Evidence map›Paper›PMID 40755841›Full record

ArticleBrain & spine2025

The effect of 3D virtual surgical planning in sacroiliac joint fusion.

Nick Kampkuiper, Asal Abkar, Jorm Nellensteijn, Marjolein Brusse-Keizer, Gabriëlle Tuijthof, Maaike Koenrades, Femke Schröder

Abstract read
In one paragraph

Article in Brain & spine, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nick KampkuiperDepartment of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Asal AbkarDepartment of Orthopedic Surgery, Medisch Spectrum Twente, Enschede, the Netherlands.
Jorm NellensteijnDepartment of Orthopedic Surgery, Medisch Spectrum Twente, Enschede, the Netherlands.
Marjolein Brusse-KeizerMedical School Twente, Medisch Spectrum Twente, Enschede, the Netherlands.
Gabriëlle TuijthofDepartment of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Maaike KoenradesMedical 3D lab, Medisch Spectrum Twente, Enschede, the Netherlands.
Femke SchröderDepartment of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sacroiliac (SI) dysfunction causes of up to 30 % of lower back pain. When conservative treatment is insufficient, SI joint fusion (SIJF) can be indicated to reduce pain. Due to high anatomical variability, poor visibility during intraoperative 2D fluoroscopic imaging, and the absence of 3D spatial information, placing the implant in a stable configuration without damaging critical structures is challenging. To improve patient outcomes, a virtual surgical planning (VSP) method using simulated fluoroscopic images has been developed. Research question: What is the effect of VSP on patient outcomes, including complications, pain scores, satisfaction scores, and Oswestry Disability Index (ODI) scores? Methods: This retrospective case-control study compared procedures performed with VSP to those conducted prior to its implementation. Data were collected from the medical records, Numeric Rating Scale (NRS) questions, and patient reported outcome measures (PROMs). All postoperative CT scans were assessed on implant placement (mal)positioning and fractures. Malposition complications were categorized as severe malposition and suboptimal implant placement. Results: Seventy-eight procedures were included, 43 in the VSP group and 35 in the conventional group. Severe malposition complications reduced from 9 % to 0 % after VSP was implemented. Suboptimal implant placement reduced from 46 % to 9 % of the interventions. Sacral fractures reduced from 37 % to 14 %. All other primary outcome measures did not show a significant difference between the groups. Conclusions: VSP in SIJF reduced implant malpositioning and sacral fractures. This can lead to better patient outcomes. A larger multicenter study is needed to explore the broader impact of VSP on SIJF.

Indexed as

Implant placementPatient-specific modelingSacroiliac joint fusionSimulated fluoroscopySurgical outcomesVirtual surgical planning

Identifiers

PMID40755841
PMCPMC12318284

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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.