Publications by authors named "A M Tabari"
PPT is a life-threatening intracranial complication, which is essential to be considered in both children and adults presenting with sinusitis symptoms.
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- Prostate cancer is a prevalent and serious health issue for men, and this study aims to evaluate how effective radiomics is in predicting the cancer grade.
- The research systematically reviewed 43 studies involving nearly 10,000 patients, using advanced imaging techniques and established quality assessment tools to analyze data.
- Results indicate that radiomics models show high accuracy in predicting prostate cancer grades, suggesting they could enhance traditional diagnostic methods and improve clinical decision-making.
Introduction: Coronavirus disease 2019 (COVID-19) has been associated with secondary fungal infections such as mucormycosis. We investigated the relapse rate of mucormycosis and its risk factors.
Methodology: A prospective study was conducted on COVID-19-associated mucormycosis (CAM) patients discharged from Imam Khomeini Hospital Complex, Tehran, Iran, from July 2021 to February 2022.
Article Synopsis
- The study aimed to find a connection between machine learning-analyzed CT body composition and 90-day mortality rates after a medical procedure called transjugular intrahepatic portosystemic shunt (TIPS), while also comparing it to the existing MELD score for mortality prediction.
- Researchers conducted a retrospective analysis involving 122 patients who had CT scans before their TIPS procedure and were tracked for at least 90 days post-surgery.
- Results showed that higher MELD scores and lower skeletal muscle and fat measurements were associated with increased 90-day mortality, indicating that certain body composition metrics could help predict patient outcomes alongside the MELD score.
Background: Three-dimensional (3D) T1-weighted MRI sequences such as the magnetization prepared rapid gradient echo (MPRAGE) sequence are important for assessing regional cortical atrophy in the clinical evaluation of dementia but have long acquisition times and are prone to motion artifact. The recently developed Scout Accelerated Motion Estimation and Reduction (SAMER) retrospective motion correction method addresses motion artifact within clinically-acceptable computation times and has been validated through qualitative evaluation in inpatient and emergency settings.
Methods: We evaluated the quantitative accuracy of morphometric analysis of SAMER motion-corrected compared to non-motion-corrected MPRAGE images by estimating cortical volume and thickness across neuroanatomical regions in two subject groups: (1) healthy volunteers and (2) patients undergoing evaluation for dementia.