophthalmic examination, as well as a CT scan.…”
Section: The Dysthyroid Optic Neuropathymentioning
confidence: 99%
“…The GO can have a major impact on the patient life, from both functional and aesthetic point of view; to some extent, it can be considered as an event deeply affecting the quality of life of the patients. The most serious consequence of GO is perhaps the dysthyroid optic neuropathy (DON), which is due to compression caused by the swelling of extraocular muscles and orbital fat [3].…”
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