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Brain hyperintensities in magnetic resonance imaging of patients with mild acute focal neurology.

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Title: Brain hyperintensities in magnetic resonance imaging of patients with mild acute focal neurology.
Authors: Varsou, Ourania (AUTHOR), Turnbull, Katie (AUTHOR), Stringer, Michael S (AUTHOR), Fernandes, Catarina Dinis (AUTHOR), Murray, Alison D (AUTHOR), Schwarzbauer, Christian (AUTHOR), Macleod, Mary Joan (AUTHOR)
Source: Neurological Sciences. Jun2020, Vol. 41 Issue 6, p1633-1635. 3p. 1 Chart.
Subjects: Magnetic resonance imaging, Transient ischemic attack, Systolic blood pressure, Neurology, Diagnostic imaging
Abstract: Purpose: Hyperintensities are common in neuroimaging scans of patients with mild acute focal neurology. However, their pathogenic role and clinical significance is not well understood. We assessed whether there was an association between hyperintensity score with diagnostic category and clinical assessments/measures.Methods: One hundred patients (51 ± 12 years; 45:55 women:men), with symptomatology suggestive of short duration ischemia referred for magnetic resonance imaging, were prospectively recruited in NHS Grampian between 2012 and 2014. Hyperintensities were quantified, on T2 and FLAIR, using the Scheltens score.Results: The most frequent diagnosis was minor stroke (33%), migraine (25%) and transient ischemic attack (17%). The mean total Scheltens score was 28.49 ± 11.93 with all participants having various loads of hyperintensities. Statistically significant correlations between hyperintensity scores and clinical assessments/measures (age, systolic blood pressure, pulse pressure, MoCA) at the global level were also reflected regionally. These provide further supporting data in terms of the robustness of the Scheltens scale.Conclusion: Hyperintensities could serve as a diagnostic and prognostic imaging biomarker for patients, presenting with mild acute focal neurology, warranting application of automated quantification methods. However, larger cohorts are required to provide a definitive answer especially as this is a heterogenous group of patients. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Brain hyperintensities in magnetic resonance imaging of patients with mild acute focal neurology.
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  Data: <searchLink fieldCode="AR" term="%22Varsou%2C+Ourania%22">Varsou, Ourania</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turnbull%2C+Katie%22">Turnbull, Katie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stringer%2C+Michael+S%22">Stringer, Michael S</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fernandes%2C+Catarina+Dinis%22">Fernandes, Catarina Dinis</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Murray%2C+Alison+D%22">Murray, Alison D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schwarzbauer%2C+Christian%22">Schwarzbauer, Christian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Macleod%2C+Mary+Joan%22">Macleod, Mary Joan</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Jun2020, Vol. 41 Issue 6, p1633-1635. 3p. 1 Chart.
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  Data: <searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Transient+ischemic+attack%22">Transient ischemic attack</searchLink><br /><searchLink fieldCode="DE" term="%22Systolic+blood+pressure%22">Systolic blood pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Neurology%22">Neurology</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink>
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  Data: <bold>Purpose: </bold>Hyperintensities are common in neuroimaging scans of patients with mild acute focal neurology. However, their pathogenic role and clinical significance is not well understood. We assessed whether there was an association between hyperintensity score with diagnostic category and clinical assessments/measures.<bold>Methods: </bold>One hundred patients (51 ± 12 years; 45:55 women:men), with symptomatology suggestive of short duration ischemia referred for magnetic resonance imaging, were prospectively recruited in NHS Grampian between 2012 and 2014. Hyperintensities were quantified, on T2 and FLAIR, using the Scheltens score.<bold>Results: </bold>The most frequent diagnosis was minor stroke (33%), migraine (25%) and transient ischemic attack (17%). The mean total Scheltens score was 28.49 ± 11.93 with all participants having various loads of hyperintensities. Statistically significant correlations between hyperintensity scores and clinical assessments/measures (age, systolic blood pressure, pulse pressure, MoCA) at the global level were also reflected regionally. These provide further supporting data in terms of the robustness of the Scheltens scale.<bold>Conclusion: </bold>Hyperintensities could serve as a diagnostic and prognostic imaging biomarker for patients, presenting with mild acute focal neurology, warranting application of automated quantification methods. However, larger cohorts are required to provide a definitive answer especially as this is a heterogenous group of patients. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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