Using morphologic parameters of extraocular muscles for diagnosis and follow-up of graves' ophthalmopathy: Diameters, areas, or volumes?

Zsolt Szucs-Farkas, Judit Toth, Erzsebet Balazs, Laszlo Galuska, Kenneth D. Burman, Zsolt Karanyi, Andras Leovey, Endre V. Nagy

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

OBJECTIVE. The objective of this study was to find the most appropriate, accurate, and convenient muscle parameter that can be used as a substitute for volume in monitoring the effectiveness of therapy of patients with Graves' ophthalmopathy. SUBJECTS AND METHODS. The four rectus muscles in 110 orbits (35 patients and 20 control subjects) were evaluated with MR imaging. The diameter at the largest extent of the muscle belly, as well as the long and the short diameters and the cross-sectional areas in a preselected coronal scan, were measured for each muscle and were compared with the corresponding muscle volume measured on contiguous T1-weighted transverse slices. RESULTS. The measured coronal area correlated well with the volume of the superior (r = 0.694, p < 0.0001) and inferior (r = 0.783, p < 0.0001) recti, and the largest transverse diameter showed strong correlation with the volume of the lateral (r = 0.868, p < 0.0001) and medial (r = 0.869, p < 0.0001) recti. For the latter muscle, the coronal area also exhibited a good correlation with the volume (r = 0.838, p < 0.0001). Coronal cross-sectional areas can be well estimated by measuring both the short and long coronal muscle diameters (r values were between 0.914 and 0.966;p < 0.0001). CONCLUSION. In Graves' ophthalmopathy, the volume of three of the rectus muscles can be well estimated by simple measurements on a single coronal slice, and the largest transverse diameter of the lateral rectus is suitable for the same purpose.

Original languageEnglish
Pages (from-to)1005-1010
Number of pages6
JournalAmerican Journal of Roentgenology
Volume179
Issue number4
DOIs
Publication statusPublished - Oct 2002

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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