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| CT and MRI Features and Differential Diagnosis of Orbital Cavernous Hemangioma and Orbital Schwannoma |
| LIAN Peng, WANG Li, ZHANG Hui, et al |
| Xi'an People's Hospital / Xi'an Fourth Hospital, Shaanxi Xi'an 710004, China |
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Abstract Objective: To observe the computed tomography (CT) and magnetic resonance imaging (MRI) features of patients with orbital cavernous hemangioma and orbital schwannoma, and value of the two methods in differential diagnosis.Methods: From January 2021 to January 2024, 82 patients with orbital cavernous hemangioma and orbital schwannoma were admited to our hospital, and they were selected as the research subjects. Based on surgical and pathological results, the patients were divided into cavernous hemangioma group (n=44) and schwannoma group (n=38). All patients underwent CT and MRI examinations before surgery. CT and MRI features of the two groups were comparatively analyzed. The value of the two imaging methods in differential diagnosis of orbital cavernous hemangioma and orbital schwannoma was compared.Results: CT examination showed that the density of soft tissues in patients with cavernous hemangioma was uniform, and the proportion of CT values ≥ 50HU was higher than that in patients with schwannoma (P<0.05). MRI examination showed that patients with cavernous hemangioma had flatter eyeball walls, with equal signal intensity on T1WI and T2WI, uniform and progressively enhanced signals on T1WI and T2WI. The proportion of plateau/outflow type TIC was higher than that in patients with schwannoma (P<0.05). The accordance rates of MRI were higher than those of CT for qualitative diagnosis and localization diagnosis of orbital cavernous hemangioma and orbital schwannoma (P<0.05).Conclusion: MRI features of patients with orbital cavernous hemangioma and orbital schwannoma are significantly different. MRI is superior to CT for qualitative diagnosis and localization diagnosis of orbital cavernous hemangioma and orbital schwannoma, and can provide an imaging basis for clinical diagnosis and differentiation.
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2024, Vol. 30 
