Evidence map›Paper›PMID 42662521›Full record

ArticleBrain & spine2026

Intraoperative cone-beam CT for real-time quality control in CSF shunt surgery: a prospective workflow study.

Lina-Elisabeth Qasem, Dilara Karakaya, Christian Seemann, Nadine Angelika Döpke, Leonhard Mann, Fee Keil, Fatma Kilinç, Paul Kendlbacher, Marcus Czabanka, Vincent Prinz

Abstract read
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Article in Brain & spine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Lina-Elisabeth QasemGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Dilara KarakayaGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Christian SeemannGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Nadine Angelika DöpkeGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Leonhard MannGoethe University, University Hospital Frankfurt am Main, Department of Neuroradiology, Frankfurt am Main, Germany.
Fee KeilGoethe University, University Hospital Frankfurt am Main, Department of Neuroradiology, Frankfurt am Main, Germany.
Fatma KilinçGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Paul KendlbacherGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Marcus CzabankaGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.
Vincent PrinzGoethe University, University Hospital Frankfurt am Main, Department of Neurosurgery, Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postoperative CT is routinely performed after cerebrospinal fluid (CSF) shunt implantation to verify catheter position. Intraoperative cone-beam CT (iCBCT) enables real-time verification and may obviate routine postoperative CT. Research question: Does an iCBCT-based workflow reduce radiation exposure and permit omission of routine postoperative CT? Methods: This interim analysis of an ongoing, prospective, observational study enrolled 10 patients undergoing ventriculoperitoneal (VP), lumboperitoneal (LP), ventriculoatrial (VA), or cyst shunt implantation with iCBCT-based quality control and compared them with a matched retrospective cohort of 10 patients managed by conventional postoperative CT. The primary endpoint was radiation exposure. Secondary endpoints were operative duration and the number of immediate revisions for catheter malposition. Results: The volumetric dose index was lower in the iCBCT group than in the control group (CBDIw median 9.27 mGy [IQR, 6.5-11.5] vs CTDIvol 31.15 mGy [IQR, 23.5-34.2]; p = 0.002). Intraoperative imaging detected catheter malposition in one VP shunt and enabled immediate revision within the same surgical session. Routine postoperative CT was omitted in all iCBCT patients, without catheter-related complications through the routine 2-3-week postoperative follow-up. OR time was longer in the iCBCT group due to image acquisition without statistical significance (median 142 min [IQR, 114-157] vs 127 min [IQR, 104-140]; p = 0.2948). Surgical time was comparable between groups (median 65.5 min [IQR, 54-80] vs 60 min [IQR, 50-76]; p = 0.590). Discussion and conclusion: In this interim cohort, iCBCT lowered the radiation dose index and replaced postoperative CT, enabling real-time catheter verification across CSF shunts.

Indexed as

Cerebrospinal fluid shuntCone-beam computed tomographyIntraoperative imagingQuality controlRadiation exposure

Identifiers

PMID42662521
PMCPMC13521095

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.