Publications by authors named "Z Stewart"

Rationale: Several studies have reported associations between substance use and effort-related decision making, or the degree to which effort expenditure impacts the choice between lower and higher value rewards. However, previous research has not explored effort-related decision making in populations with severe substance use disorder.

Objectives: Investigate the association between effort-related decision-making and substance use disorder severity.

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Acetabular labral tears are a mechanical cause of hip pain. Hip MR imaging should be performed on 3T magnets using small field of view and high-resolution imaging. If using a lower strength magnet, direct arthrography should be performed.

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Article Synopsis
  • The study investigates how different respiratory viruses affect asthma exacerbations in children aged 4 to 18 who seek treatment in the emergency department (ED).
  • Results showed that 86% of children tested positive for viruses, with rhinovirus A leading to milder symptoms and better treatment responses, while enterovirus D68 was linked to more severe cases and poor treatment outcomes.
  • The findings suggest that identifying the specific virus early could improve management and outcomes for pediatric asthma exacerbations.
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Objectives: To assess if Lisfranc injury can be detected by US with and without abduction stress.

Methods: Eight cadaveric feet were obtained. The following measurements were obtained in the uninjured feet: C1M2 and C1C2 intervals and TMT1 and TMT2 dorsal step-off distances.

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This study introduces a novel image reconstruction technique based on a diffusion model that is conditioned on the native data domain. Our method is applied to multi-coil MRI and quantitative MRI (qMRI) reconstruction, leveraging the domain-conditioned diffusion model within the frequency and parameter domains. The prior MRI physics are used as embeddings in the diffusion model, enforcing data consistency to guide the training and sampling process, characterizing MRI k-space encoding in MRI reconstruction, and leveraging MR signal modeling for qMRI reconstruction.

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