Evidence map›Paper›PMID 28766018›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2017

S2-AI screw placement with the aide of electronic conductivity device monitoring: a retrospective analysis.

Faheem A Sandhu, Jason E McGowan, Daniel R Felbaum, Hasan R Syed, Kyle B Mueller

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing 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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Faheem A SandhuDepartment of Neurosurgery, MedStar Georgetown University Hospital, 7 PHC, 3800 Reservoir Rd. NW, Washington, DC, 20057, USA. fasandhu@aol.com.
Jason E McGowanDepartment of Neurosurgery, MedStar Georgetown University Hospital, 7 PHC, 3800 Reservoir Rd. NW, Washington, DC, 20057, USA.
Daniel R FelbaumDepartment of Neurosurgery, MedStar Georgetown University Hospital, 7 PHC, 3800 Reservoir Rd. NW, Washington, DC, 20057, USA.
Hasan R SyedDepartment of Neurosurgery, MedStar Georgetown University Hospital, 7 PHC, 3800 Reservoir Rd. NW, Washington, DC, 20057, USA.
Kyle B MuellerDepartment of Neurosurgery, MedStar Georgetown University Hospital, 7 PHC, 3800 Reservoir Rd. NW, Washington, DC, 20057, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designA retrospective analysis of two consecutive patients who underwent a novel surgical technique.

objectiveA report of a novel surgical technique utilizing an electronic conductivity device guidance to aide placement of S2-Alar-Iliac (S2-AI) instrumentation. Electronic conductivity guidance for instrumentation of the thoracolumbar spine is an accepted means of improving intraoperative accuracy. Although commercially available for percutaneous techniques, there is a paucity of literature regarding its use. Percutaneous implantation of S2-AI screws has been previously described as another technique surgeons can avail, primarily employing fluoroscopy as a means of intraoperative feedback. We describe a novel technique that utilizes electronic conductivity as an added feedback measure to increase accuracy of percutaneous S2-AI fixation.

methodsTwo patients were treated by the senior author (FAS) who underwent surgery employing S2-AI fixation utilizing an electronic conductivity device (Pediguard cannulated probe, Spineguard, Paris, France). The surgical technique, case illustrations, and radiographic outcomes are discussed.

resultsStable and accurate fixation was attained in both patients. There were no peri-operative complications related to hardware placement.

conclusionTo the authors' knowledge, this is the first reported literature combining S2-AI screws with electronic conductivity for immediate intraoperative feedback. This technique has the opportunity to provide surgeons with increased accuracy for placement of S2-AI screws while improving overall radiation safety. This feedback can be particularly helpful when surgeons are learning new techniques such as placement of S2AI screws.

Indexed as

Electric ConductivityPedicle ScrewsHumansIliumMonitoring, IntraoperativeRetrospective StudiesSacrumSpinal FusionLumbosacral fusionMISPelvic fixationS2-AI

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Registered trials

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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.