Publications by authors named "W J M Niessen"
Article Synopsis
- Cerebral hypoperfusion, or reduced blood flow to the brain, may lead to brain injury and degeneration, but its long-term effects, especially in healthier older adults, are not well understood.
- This study tracked 3,623 healthy older adults over 11 years using brain scans to measure cerebral blood flow (CBF) and cerebrovascular resistance, aiming to examine changes in subclinical brain disease markers like white matter hyperintensities.
- Results showed that significant changes in CBF and increased cerebrovascular resistance were linked to a higher risk of progression in white matter hyperintensities, suggesting that monitoring blood flow can help identify potential brain health issues in older adults.
Background: Segmentations are crucial in medical imaging for morphological, volumetric, and radiomics biomarkers. Manual segmentation is accurate but not feasible in clinical workflow, while automatic segmentation generally performs sub-par.
Purpose: To develop a minimally interactive deep learning-based segmentation method for soft-tissue tumors (STTs) on CT and MRI.
Article Synopsis
- Subcortical brain structures play a crucial role in various developmental and psychiatric disorders, and a study analyzed brain volumes in 74,898 individuals, identifying 254 genetic loci linked to these volumes, which accounted for up to 35% of variation.
- The research included exploring gene expression in specific neural cell types, focusing on genes involved in intracellular signaling and processes related to brain aging.
- The findings suggest that certain genetic variants not only influence brain volume but also have potential causal links to conditions like Parkinson’s disease and ADHD, highlighting the genetic basis for risks associated with neuropsychiatric disorders.
Article Synopsis
- Subcortical brain structures play a crucial role in various disorders, and a study analyzed the genetic basis of brain volumes in nearly 75,000 individuals of European ancestry, revealing 254 loci linked to these volumes.
- The research identified significant gene expression in neural cells, relating to brain aging and signaling, and found that polygenic scores could predict brain volumes across different ancestries.
- The study highlights genetic connections between brain volumes and conditions like Parkinson's disease and ADHD, suggesting specific gene expression patterns could be involved in neuropsychiatric disorders.
Article Synopsis
- A study validated a radiomics model that uses MRI imaging to differentiate between lipomas and atypical lipomatous tumors (ALTs), addressing challenges associated with traditional biopsy methods.
- Three cohorts were analyzed: two for external validation from the US and UK and one for prospective validation from the Netherlands, utilizing automatic and interactive segmentation methods for tumor imaging.
- The model demonstrated strong performance with area under the curve (AUC) scores ranging from 0.74 to 0.89, matching or exceeding the diagnostic abilities of expert radiologists.