Quantifying the 3D geometry of the brain ventricles can provide important clues about which patients are likely to benefit from surgery
Andrius Penkauskas
In this study, researchers used brain scans from 170 patients with iNPH. Using advanced 3D imaging and machine learning, they quantified and analysed the geometric features of the brain’s lateral ventricles to predict the success of surgical intervention. They found that a geometric marker, asphericity, was strongly associated with better surgical outcomes.
“Our findings suggest that quantifying the 3D geometry of the brain ventricles can provide important clues about which patients are likely to benefit from surgery,” said the study’s lead author, Andrius Penkauskas. “This advancement brings us a step closer to better identifying iNPH patients who will truly benefit from complex brain surgery and sparing many from the suffering of ineffective treatment.”
This research project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions.
Source: University of Eastern Finland