BACKGROUND AND PURPOSE: Optic neuropathy (ON), a serious complication of Graves ophthalmopathy, is often subclinical and masked by symptoms of orbitopathy. We examined herein bony and soft-tissue CT features associated with ON, including an angular assessment of orbital apex capacity, and their usefulness in the risk prediction of ON. MATERIALS AND METHODS: The CT scans of 41 patients with Graves ophthalmopathy (17 men, 24 women; mean age, 49.1 years) clinically diagnosed with (19 patients, 32 orbits) or without ON were evaluated by 2 independent raters. Quantitative linear and angular measurements of the orbital structures and bony walls and categoric scores of apical crowding and intracranial fat prolapse were assessed on a clinical workstation. Inter- and intrarater variability of these features was determined. The CT features of the 2 patient groups were compared, and multivariate logistic regression analysis was performed to evaluate the predictive features of ON. RESULTS: Bony orbital angles (P < .005), length of the lateral orbital wall (P < .05), muscular diameters (P < .0005), muscular bulk of the medial rectus muscle relative to the bony orbit (P < .05), and apical crowding (P < .0005) were associated with clinical ON. Stepwise multivariate logistic regression analysis revealed the muscle diameter index and medial and lateral wall angles to be independent predictors. Combining these in a single multivariate equation yielded sensitivity, specificity, and positive and negative predictive values of 73%, 90%, 82%, and 85%, respectively. CONCLUSIONS: Orbital wall angles, especially the medial wall, and muscular enlargement are independent risk predictors.
BACKGROUND AND PURPOSE:Optic neuropathy (ON), a serious complication of Graves ophthalmopathy, is often subclinical and masked by symptoms of orbitopathy. We examined herein bony and soft-tissue CT features associated with ON, including an angular assessment of orbital apex capacity, and their usefulness in the risk prediction of ON. MATERIALS AND METHODS: The CT scans of 41 patients with Graves ophthalmopathy (17 men, 24 women; mean age, 49.1 years) clinically diagnosed with (19 patients, 32 orbits) or without ON were evaluated by 2 independent raters. Quantitative linear and angular measurements of the orbital structures and bony walls and categoric scores of apical crowding and intracranial fat prolapse were assessed on a clinical workstation. Inter- and intrarater variability of these features was determined. The CT features of the 2 patient groups were compared, and multivariate logistic regression analysis was performed to evaluate the predictive features of ON. RESULTS: Bony orbital angles (P < .005), length of the lateral orbital wall (P < .05), muscular diameters (P < .0005), muscular bulk of the medial rectus muscle relative to the bony orbit (P < .05), and apical crowding (P < .0005) were associated with clinical ON. Stepwise multivariate logistic regression analysis revealed the muscle diameter index and medial and lateral wall angles to be independent predictors. Combining these in a single multivariate equation yielded sensitivity, specificity, and positive and negative predictive values of 73%, 90%, 82%, and 85%, respectively. CONCLUSIONS: Orbital wall angles, especially the medial wall, and muscular enlargement are independent risk predictors.
Authors: Robert L Harrigan; Swetasudha Panda; Andrew J Asman; Katrina M Nelson; Shikha Chaganti; Michael P DeLisi; Benjamin C W Yvernault; Seth A Smith; Robert L Galloway; Louise A Mawn; Bennett A Landman Journal: J Med Imaging (Bellingham) Date: 2014-12-17
Authors: Shikha Chaganti; Katrina Nelson; Kevin Mundy; Robert Harrigan; Robert Galloway; Louise A Mawn; Bennett Landman Journal: J Med Imaging (Bellingham) Date: 2018-10-16
Authors: Shikha Chaganti; Kevin Mundy; Michael P DeLisi; Katrina M Nelson; Robert L Harrigan; Robert L Galloway; Bennett A Landman; Louise A Mawn Journal: J Digit Imaging Date: 2019-12 Impact factor: 4.056
Authors: Swetasudha Panda; Andrew J Asman; Shweta P Khare; Lindsey Thompson; Louise A Mawn; Seth A Smith; Bennett A Landman Journal: J Med Imaging (Bellingham) Date: 2014-07-18
Authors: Shikha Chaganti; Katrina Nelson; Kevin Mundy; Yifu Luo; Robert L Harrigan; Steve Damon; Daniel Fabbri; Louise Mawn; Bennett Landman Journal: Proc SPIE Int Soc Opt Eng Date: 2016-03-21