Hebron University

About: Hebron University is a education organization based out in Hebron, Palestinian Territory. It is known for research contribution in the topics: Population & Cancer. The organization has 2714 authors who have published 4180 publications receiving 163736 citations.

Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis.

Abstract: Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.

Venous Phase of Computed Tomography Angiography Increases Spot Sign Detection, but Intracerebral Hemorrhage Expansion Is Greater in Spot Signs Detected in Arterial Phase

Abstract: Background and Purpose—Variability in computed tomography angiography (CTA) acquisitions may be one explanation for the modest accuracy of the spot sign for predicting intracerebral hemorrhage expansion detected in the multicenter Predicting Hematoma Growth and Outcome in Intracerebral Hemorrhage Using Contrast Bolus CT (PREDICT) study. This study aimed to determine the frequency of the spot sign in intracerebral hemorrhage and its relationship with hematoma expansion depending on the phase of image acquisition. Methods—PREDICT study was a prospective observational cohort study of patients with intracerebral hemorrhage presenting within 6 hours from onset. A post hoc analysis of the Hounsfield units of an artery and venous structure were measured on CTA source images of the entire PREDICT cohort in a core laboratory. Each CTA study was classified into arterial or venous phase and into 1 of 5 specific image acquisition phases. Significant hematoma expansion and total hematoma enlargement were recorded at 2...

Highly robust AgIO3/MIL-53 (Fe) nanohybrid composites for degradation of organophosphorus pesticides in single and binary systems: Application of artificial neural networks modelling

Abstract: A robust sunlight-driven AgIO3/MIL-53 (Fe) nanohybrid composite (NC) was successfully synthesised and characterised. The efficacy of the NC was estimated by decomposing two organophosphates pesticides (methyl malathion (MP) and chlorpyrifos (CP)) under sunlight irradiation. The degradation of MP and CP was strongly influenced by pH, catalyst dose and initial pesticide concentration. Under 60 min solar light illumination, ∼78–90% CP and MP were degraded individually in tap and distilled water, respectively. In binary mixture (MP + CP), ∼70% mineralisation was achieved within 180 min. The efficiency of NC is attributed to the prolonged separation of photogenerated carriers, a large concentration of surface hydroxyl groups and high specific surface area. Under artificial neural network (ANN) predicted conditions, 0.5 g NC, pH 5 and 2.5 mL of 50 mg/L Na2S2O8 are required for complete mineralisation of the pesticides.