Iron Sucrose as MRI Contrast Agent in Ischemic Stroke Model

Mesenchymal Stem Cells With Polydopamine-Coated NaGdF4 Nanoparticles with Ca2+ Chelation Ability for Ischemic Stroke Therapy

Mesenchymal stem cells (MSCs) transplantation is a promising therapeutic strategy for ischemic stroke. However, the survival of transplanted MSCs is often compromised by the excessive levels of reactive oxygen species (ROS) and calcium ions (Ca2+) in the ischemic microenvironment following blood flow occlusion. In this study, a protective strategy is developed using functional nanomaterials to escort and shield MSCs. Specifically, NaGdF4@PDA-ALD nanoparticles (NPANs) are synthesized, featuring a NaGdF4 core coated with polydopamine (PDA) for ROS scavenging and further modified with alendronate sodium (ALD) for Ca2+ chelation. The internalization of NPANs by MSCs protected them from oxidative damage and calcium overload, thereby promoting their viability and functionality. Furthermore, NaGdF4 generated T1 signal enhancement, enabling in vivo tracking of MSCs via magnetic resonance imaging. The NPANs-treated MSCs demonstrated improved survival and migration to the ischemic region, promoting blood flow restoration and angiogenesis. These findings confirm the feasibility of employing functional nanoparticles to augment MSCs-based therapies, offering a promising strategy to improve their therapeutic efficacy in ischemic stroke treatment.

Imaging of Suspected Stroke in Children, From the AJR Special Series on Emergency Radiology

Pediatric stroke encompasses different causes, clinical presentations, and associated conditions across ages. Although it is relatively uncommon, pediatric stroke presents with poor short- and long-term outcomes in many cases. Because of a wide range of overlapping presenting symptoms between pediatric stroke and other more common conditions, such as migraine and seizures, stroke diagnosis can be challenging or delayed in children. When combined with a comprehensive medical history and physical examination, neuroimaging plays a crucial role in diagnosing stroke and differentiating stroke mimics. This review highlights the current neuroimaging workup for diagnosing pediatric stroke in the emergency department, describes advantages and disadvantages of different imaging modalities, highlights disorders that predispose children to infarct or hemorrhage, and presents an overview of stroke mimics. Key differences in the initial approach to suspected stroke between children and adults are also discussed.

Intelligent Algorithm-Based MRI Image Features for Evaluating the Effect of Nursing on Recovery of the Neurological Function of Patients with Acute Stroke

The aim of this study is to analyze the application of early rehabilitation nursing in nursing intervention of neurological impairment among patients with acute ischemic stroke. 116 patients with acute ischemic stroke were selected as the research subjects in this paper. The patients were divided into 58 experimental (early rehabilitation care) and 58 control (routine rehabilitation care) groups according to the difference of care protocols, all of which were performed magnetic resonance imaging on. An image resolution reconstruction algorithm on the basis of deep convolutional neural network is proposed for MRI image processing. The results show that peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) of the included algorithm were remarkably greater than those of compressed sensing (CS) algorithm and nonlocal similarity and block low rank prior-based NSBL algorithm. Running time was shorter than that of the latter two algorithms (P < 0.05). The neurological impairment scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in the control group (P < 0.05). The Barthel indexes of patients in the experimental group 3 and 5 weeks after treatment were obviously higher than those of patients in the control group (P < 0.05). FugI-Meyer assessment (FMA) and Disability of Arm-Shoulder-Hand (DASH) scores of patients in the experimental group 3 and 5 weeks after treatment were obviously lower than those of patients in control group (P < 0.05). The results show that the deep learning algorithm for MRI image processing performance is better than the traditional algorithm. It not only improves the image quality but also improves the processing efficiency. Early rehabilitation nursing and routine rehabilitation nursing can effectively improve the neurological deficit symptoms, limb motor function, and daily living ability of patients with acute ischemic stroke, and the effect of early rehabilitation nursing is the best.