Cosmetic Orbital Inferomedial Decompression: Quantifying the Risk of Diplopia Associated With Extraocular Muscle Dimensions

Purpose: To quantify the risk of new diplopia in inferomedial orbital decompression performed for cosmetic reasons. Methods: Retrospective analysis of 114 patients with Graves orbitopathy who underwent an inferomedial orbital decompression. No patient had diplopia in any of the gaze positions or optic neuropathy. A single coronal slice 9 mm posterior to the lateral orbital rim was employed to quantify the muscular index of the extraocular recti and of the superior complex. A control group of 56 patients imaged for other reasons were also measured. After surgery the oculomotor status of all patients who complained of diplopia and of 51 patients free of diplopia was measured with the prism and cover test in the primary and secondary gaze positions. Results: The rate of new-onset diplopia was 14.0% (16 patients). Eye deviations were confirmed in 14 patients. Of these, 10 had significant strabismus that warranted surgical or prism treatment. Most patients had esotropia associated with small vertical deviations. The size of the medial and inferior recti was significantly associated with the development of diplopia. The estimated odds for the appearance of diplopia in patients with muscle enlargement was 12.76 (medial rectus) and 5.21 (inferior rectus). Small-angle deviations were also detected in 27.4% of patients who did not experience diplopia. Conclusions: Medial and inferior recti enlargement is a strong predictor of new-onset diplopia. A large number of patients who do not report diplopia also present with small-angle deviations. (Ophthal Plast Reconstr Surg 2012;28:204-207)

Predicting dysthyroid optic neuropathy using computed tomography volumetric analyses of orbital structures

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 the basis of their attenuation values (in Hounsfield units) using measurements from the anterior orbital rim to the optic foramen. Two indexes of orbital muscle crowding were calculated: i) the volumetric crowding index, which is the ratio between soft tissue (mainly extraocular muscles) and orbital fat volume and is based on axial scans of the entire orbit; and ii) the volumetric orbital apex crowding index, which is the ratio between the extraocular muscles and orbital fat volume and is based on coronal scans of the orbital apex. Two groups of orbits (with and without dysthyroid optic neuropathy) were compared. RESULTS: One hundred and two orbits of 61 patients with Graves' orbitopathy met the inclusion criteria and were analyzed. Forty-one orbits were diagnosed with Graves' orbitopathy, and 61 orbits did not have optic neuropathy. The two groups of orbits differed significantly with regard to both of the volumetric indexes (p<0.001). Although both indexes had good discrimination ability, the volumetric orbital apex crowding index yielded the best results with 92% sensitivity, 86% specificity, 81%/94% positive/negative predictive value and 88% accuracy at a cutoff of 4.14. CONCLUSION: This study found that the orbital volumetric crowding index was a more effective predictor of dysthyroid optic neuropathy than previously described computed tomography indexes were.

Quantification of Orbital Apex Crowding for Screening of Dysthyroid Optic Neuropathy Using Multidetector CT

BACKGROUND AND PURPOSE: DON, a serious complication of GO, is frequently difficult to diagnose clinically in its early stages because of confounding signs and symptoms of congestive orbitopathy. We evaluated the ability of square area measurements of orbital apex crowding, calculated with MDCT, to detect DON. MATERIALS AND METHODS: Fifty-six patients with GO were studied prospectively with complete neuro-ophthalmologic examination and MDCT scanning. Square measurements were taken from coronal sections 12 mm, 18 mm, and 24 mm from the interzygomatic line. The ratio between the extraocular muscle area and the orbital bone area was used as a Cl. Intracranial fat prolapse through the superior orbital fissure was recorded as present or absent. Severity of optic nerve crowding was also subjectively graded on corona! images. Orbits were divided into 2 groups (with or without clinical evidence of DON) and compared. RESULTS: Ninety-five orbits (36 with and 59 without DON) were studied. The CIs at all 3 levels and the subjective crowding score were significantly greater in orbits with DON (P<.001). No significant difference was observed regarding intracranial fat prolapse (P=.105). The area under the ROC curves was 0.91, 0.93, and 0.87 for CIs at 12, 18, and 24 mm, respectively. The best performance was at 18 mm, where a cutoff value of 57.5% corresponded to 91.7% sensitivity, 89.8% specificity, and an odds ratio of 97.2 for detecting DON. A significant correlation (P<.001) between the CIs and VF defects was observed. CONCLUSIONS: Orbital Cls based on area measurements were found to predict DON more reliably than subjective grading of orbital crowding or intracranial fat prolapse.

Extraocular Muscles in Patients With Infantile Nystagmus Adaptations at the Effector Level

Objective: To test the hypothesis that the extraocular muscles (EOMs) of patients with infantile nystagmus have muscular and innervational adaptations that may have a role in the involuntary oscillations of the eyes. Methods: Specimens of EOMs from 10 patients with infantile nystagmus and postmortem specimens from 10 control subjects were prepared for histologic examination. The following variables were quantified: mean myofiber cross-sectional area, myofiber central nucleation, myelinated nerve density, nerve fiber density, and neuromuscular junction density. Results: In contrast to control EOMs, infantile nystagmus EOMs had significantly more centrally nucleated myofibers, consistent with cycles of degeneration and regeneration. The EOMs of patients with nystagmus also had a greater degree of heterogeneity in myofiber size than did those of controls, with no difference in mean myofiber cross-sectional area. Mean myelinated nerve density, nerve fiber density, and neuromuscular junction density were also significantly decreased in infantile nystagmus EOMs. Conclusions: The EOMs of patients with infantile nystagmus displayed a distinct hypoinnervated phenotype. This represents the first quantification of changes in central nucleation and myofiber size heterogeneity, as well as decreased myelinated nerve, nerve fiber, and neuromuscular junction density. These results suggest that deficits in motor innervation are a potential basis for the primary loss of motor control.