Publications by authors named "J Virhammar"
When and how are complications suspected after shunt surgery in patients with normal pressure hydrocephalus?
Acta Neurochir (Wien)
January 2025
Purpose: The follow-up routine for patients with idiopathic normal pressure hydrocephalus (iNPH) after shunt surgery differs across medical centers. Shunt surgery is not without risks, with complications emerging at various times after the procedure. The aim was to explore the timing and methods of detecting complications following ventriculoperitoneal shunt surgery for iNPH.
View Article and Find Full Text PDFLong-term symptoms such as pain, fatigue, and cognitive impairments are commonly observed in individuals affected by coronavirus disease 2019 (COVID-19). Metabolites of the kynurenine pathway have been proposed to account for cognitive impairment in COVID-19 patients. Here, cerebrospinal fluid (CSF) and plasma levels of kynurenine pathway metabolites in 53 COVID-19 patients and 12 non-inflammatory neurological disease controls in Sweden were measured with an ultra-performance liquid chromatography-tandem mass spectrometry system (UPLC-MS/MS) and correlated with immunological markers and neurological markers.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates the inflammatory response of the central nervous system (CNS) to traumatic brain injury (TBI) using mass-spectrometry, comparing it to other CNS injuries and healthy controls.
- A total of 56 patients' cerebrospinal fluid (CSF) was analyzed, revealing significant differences in protein concentrations, with 55 proteins differing between TBI and noninfectious CNS disorders and 51 proteins differing between TBI and healthy controls.
- Notably, two proteins were uniquely identified in all TBI samples, and the study emphasizes the complexity of the inflammatory responses in various CNS conditions.
Background: Brain computed tomography (CT) is an accessible and commonly utilized technique for assessing brain structure. In cases of idiopathic normal pressure hydrocephalus (iNPH), the presence of ventriculomegaly is often neuroradiologically evaluated by visual rating and manually measuring each image. Previously, we have developed and tested a deep-learning-model that utilizes transfer learning from magnetic resonance imaging (MRI) for CT-based intracranial tissue segmentation.
View Article and Find Full Text PDFBackground And Purpose: Differentiating idiopathic normal pressure hydrocephalus (iNPH) from neurodegenerative disorders such as progressive supranuclear palsy (PSP), Multiple System Atrophy-parkinsonian type (MSA-P), and vascular dementia (VaD) is challenging due to overlapping clinical and neuroimaging findings. This study assesses if quantitative brain stem and cerebellum metrics can aid in this differentiation.
Methods: We retrospectively compared the sagittal midbrain area, midbrain to pons ratio, MR parkinsonism index (MRPI), and cerebellar atrophy in 30 PSP patients, 31 iNPH patients, 27 MSA-P patients, 32 VaD patients, and 25 healthy controls.