Current Research in MRI
Original Article

Evaluation of Magnetic Resonance Imaging Findings of COVID-19- Related Rhino-Orbito-Cerebral Mucormycosis


Department of Radiology, Çukurova University, Faculty of Medicine, Adana, Turkey


Department of Ophthalmology, Seyhan State Hospital, Adana, Turkey


Department of Medical Microbiology, Çukurova State Hospital, Adana, Turkey

Curr Res MRI 2023; 2: 6-10
DOI: 10.5152/CurrResMRI.2023.22047
Read: 864 Downloads: 450 Published: 01 April 2023

Objective: Rhino-orbito-cerebral mucormycosis is an angioinvasive, opportunistic infection in coronavirus disease 2019 patients. The aim of this study is to evaluate the spread and complications of coronavirus disease 2019-related rhino-orbito-cerebral mucormycosis with magnetic resonance imaging findings.

Methods: The study included 14 patients with head and neck magnetic resonance imaging, positive severe acute respiratory failure syndrome Coronavirus 2 (SARS-CoV-2) reverse transcriptase polymerase chain reaction test, and pathologically proven mucormycosis. Paranasal sinus, orbital and intracranial involvement features were examined in detail and complications were evaluated.

Results: Diabetes mellitus was the most common comorbidity in all patients except one (92%). Systemic steroid treatment was provided to 10 patients (74%) and oxygen support was provided to 8 patients (57%). In our study, the mortality rate was found to be 35%. Rhinosinusitis was the most common radiological finding present in all patients at the time of diagnosis. Orbital involvement was detected in 10 patients (71%) and intracranial involvement in 9 patients (64%).

Conclusion: Magnetic resonance imaging has an important role in diagnosing and determining complications and managing the disease in patients with coronavirus disease 2019-associated rhino-orbito-cerebral mucormycosis.

Cite this article as: Akbaş B, Kaya B, Çavuşoğlu Akbaş A, et al. Evaluation of magnetic resonance imaging findings of COVID-19-related rhino-orbito-cerebral mucormycosis. Current Research in MRI, 2023;2(1):6-10.

EISSN 2822-2318