Assessment of VP Shunt Valve Settings Using Reconstructions from Non-Contrast Head CT: A Comparative Study with Conventional Radiographs

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Authors: Raya Juliane Ocker-Serger, Hanna Styczen, Y Li, Maximilian Schüßler, Marcel Klaus Opitz, Sebastian Zensen, Berk Yildirim, Laura Valentina Klüner, Benjamin Schröer, Johannes Haubold, Thiemo Florin Dinger, Philipp René Dammann
+4 more Ulrich Sure, Michael Forsting, Cornelius Deuschl, Denise Bos
Cited by: 0
References: 20

Abstract

PURPOSE: The aim of the study was to investigate whether the ventriculoperitoneal (VP) shunt valve setting can be reliably assessed using maximum intensity projection (MIP) reconstructions from non-contrast, full-dose head CT scans, and how this method performs in comparison to conventional lateral skull radiographs. METHODS: This retrospective study included 41 adult patients (mean age 59 ± 25 years) with Codman Certas programmable VP shunt valves who underwent lateral skull X‑ray and a same-day, non-contrast head CT scan between January and July 2024. From the CT data, MIP reconstructions of the valve region were generated. Three neuroradiologists, blinded to each other's assessments, independently rated valve settings and image quality using a 5-point Likert scale. Mean reconstruction time was recorded. Radiation dose data were extracted from institutional dose-monitoring software. RESULTS: 35.34 mGy (30.42; 40.32); mean reconstruction time 70 s). Image quality was rated lower for MIP (median 2 [IQR 2]) than for X‑ray (median 4 [IQR 1]; p < 0.001). In 45% of cases scanned with photon-counting CT, MIP quality was significantly higher (median 3 vs. 1; p < 0.001). Inter-reader reliability was good for MIPs (ICC = 0.82) and excellent for X‑rays (ICC = 0.97). CONCLUSION: MIP reconstructions from non-contrast head CT allow reliable VP shunt valve setting assessment and may reduce the need for additional radiographs, especially when advanced CT systems are used.

Fields of Study & Subjects

Cerebrospinal fluid and hydrocephalus Radiation Dose and Imaging Radiology practices and education

Publication details

Journal / source
Clinical Neuroradiology
Volume
36
Issue
2
Pages
545–551
Publication date
14 January 2026
Language
EN