Black blood turbo spin echo (TSE) imaging of the right ventricle (RV) free wall is highly sensitive to cardiac motion, frequently resulting in nondiagnostic images. Temporal and spatial parameters of a black blood TSE pulse sequence were evaluated for visualization of the RV free wall. Seventy-four patient studies were retrospectively evaluated for the effects of acquisition timing on image quality. Axial black blood TSE images were acquired on 10 healthy volunteers to assess the role of spatial misregistration on right ventricle visualization; increasing the double inversion recovery (DIR) slice thickness beyond 300% had no effect on image quality (P = 0.2). Thirty-five patient studies were prospectively evaluated with inversion times (TIs) corresponding to the mid-diastolic rest period and end-systole based on visual analysis of a four chamber cine. When TIs were chosen to be within the patients' RV rest period, mean image quality score was significantly improved (2.3 vs 1.86; P < 0.001) and the number of clinically diagnostic images increased from 32% to 46%. Black blood TSE imaging of the RV free wall is highly sensitive to cardiac motion. Image quality can be improved by choosing TIs concordant with the rest period of the patient's RV that may occur at mid-diastole or end-systole.
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http://dx.doi.org/10.1002/mrm.21864 | DOI Listing |
Alzheimers Dement
December 2024
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA.
Background: APOE genotype is the most important genetic risk factor for Alzheimer's disease (AD), but whether it affects the proteins associated with AD risk is unclear. Circulating proteins may reveal biology underlying pathologic processes.
Methods: We evaluated log2 standardized levels of 4979 proteins quantified using modified aptamer technology [SomaScan] in plasma from 2725 participants in the Cardiovascular Health Study who were free of dementia and stroke.
Alzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: The identification of novel blood-based biomarkers of small vessel disease of the brain (SVD) may improve pathophysiologic understanding and inform the development of new therapeutic strategies for prevention. We evaluated plasma proteomic associations of white matter fractional anisotropy (WMFA), white matter hyperintensity (WMH) volume, enlarged perivascular space (ePVS) volume, and the presence of microbleeds (MB) on brain magnetic resonance imaging (MRI) in the population-based Multi-Ethnic Study of Atherosclerosis (MESA).
Methods: Eligible MESA participants had 2941 plasma proteins measured from stored blood samples (collected in 2016-2018) using the antibody-based Olink proteomics platform, and completed brain MRI scans in 2018-2019.
Background: Biomarkers, such as blood p-tau181, p-tau217, and p-tau231, have been created and verified to mirror the pathophysiology of tau and amyloid-β (Aβ) in the brain . Sleep spindles are known to contribute to memory consolidation and generalization and may therefore be a promising biomarker in preclinical Alzheimer's Disease (AD) . The present study investigated the relationship between sleep spindles and p-tau levels in cognitively healthy older African Americans.
View Article and Find Full Text PDFBackground: Canada and the United States are both aging and becoming increasingly diverse. Despite this demographic shift, non-White racial/ethnic groups remain underrepresented in research on cognitive impairment and dementia. A major barrier to inclusivity is the lack of cognitive assessments that are valid in individuals with diverse language and cultural backgrounds.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Background: Uniform manifold approximation and projection (UMAP) is a technique for dimension reduction and visualization of high-dimensional (HD) data. Here, we apply UMAP to represent in two dimensions, data from members of the Wake Forest School of Medicine Alzheimer's Disease Research Center (WFUSM-ADRC) clinical cohort.
Methods: We examined baseline data from 542 WFUSM-ADRC participants with mean age 70.
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