Background: Magnetic resonance imaging (MRI) helps in the diagnosis of neurologic Wilson's disease (WD). The literature regarding MR spectroscopy (MRS) and diffusion-weighted imaging (DWI) in WD is limited.
Objectives: To evaluate the clinical features and neuroimaging findings in drug-naïve neurologic WD and to find correlation between clinical stage and disease duration with different imaging findings.
Materials And Methods: The study subjects included consecutive and follow-up neurologic WD patients attending movement disorder clinic. The initial clinical and MRI features before commencement of chelation therapy were noted. Of 78 patients, 34 underwent DWI study and MRS was done in 38 patients and in 32 control subjects.
Results: Dystonia, dysarthria, tremor, and behavioral abnormality were common presenting features. All patients had MRI abnormality with major affection of basal ganglia. The clinical severity and anatomical extent of MRI abnormalities were positively correlated (P < 0.001; r s = 0.709). Presence of diffusion restriction was inversely related to duration of disease (P < 0.001; r s = 0.760). WD patients had reduced N-acetylaspartate/creatine (Cr) and choline (Cho)/Cr ratio (P < 0.001) as compared with control subjects in MRS study.
Conclusion: Dystonia, dysarthria and tremor are common neurological features of WD. In this study, MRI abnormalities were positively correlated with disease severity; diffusion restriction was inversely correlated with the duration of the disease process. MRS was also a sensitive tool for diagnosing patient of neurologic WD.
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http://dx.doi.org/10.4103/0028-3886.132349 | DOI Listing |
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
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J Infect Dev Ctries
December 2024
Nephrology Department, UHC Mother Tereza, Tirane, Albania.
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Department of Dermatology and Venereology, Faculty of Medicine, University of Aleppo, Aleppo, Syria.
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Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
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Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea.
Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by the 'black-box' nature. In this study, we present SleepXViT, an automatic sleep staging system using Vision Transformer (ViT) that provides intuitive, consistent explanations by mimicking human 'visual scoring'.
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