Pilot study on high-resolution radiological methods for the analysis of cerebrospinal fluid (CSF) shunt valves

CONCLUSIONS: This ex-vivo study demonstrates obstruction detection in cerebro-spinal fluid shunt valves, combining radiological methods with machine learning under conditions compatible to future in-vivo application. Results indicate that high-resolution contrast-enhanced subtraction radiography, possibly including time-series data, combined with machine-learning image analysis, has the potential to strongly improve the diagnostics of CSF shunt valve failures. The presented method is in principle suitable for in-vivo application, considering both measurement geometry and radiological dose. Further research is needed to validate these results on real-world data and to refine the employed methods. In combination, the presented methods enable comprehensive analysis of valve failure mechanisms, paving the way for improved product development and clinical diagnostics of CSF shunt valves.PMID:38104007 | DOI:10.1016/j.zemedi.2023.11.001

Source: Zeitschrift fur Medizinische Physik - December 16, 2023 Category: Radiology Authors: Martin P Pichotka Moritz Weigt Mukesch J Shah Maximilian F Russe Thomas Stein T Billoud J ürgen Beck Jakob Straehle Christopher L Schlett Dominik V Elverfeldt Marco Reisert Source Type: research