Clinical and Neuroimaging Correlation in Patients with COVID-19

Yoon, Byung Chul; Buch, Karen; Lang, Min; Applewhite, Brooks P.; Li, M D; Mehan, William A.; Leslie‐Mazwi, Thabele M; Rincon, Sandra

doi:10.3174/ajnr.a6717

Cited by 31 publications

(37 citation statements)

References 26 publications

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“…The rate of microhemorrhage and/or intracranial hemorrhage in our study was 3.4%, which was lower than the rates reported by Sawlani et al (9%) and Yoon et al (6%) [ 19 , 20 ]. The most important reasons for these differences may be associated with the nonhomogeneity of the selected cohorts (accompanying comorbidity and other demographic characteristics) and the choice of imaging modality.…”

Section: Discussioncontrasting

confidence: 84%

Correlation of Neuroimaging Findings with Clinical Presentation and Laboratory Data in Patients with COVID-19: A Single-Center Study

Kavak

Yıldırım

Altındağ

et al. 2021

BioMed Research International

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Background. This study was aimed at revealing neuroimaging findings in COVID-19 patients and at discussing their relationship with epidemiological data and some laboratory parameters. Materials and Method. This study included 436 cases of COVID-19 and 40 cases of non-COVID-19 acute/subacute thromboembolism who underwent at least one neuroimaging procedure due to neurological symptoms between April 2020 and December 2020. The group of COVID-19-positive acute/subacute thromboembolism cases was compared with both the group of normal brain imaging cases and the non-COVID-19 acute/subacute thromboembolism group in terms of demographic data and laboratory parameters. Results. When the acute/subacute thromboembolism group and neuroimaging findings were compared in terms of negative group, presence of comorbid disease, D-dimer level, and lymphocyte count in COVID-19 patients, a statistically significant difference was found ( p = 0.047 , 0.014, and <0.001, respectively). COVID-19-positive and COVID-19-negative acute/subacute thromboembolism cases that were compared in terms of gender, neuroimaging reason, C-reactive protein, D-dimer level and lymphocyte count, a statistically significant difference was found ( p = 0.003 , <0.001, 0.005, 0.02, and <0.001, respectively). Conclusion. Acute thromboembolic events are common in patients with COVID-19 due to a potentially increased procoagulant process. Neurological evaluation and, if necessary, detailed neuroimaging should be performed, especially in cases with high D-dimer levels.

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Section: Discussioncontrasting

confidence: 84%

Correlation of Neuroimaging Findings with Clinical Presentation and Laboratory Data in Patients with COVID-19: A Single-Center Study

Kavak

Yıldırım

Altındağ

et al. 2021

BioMed Research International

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“…Similar to prior reports, the presence of acute neuroimaging findings in our study was associated with an increased length of hospital stay, increased risk of requiring ICU admission, and risk of intubation. 14,23 Acute ischemic and hemorrhagic strokes, the most common neuroimaging manifestation, have been reported to be a strong prognostic maker for poor clinical outcome in patients with COVID-19. 14 While ischemic and hemorrhagic strokes were also the most common neuroimaging findings in our study population, mortality was not significantly different between patients with acute neuroimaging findings and those without them.…”

Section: Discussionmentioning

confidence: 99%

Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

Lang

Jiang

et al. 2021

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: Severe respiratory distress in patients with COVID-19 has been associated with higher rate of neurologic manifestations. Our aim was to investigate whether the severity of chest imaging findings among patients with coronavirus disease 2019 (COVID-19) correlates with the risk of acute neuroimaging findings. MATERIALS AND METHODS:This retrospective study included all patients with COVID-19 who received care at our hospital between March 3, 2020, and May 6, 2020, and underwent chest imaging within 10 days of neuroimaging. Chest radiographs were assessed using a previously validated automated neural network algorithm for COVID-19 (Pulmonary X-ray Severity score). Chest CTs were graded using a Chest CT Severity scoring system based on involvement of each lobe. Associations between chest imaging severity scores and acute neuroimaging findings were assessed using multivariable logistic regression.RESULTS: Twenty-four of 93 patients (26%) included in the study had positive acute neuroimaging findings, including intracranial hemorrhage (n ¼ 7), infarction (n ¼ 7), leukoencephalopathy (n ¼ 6), or a combination of findings (n ¼ 4). The average length of hospitalization, prevalence of intensive care unit admission, and proportion of patients requiring intubation were significantly greater in patients with acute neuroimaging findings than in patients without them (P , .05 for all). Compared with patients without acute neuroimaging findings, patients with acute neuroimaging findings had significantly higher mean Pulmonary X-ray Severity scores (5.0 [SD, 2.9] versus 9.2 [SD, 3.4], P , .001) and mean Chest CT Severity scores (9.0 [SD, 5.1] versus 12.1 [SD, 5.0], P ¼ .041). The pulmonary x-ray severity score was a significant predictor of acute neuroimaging findings in patients with COVID-19. CONCLUSIONS:Patients with COVID-19 and acute neuroimaging findings had more severe findings on chest imaging on both radiographs and CT compared with patients with COVID-19 without acute neuroimaging findings. The severity of findings on chest radiography was a strong predictor of acute neuroimaging findings in patients with COVID-19.

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“…al. demonstrated that the most frequently involved vascular territory was the middle cerebral artery (MCA) followed by posterior circulation (posterior cerebral artery (PCA)), posterior inferior cerebral artery (PICA)), multiterritorial infarcts, and watershed infarcts ( 85 ). Radiographically, stroke is often first imaged with emergent non-contrast CT which may exhibit foci of hypoattenuation ( Figure 6 A,B), loss of the insular ribbon sign, blurred margins of the lentiform nucleus, or the dense MCA sign ( Figure 6 C).…”

Section: Neurologic Systemmentioning

confidence: 99%

Pathophysiology and Imaging Findings of COVID-19 Infection: An Organ-system Based Review

Km¹,

Yang

West

et al. 2021

Academic Radiology

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Background: COVID-19 commonly presents with upper respiratory symptoms; however, studies have shown that SARS-CoV-2 infection affects multiple organ systems. Here, we review the pathophysiology and imaging characteristics of SARS-CoV-2 infection in organ systems throughout the body and explore commonalities. Objective: Familiarity with the underlying pathophysiology and imaging characteristics is essential for the radiologist to recognize these findings in patients with COVID-19 infection. Though pulmonary findings are the most prevalent presentation, COVID-19 may have multiple manifestations and recognition of the extrapulmonary manifestations is especially important because of the potential serious and long-term effects of COVID-19 on multiple organ systems.

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Clinical and Neuroimaging Correlation in Patients with COVID-19

Cited by 31 publications

References 26 publications

Correlation of Neuroimaging Findings with Clinical Presentation and Laboratory Data in Patients with COVID-19: A Single-Center Study

Correlation of Neuroimaging Findings with Clinical Presentation and Laboratory Data in Patients with COVID-19: A Single-Center Study

Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

Pathophysiology and Imaging Findings of COVID-19 Infection: An Organ-system Based Review

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