Background And Objectives: The risk of developing Alzheimer disease is increased after stroke, and this association may not solely be driven by traditional vascular risk factors. Neuronal death leads to the release of tau proteins, which can become dephosphorylated, rephosphorylated, or hyperphosphorylated in the setting of ischemia, possibly leading to formation of neurofibrillary tangles (NFT). Therefore, a potential synergistic effect between development of tauopathy and cerebrovascular lesion burden may contribute to cognitive decline after stroke. We explored the spatial and temporal distribution of NFT after ischemic stroke in vivo by using F-MK-6240 PET.
Methods: We included patients with a first ischemic stroke to undergo longitudinal F-MK-6240 PET/MR within 2-4 weeks and 6 months after stroke. For cross-sectional analyses, we also included age-matched healthy controls. We delineated 5 volumes of interest based on T2 FLAIR and T1 MR data: the ischemic lesion, 3 consecutive peri-ischemic areas, and the remaining ipsilesional hemisphere. We performed region-based voxel-wise partial volume correction on the PET data and calculated standardized uptake value ratios (SUVRs) with the cerebellum as the reference region.
Results: We did not quantify PET scans of patients within the first month after stroke (n = 17; median age 73 years [interquartile range {IQR}: 62-82 years]) because the signal intensity was influenced by blood-brain barrier breakdown hampering a reliable data analysis. At 6 months after the event (n = 13; median age 71 years [IQR: 60-79 years]), F-MK-6240 SUVR was increased in the ischemic lesion compared with 20 age-matched healthy controls (median age 71.5 years [IQR: 66-76 years]; ratio = 1.62 ± 0.54; 1-sample test: = 0.0015) and gradually decreased in the surrounding tissue (1-way within-subject analysis of variance [F{1.2, 14.8} = 18.0, = 0.00043]).
Discussion: These findings suggest that NFT may form after ischemic stroke and spread in the peri-ischemic brain parenchyma. Further follow-up is required to gain more insight into the spatial and temporal dynamics of this tauopathy after ischemic stroke.
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http://dx.doi.org/10.1212/WNL.0000000000201344 | DOI Listing |
Neurol Int
November 2024
Department of Radiology, Section Neuroradiology, Lucerne Cantonal Hospital, 6000 Lucerne, Switzerland.
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November 2024
Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA.
Ischemic stroke is a major cause of mortality and disability and has become a significant public health concern among women. Overall, women have more ischemic stroke events than men, in part due to their longer life span, and also suffer from more severe stroke-related disabilities compared to men. Women are also more likely than men to present with atypical non-focal neurological symptoms, potentially leading to delayed diagnosis and treatment.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Deep learning has shown significant value in automating radiological diagnostics but can be limited by a lack of generalizability to external datasets. Leveraging the geometric principles of non-Euclidean space, certain geometric deep learning approaches may offer an alternative means of improving model generalizability. This study investigates the potential advantages of hyperbolic convolutional neural networks (HCNNs) over traditional convolutional neural networks (CNNs) in neuroimaging tasks.
View Article and Find Full Text PDFJ Imaging
November 2024
Research Laboratory: Networked Objects, Control and Communication Systems, NOCCS-ENISo, National Engineering School of Sousse, University of Sousse, Soussse 4023, Tunisia.
We propose a novel architecture, Transformer Dil-DenseUNet, designed to address the challenges of accurately segmenting stroke lesions in MRI images. Precise segmentation is essential for diagnosing and treating stroke patients, as it provides critical spatial insights into the affected brain regions and the extent of damage. Traditional manual segmentation is labor-intensive and error-prone, highlighting the need for automated solutions.
View Article and Find Full Text PDFJ Pers Med
December 2024
Santa Casa de São Paulo School of Medical Sciences, São Paulo 01224-001, Brazil.
: Studies suggest that the neutrophil/lymphocyte ratio (NLR) may be a prognostic marker for different diseases with inflammatory components. This study aimed to quantify the NLR in individuals affected by different subtypes and severities of ischemic stroke and associated it with risk factors and treatment, and compared the results with data from healthy individuals. : Clinical and laboratory data from medical records of patients over 18 years of age, victims of ischemic stroke, were collected.
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