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1.
AJNR Am J Neuroradiol ; 44(5): 589-594, 2023 05.
Article in English | MEDLINE | ID: mdl-36997289

ABSTRACT

BACKGROUND AND PURPOSE: Orbital compartment syndrome is a sight-threatening emergency caused by rising pressure inside the orbit. It is usually diagnosed clinically, but imaging might help when clinical findings are inconclusive. This study aimed to systematically evaluate imaging features of orbital compartment syndrome. MATERIALS AND METHODS: This retrospective study included patients from 2 trauma centers. Proptosis, optic nerve length, posterior globe angle, morphology of the extraocular muscles, fracture patterns, active bleeding, and superior ophthalmic vein caliber were assessed on pretreatment CT. Etiology, clinical findings, and visual outcome were obtained from patient records. RESULTS: Twenty-nine cases of orbital compartment syndrome were included; most were secondary to traumatic hematoma. Pathologies occurred in the extraconal space in all patients, whereas intraconal abnormalities occurred in 59% (17/29), and subperiosteal hematoma in 34% (10/29). We observed proptosis (affected orbit: mean, 24.4 [SD, 3.1] mm versus contralateral: 17.7 [SD, 3.1] mm; P < .01) as well as stretching of the optic nerve (mean, 32.0 [SD, 2.5] mm versus 25.8 [SD, 3.4] mm; P < .01). The posterior globe angle was decreased (mean, 128.7° [SD, 18.9°] versus 146.9° [SD, 6.4°]; P < .01). In 69% (20/29), the superior ophthalmic was vein smaller in the affected orbit. No significant differences were detected regarding the size and shape of extraocular muscles. CONCLUSIONS: Orbital compartment syndrome is characterized by proptosis and optic nerve stretching. In some cases, the posterior globe is deformed. Orbital compartment syndrome can be caused by an expanding pathology anywhere within the orbit with or without direct contact to the optic nerve, confirming the pathophysiologic concept of a compartment mechanism.


Subject(s)
Compartment Syndromes , Exophthalmos , Humans , Orbit/diagnostic imaging , Retrospective Studies , Tomography, X-Ray Computed/adverse effects , Exophthalmos/etiology , Exophthalmos/complications , Compartment Syndromes/etiology , Compartment Syndromes/complications , Hematoma/diagnostic imaging
2.
Clin Radiol ; 77(3): 203-209, 2022 03.
Article in English | MEDLINE | ID: mdl-34872706

ABSTRACT

AIM: To analyse the diagnostic yield of computed tomography (CT) in septic patients from a medical intensive care unit (ICU). MATERIALS AND METHODS: A full-text search of the department's radiological information system (RIS) retrieved 227 body CT examinations undertaken to search for a septic focus in 2018 from medical ICU patients. CT reports were categorised according to the identified foci. Clinical and laboratory information was gathered. Data were analysed statistically using descriptive statistics, diagnostic test quality criteria, binomial tests and chi-square test. RESULTS: A total of 227 CT examinations from 165 septic patients detected 264 foci, which were distributed as follows: 58.3% (n=154/264) chest, 26.5% (n=70/264) abdomen, 5.3% (n=14/264) genitourinary system, and 9.8% (n=26/264) other body regions. In 15.9% (n=36/227) no focus was identified on CT. Based on CT reports, 37.5% (n=99/264) of foci were graded as certain, 18.9% (n=50/264) as likely, and 15.9% (n=42/264) as possible infectious sources. Septic foci were detected using CT with 75.8% sensitivity (95% confidence interval [CI] 69.6-81.9%) and 59.46% specificity (95% CI 42.9-76.1%). The positive predictive value was 90.6% (95% CI 86-95.2%), with a negative predictive value of 32.4% (95% CI 21-43.8%). CONCLUSION: The present results confirm that body CT is a suitable rule-in test for septic patients in medical intensive care, although it cannot reliably rule out a septic focus. Follow-up CT examinations may reveal a septic source in the further course of a patient's hospital stay.


Subject(s)
Sepsis/diagnostic imaging , Tomography, X-Ray Computed/statistics & numerical data , Abdomen/diagnostic imaging , Aged , Chi-Square Distribution , Confidence Intervals , Critical Care , Female , Humans , Intensive Care Units , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Sensitivity and Specificity , Sepsis/classification , Sepsis/epidemiology , Thorax/diagnostic imaging , Urogenital System/diagnostic imaging
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