Publications by authors named "Jacob Agris"

Repeated injections of linear gadolinium-based contrast agent (GBCA) have shown correlations with increased signal intensities (SI) on unenhanced T1-weighted (T1w) images. Assessment is usually performed manually on a single slice and the SI as an average of a freehand region-of-interest is reported. We aim to develop a fully automated software that segments and computes SI ratio of dentate nucleus (DN) to pons (DN/P) and globus pallidus (GP) to thalamus (GP/T) for the assessment of gadolinium presence in the brain after a serial GBCA administrations.

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Purpose: To compare the performance of magnetic resonance angiography (MRA) with 1M gadobutrol, a high relaxivity macrocyclic contrast agent, to 2D time-of-flight MRA (ToF-MRA) using computed tomographic angiography (CTA) as the standard of reference. Primary objectives were evaluation for superiority of structural delineation and noninferiority for detection and exclusion of clinically significant disease.

Materials And Methods: In all, 315 subjects underwent unenhanced and contrast-enhanced MRA with 1M gadobutrol (CE-MRA) and were scanned with 1.

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KEY POINTS : The study by Stojanov et al does not convincingly support the conclusion that gadobutrol causes higher T1 enhancement in brain on unenhanced MRI. The study by Stojanov et al does not rule out confounding factors . The study by Stojanov et al has limitations in study design.

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Purpose: Contrast-enhanced magnetic resonance imaging (MRI) of the central nervous system (CNS) with gadolinium-based contrast agents (GBCAs) is standard of care for CNS imaging and diagnosis because of the visualization of lesions that cause blood-brain barrier breakdown. Gadobutrol is a macrocyclic GBCA with high concentration and high relaxivity. The objective of this study was to compare the safety and efficacy of gadobutrol 1.

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Purpose: Gadobutrol is a 1.0 M macrocyclic magnetic resonance imaging (MRI) contrast agent. A study was performed to evaluate the efficacy and safety of gadobutrol-enhanced versus unenhanced imaging for central nervous system (CNS) lesion visualization and detection.

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