Publications by authors named "D Schellingerhout"
It remains unclear why unilateral proximal carotid artery occlusion (UCAO) causes benign oligemia in mice, yet leads to various outcomes (asymptomatic-to-death) in humans. We hypothesized that inhibition of nitric oxide synthase (NOS) both transforms UCAO-mediated oligemia into full infarction and expands pre-existing infarction. Using 900 mice, we i) investigated stroke-related effects of UCAO with/without intraperitoneal administration of the NOS inhibitor (NOSi) N-nitro-L-arginine methyl ester (L-NAME, 400 mg/kg); ii) examined the rescue effect of the NO-donor, molsidomine (200 mg/kg at 30 minutes); and iii) tested the impact of antiplatelet medications.
View Article and Find Full Text PDFHigh-grade gliomas are the most frequent primary brain tumors, yet extraneural metastasis is exceedingly rare. This is in part secondary to the relatively poor survival of these patients and likely the shielding effect of the blood-brain barrier. Given the rarity of extraneural metastasis, the pathophysiology and imaging appearance of extraneural metastasis is under-reported and poorly understood.
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- A multi-center MRI study investigated how white matter hyperintensity (WMH) affects recovery after stroke, focusing on different severity levels of ischemic stroke.
- Higher WMH levels were linked to worse outcomes three months later, but the impact varied based on initial stroke severity: mild strokes showed a dose-dependent effect while moderate-to-severe strokes had a threshold effect.
- The study found that WMH impacted 3-month recovery more significantly in those with mild strokes, suggesting that increased WMH burden worsens recovery, but its effect is less pronounced in more severe strokes.
Advanced MRI-based neuroimaging techniques, such as perfusion and spectroscopy, have been increasingly incorporated into routine follow-up protocols in patients treated for high-grade glioma (HGG), to help differentiate tumor progression from treatment effect. However, these techniques' influence on clinical management remains poorly understood. The purpose of this article was to evaluate the impact of MRI-based advanced neuroimaging on clinical decision-making in patients with HGG after treatment.
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- A study was conducted to develop deep learning algorithms for the automatic segmentation of white matter hyperintensity (WMH) lesions in patients with cerebral infarction, involving a large dataset of 8,421 patients from multiple hospitals in Korea.
- Two models, 2D UNet and SE-Unet, were trained and validated using FLAIR MRI images, with performance measured against a human-segmented gold standard using various statistical metrics.
- Results showed that while both models had good performance, the SE-Unet outperformed the UNet with higher average Dice Similarity Coefficients (DSCs) in both internal and external validations, indicating it was more reliable for WMH segmentation.