
Neuroradiological manifestations of COVID-19 differ by the severity of the disease, according to a literature review published August 29 in Academic Radiology. The results could help clinicians better understand neurological expressions of COVID-19.
"An increasing number of neurological complications and corresponding radiological findings have been reported in patients with COVID-19 infection," wrote a team led by Simon Pan, PhD, of the University of California, San Francisco. "[We sought] to systematically review the current literature on COVID-19-associated neuroradiological findings and examine the prevalence of different findings in patients with both severe and mild COVID-19 infection."
Pan and colleagues conducted a literature search of PubMed and Embase, gathering 61 studies published between 2019 and 2020 that reported CT and MRI neuroimaging findings in 711 patients with confirmed COVID-19 disease. The group tracked patient demographics, main imaging findings, neurological symptoms, and severity of COVID-19 disease.
Common neurological findings in patients with mild illness included the following:
- Cranial nerve abnormalities
- Ischemic infarction
- White-matter abnormalities
Common findings in patients with severe disease included the following:
- White-matter abnormalities
- Ischemic infarction
- Hemorrhagic events
"Cranial nerve abnormalities appear exclusive to mild infection, with a high degree of olfactory tract involvement, while hemorrhagic events are more common in severe infection," the team concluded. "Notably, ischemic infarction was equally prevalent in both mild and severe COVID-19 infection. Healthcare providers treating COVID-19 patients should be aware of these potential complications and consider neurological assessment and neuroimaging studies when indicated."

















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)



