Evidence map›Paper›PMID 36203284›Full record

ArticleNeurospine2022

Augmented Reality to Improve Surgical Workflow in Minimally Invasive Transforaminal Lumbar Interbody Fusion - A Feasibility Study With Case Series.

Fabian Sommer, Ibrahim Hussain, Sertac Kirnaz, Jacob L Goldberg, Rodrigo Navarro-Ramirez, Lynn B McGrath, Franziska A Schmidt, Branden Medary, Pravesh Shankar Gadjradj, Roger Härtl

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Article in Neurospine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Augmented reality assisted minimally invasive transforaminal lumbar interbody fusion: feasible and effective workflow with intraoperative video.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 · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Fabian SommerDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Ibrahim HussainDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Sertac KirnazDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Jacob L GoldbergDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Rodrigo Navarro-RamirezDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Lynn B McGrathDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Franziska A SchmidtDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Branden MedaryDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Pravesh Shankar GadjradjDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Roger HärtlDepartment of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMinimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is a highly reproducible procedure for the fusion of spinal segments. We recently introduced the concept of "total navigation" to improve workflow and eliminate fluoroscopy. Imageguided surgery incorporating augmented reality (AR) may further facilitate workflow. In this study, we developed and evaluated a protocol to integrate AR into the workflow of MISTLIF.

methodsA case series of 10 patients was the basis for the evaluation of a protocol to facilitate tubular MIS-TLIF by the application of AR. Surgical TLIF landmarks were marked on a preoperative computed tomography (CT)-scan using dedicated software. This marked CT scan was fused intraoperatively with the low-dose navigation CT scan using elastic image fusion, and the markers were transferred to the intraoperative scan. Our experience with this workflow and the surgical outcomes were collected.

resultsOur AR protocol was safely implemented in all cases. The TLIF landmarks could be preoperatively planned and transferred to the intraoperative imaging. Of the 10 cases, 1 case had additionally a synovial cyst resection and in 2 cases an additional bony decompression was performed due to central stenosis. The average procedure time was 160.6 ± 31.9 minutes. The AR implementation added 1.72 ± 0.37 minutes to the overall procedure time. No complications occurred.

conclusionOur findings support the idea that total navigation with AR may further facilitate the workflow, especially in cases with more complex anatomy and for teaching and training purposes. More work is needed to simplify the software and make AR integration more user-friendly.

Indexed as

Augmented realityNavigationTransforaminal lumber interbody fusionWorkflow

Identifiers

PMID36203284
PMCPMC9537847

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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.