Using Computed Tomography: Predictive Factors for Recovery Time in Patients with Orbital Fracture with Diplopia
- Authors
- Ahn, Jong Ho; Park, Su Jin; Chi, Mi Jung
- Issue Date
- Jun-2019
- Publisher
- KOREAN OPHTHALMOLOGICAL SOC
- Keywords
- Computed tomography; Diplopia; Orbital fracture
- Citation
- JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY, v.60, no.6, pp.501 - 509
- Journal Title
- JOURNAL OF THE KOREAN OPHTHALMOLOGICAL SOCIETY
- Volume
- 60
- Number
- 6
- Start Page
- 501
- End Page
- 509
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1422
- DOI
- 10.3341/jkos.2019.60.6.501
- ISSN
- 0378-6471
- Abstract
- Purpose: To identify predictive factors for recovery time in patients with orbital fracture with diplopia through analysis of preoperative and postoperative computed tomography (CT) images and postoperative recovery time. Methods: We retrospectively analyzed CT findings-preoperative: fracture size, type of fracture, fracture site, extraocular muscle (EOM) swelling, EOM and soft tissue injury, and the amount of soft tissue herniation; post-operative: degree of enophthalmos, and diplopia recovery period in 379 patients who underwent surgical treatment for orbital fracture between March 2006 and December 2015. Results: The average postoperative follow-up period was 556.2 +/- 59.5 days, and the mean duration of recovery was 23.9 +/- 42.5 (range, 3-186) days. The recovery time of diplopia was significantly increased with the following preoperative CT findings: fracture size (small and medium < large) (p = 0.049), type of fracture (linear < hinge < comminuted, trap-door) (p < 0.01), fracture site (inferior < medial and both) (p < 0.01), EOM and soft tissue injury (prolapse and torsion, muscle entrapment, kinked muscle) (p < 0.01), and the amount of soft tissue herniation (small and medium < large) (p < 0.001). The mechanism of injury, sex, age, and the degree of enophthalmos were not related to the length of the diplopia recovery period. Conclusions: The length of diplopia recovery could be predicted by CT findings.
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