Evidence map›Paper›PMID 38592365›Full record

ArticleJournal of clinical medicine2024

Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report.

Anas Bardeesi, Troy Q Tabarestani, Stephen M Bergin, Chuan-Ching Huang, Christopher I Shaffrey, Walter F Wiggins, Muhammad M Abd-El-Barr

Abstract readCase Reports
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed.

  1. Article
  2. A Mixed-Reality Navigation Simulator for Training Infiltration Procedures of the Spine: Evaluation in Kambin Triangle Location.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
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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.

Anas BardeesiDepartment of Neurosurgery, Duke University Hospital, Durham, NC 27710, USA.ORCID 0000-0003-3154-8688
Troy Q TabarestaniDuke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-1485-3605
Stephen M BerginDepartment of Neurosurgery, Duke University Hospital, Durham, NC 27710, USA.ORCID 0000-0001-9692-5814
Chuan-Ching HuangDepartment of Neurosurgery, Duke University Hospital, Durham, NC 27710, USA.
Christopher I ShaffreyDepartment of Neurosurgery, Duke University Hospital, Durham, NC 27710, USA.
Walter F WigginsDepartment of Radiology, Duke University Hospital, Durham, NC 27710, USA.
Muhammad M Abd-El-BarrDepartment of Neurosurgery, Duke University Hospital, Durham, NC 27710, USA.ORCID 0000-0001-7151-2861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transfacet minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is a novel approach available for the management of lumbar spondylolisthesis. It avoids the need to manipulate either of the exiting or traversing nerve roots, both protected by the bony boundaries of the approach. With the advancement in operative technologies such as navigation, mapping, segmentation, and augmented reality (AR), surgeons are prompted to utilize these technologies to enhance their surgical outcomes. A 36-year-old male patient was complaining of chronic progressive lower back pain. He was found to have grade 2 L4/5 spondylolisthesis. We studied the feasibility of a trans-Kambin or a transfacet MIS-TLIF, and decided to proceed with the latter given the wider corridor it provides. Preoperative trajectory planning and level segmentation in addition to intraoperative navigation and image merging were all utilized to provide an AR model to guide us through the surgery. The use of AR can build on the safety and learning of novel surgical approaches to spine pathologies. However, larger high-quality studies are needed to further objectively analyze its impact on surgical outcomes and to expand on its application.

Indexed as

augmented realitysegmentation technologytransfacet MIS TLIF

Identifiers

PMID38592365
PMCPMC10934424

What OpenQuestion holds

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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.