Researchers at the University of Eastern Finland have identified new geometric markers in the ventricles that may help predict which patients with idiopathic normal pressure hydrocephalus (iNPH) will benefit from shunt surgery, according to a recent study published in 2008. Central nervous system fluids and barriers.
iNPH is a likely underdiagnosed disease in older adults characterized by abnormal gait, urinary urgency and incontinence, and decline in cognitive function. Unlike most dementias, iNPH stands out because symptoms often improve or reverse with timely shunt surgery. Neuroimaging is essential for the diagnosis of iNPH. However, current diagnostic markers are limited and cannot accurately predict which patients will benefit from treatment. As a result, a significant number of patients undergoing surgery may not benefit from surgery. This highlights the urgent need for more accurate diagnostic tools.
In this study, researchers used brain scans from 170 iNPH patients. They used advanced 3D imaging and machine learning to quantify and analyze the geometric features of the brain’s lateral ventricles to predict the success of surgical interventions. They found that the geometric marker asphericity was strongly associated with better surgical outcomes.
Our findings suggest that quantifying the 3D shape of the ventricles can provide important clues as to which patients are likely to benefit from surgery. This advancement brings us one step closer to better identifying iNPH patients who would truly benefit from complex brain surgery and saving many patients from the suffering of ineffective treatments. ”
Andrius Penkauskas, lead study author
This research project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Actions.
sauce:
University of Eastern Finland (UEF Communications)
Reference magazines:
Penkauskas, A. Others. (2026) Ventricular morphology markers in predicting shunt surgery outcome in idiopathic normal pressure hydrocephalus. Central nervous system fluid barrier. DOI: 10.1186/s12987-026-00788-4. https://link.springer.com/article/10.1186/s12987-026-00788-4
