Using Computed Tomography: Predictive Factors for Recovery Time in Patients with Orbital Fracture with Diplopia
Journal of the Korean Ophthalmological Society
;
: 501-509, 2019.
Article
Dans Coréen
| WPRIM
| ID: wpr-766872
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 CTfindings:
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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Orbite
/
Fractures orbitaires
/
Énophtalmie
/
Études rétrospectives
/
Études de suivi
/
Traumatismes des tissus mous
/
Diplopie
Type d'étude:
Étude observationnelle
/
Étude pronostique
/
Facteurs de risque
Limites du sujet:
Humains
langue:
Coréen
Texte intégral:
Journal of the Korean Ophthalmological Society
Année:
2019
Type:
Article
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