1,227 research outputs found

    Site Tamper and Material Plow Tool - STAMP

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    A non-actuated tool has been developed for preparing regolith for in situ measurement by smoothing uneven surfaces and excavating fresher subsurface material for planetary exploration. The STAMP tool contains two tools to prepare regolith for in situ measurement: a tamper to smooth uneven surfaces, and a blade to excavate fresher subsurface material

    Diagnosis of osteoid osteoma using computed tomography

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    Osteoid osteoma is a benign lesion of bone generally diagnosed using conventional radiography or conventional tomography. Computed tomography can be used in difficult cases to localize a clinically suspected lesion. In this report we present two patients in whom an osteoid osteoma was detected using computed tomographic scanning; in an additional patient computed tomography failed to localize a lesion, probably because the slice thickness was too great. Because the nidus of the lesion is small--generally several millimeters in diameter--accurate CT localization requires that narrowly collimated, closely spaced sections be obtained.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/24977/1/0000404.pd

    Monoclonal antibodies labeled with polymeric paramagnetic ion chelates

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    Polymeric paramagnetic ion chelate molecules were synthesized and covalently linked to monoclonal antibodies. The labeled antibodies retained their antigen binding capacity in vitro while carrying up to an average of 50 paramagnetic ion chelates, enabling specifically bound antibody concentrations less than 2.0 Μ M to significantly reduce proton longitudinal relaxation times. © 1986 Academic Press, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/38480/1/1910030220_ftp.pd

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    No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/50314/1/410190427_ftp.pd

    Identification of brain lesions in neuropsychiatric systemic lupus erythematosus by magnetic resonance scanning

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    Cranial magnetic resonance imaging in 28 systemic lupus erythematosus patients who had experienced 30 acute neuropsychiatric events showed focal brain lesions in 16 of 30 events (53%) and low brain volume (atrophy) in 20 of 30 events (67%). Definite focal lesions were significantly more frequent in patients with clinically localized neurologic deficits (8 of 8, 100%), or seizures (5 of 6, 83%) than in patients without such localizing signs (3 of 16, 19%). Many of these lesions were occult on intravenous contrast-enhanced x-ray computed tomography. In 2 patients, lesions in gray matter resolved within 2 or 3 weeks, in association with clinical improvement. Magnetic resonance imaging is an important technique for detecting the extent of brain injury in cerebral lupus.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/37779/1/1780310202_ftp.pd

    Comparison of Dynamic Phase Enhancement of Hepatocellular Carcinoma using Gadoxetate Disodium versus Gadobenate Dimeglumine

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    Objective: To determine the differences in enhancement of hepatocellular carcinoma during the first 5 minutes of postcontrast phases with gadoxetic acid (Gd-EOB-DTPA) vs gadobenate dimeglumine. Methods: Ninety-five cirrhotic patients with hepatocellular carcinoma were examined on a 1.5-T scanner: 74 patients with Gd-BOPTA and 21 patients with Gd-EOB-DTPA. Same magnetic resonance imaging parameters were used for both groups. Gadoxetate isodium was administered at a dose of 0.025 mmol/kg; and Gd-BOPTA, at a dose of 0.1 mmol/kg. Results: Mean contrast-to-noise ratios (CNR) were similar in arterial (P = 0.3), portal venous (P = 0.1), and 5-minute delayed phases (P = 0.73). The CNRs of lesions in the Gd-EOB-DTPA group were lower in arterial phase, although this did not reach statistical significance. The CNRs of Gd-EOB-DTPA during the equilibrium phase was higher (P = 0.006). Conclusions: Gadoxetate isodium resulted in lower CNR during the arterial phase and higher CNR during the portal venous, equilibrium, and 5-minute delayed phases compared with gadobenate dimeglumine using the Food and Drug Administration–approved doses; however, overall, there was no statistical significance (P = 0.077)

    The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

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    © 2019, The Author(s). The single nucleotide polymorphism (SNP) rs744373 in the bridging integrator-1 gene (BIN1) is a risk factor for Alzheimer’s disease (AD). In the brain, BIN1 is involved in endocytosis and sustaining cytoskeleton integrity. Post-mortem and in vitro studies suggest that BIN1-associated AD risk is mediated by increased tau pathology but whether rs744373 is associated with increased tau pathology in vivo is unknown. Here we find in 89 older individuals without dementia, that BIN1 rs744373 risk-allele carriers show higher AV1451 tau-PET across brain regions corresponding to Braak stages II–VI. In contrast, the BIN1 rs744373 SNP was not associated with AV45 amyloid-PET uptake. Furthermore, the rs744373 risk-allele was associated with worse memory performance, mediated by increased global tau levels. Together, our findings suggest that the BIN1 rs744373 SNP is associated with increased tau but not beta-amyloid pathology, suggesting that alterations in BIN1 may contribute to memory deficits via increased tau pathology

    Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

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    © 2020, The Author(s). Causal Structure Discovery (CSD) is the problem of identifying causal relationships from large quantities of data through computational methods. With the limited ability of traditional association-based computational methods to discover causal relationships, CSD methodologies are gaining popularity. The goal of the study was to systematically examine whether (i) CSD methods can discover the known causal relationships from observational clinical data and (ii) to offer guidance to accurately discover known causal relationships. We used Alzheimer’s disease (AD), a complex progressive disease, as a model because the well-established evidence provides a “gold-standard” causal graph for evaluation. We evaluated two CSD methods, Fast Causal Inference (FCI) and Fast Greedy Equivalence Search (FGES) in their ability to discover this structure from data collected by the Alzheimer’s Disease Neuroimaging Initiative (ADNI). We used structural equation models (which is not designed for CSD) as control. We applied these methods under three scenarios defined by increasing amounts of background knowledge provided to the methods. The methods were evaluated by comparing the resulting causal relationships with the “gold standard” graph that was constructed from literature. Dedicated CSD methods managed to discover graphs that nearly coincided with the gold standard. For best results, CSD algorithms should be used with longitudinal data providing as much prior knowledge as possible
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