Publications by authors named "L J Abernethy"

Objective: Investigate the performance of qualitative review (QR) for assessing dynamic susceptibility contrast (DSC-) MRI data quality in paediatric normal brain and develop an automated alternative to QR.

Methods: 1027 signal-time courses were assessed by Reviewer 1 using QR. 243 were additionally assessed by Reviewer 2 and % disagreements and Cohen's κ (κ) were calculated.

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Individuals belonging to ethnic minority groups are less likely to experience symptoms of psychosis, such as paranoia, if they live in areas with high proportions of people from the same ethnic background. This effect may be due to processes associated with group belonging (social identification). We examined whether the relationship between perceived discrimination and paranoia was moderated by explicit and implicit Pakistani/English identification among students of Pakistani heritage (N = 119).

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Background: Relative cerebral blood volume (rCBV) measured using dynamic susceptibility-contrast MRI can differentiate between low- and high-grade pediatric brain tumors. Multicenter studies are required for translation into clinical practice.

Objective: We compared leakage-corrected dynamic susceptibility-contrast MRI perfusion parameters acquired at multiple centers in low- and high-grade pediatric brain tumors.

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Article Synopsis
  • MRS (Magnetic Resonance Spectroscopy) combined with machine learning shows high accuracy in diagnosing childhood brain tumors, particularly when selecting the right metabolites for classification.
  • The study evaluates metabolite selection for tumors like ependymoma, medulloblastoma, and pilocytic astrocytoma, using data from various patient cohorts and comparing different methods for analyzing metabolite concentrations.
  • Key metabolites identified as crucial for tumor classification include myo-inositol, total lipids, and glycine, with improved classification accuracy—up to 85%—when these metabolites are used instead of traditional principal component analysis.
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H-magnetic resonance spectroscopy (MRS) provides noninvasive metabolite profiles with the potential to aid the diagnosis of brain tumours. Prospective studies of diagnostic accuracy and comparisons with conventional MRI are lacking. The aim of the current study was to evaluate, prospectively, the diagnostic accuracy of a previously established classifier for diagnosing the three major childhood cerebellar tumours, and to determine added value compared with standard reporting of conventional imaging.

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