Evidence map›Paper›PMID 36203278›Full record

ArticleNeurospine2022

Safety and Feasibility of Augmented Reality Assistance in Minimally Invasive and Open Resection of Benign Intradural Extramedullary Tumors.

Fabian Sommer, Ibrahim Hussain, Sertac Kirnaz, Jacob Goldberg, Lynn McGrath, Rodrigo Navarro-Ramirez, Francois Waterkeyn, Franziska Schmidt, Pravesh Shankar Gadjradj, Roger Härtl

Abstract read
In one paragraph

Article in Neurospine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  7. Observational
  8. Review
  9. Article
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  11. Article
  12. Augmented Reality in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
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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

10 authors.

Fabian SommerDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Ibrahim HussainDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Sertac KirnazDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Jacob GoldbergDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Lynn McGrathDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Rodrigo Navarro-RamirezDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Francois WaterkeynDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Franziska SchmidtDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Pravesh Shankar GadjradjDepartment of Neurosurgery, Weill Cornell Medicine, New York Presbyterian Hospital/Och Spine, New York, NY, USA.
Roger HärtlDepartment of Neurosurgery, 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

objectiveSurgical resection of benign intradural extramedullary tumors (BIETs) is effective for appropriately selected patients. Minimally invasive surgical (MIS) techniques have been described for successful resection of BIET while minimizing soft tissue injury. Augmented reality (AR) is a promising new technology that can accurately allow for intraoperative localization from skin through the intradural compartment. We present a case series evaluating the timing, steps, and accuracy at which this technology is able to enhance BIET resection.

methodsA protocol for MIS and open AR-guided BIET resection was developed and applied to determine the feasibility. The tumor is marked on diagnostic magnetic resonance imaging (MRI) using AR software. Intraoperatively, the planning MRI is fused with the intraoperative computed tomography. The position and size of the tumor is projected into the surgical microscope and directly into the surgeon's field of view. Intraoperative orientation is performed exclusively via navigation and AR projection. Demographic and perioperative factors were collected.

resultsEight patients were enrolled. The average operative time for MIS cases was 128 ± 8 minutes and for open cases 206 ± 55 minutes. The estimated intraoperative blood loss was 97 ± 77 mL in MIS and 240 ± 206 mL in open procedures. AR tumor location and margins were considered sufficiently precise by the surgeon in every case. Neither correction of the approach trajectory nor ultrasound assistance to localize the tumor were necessary in any case. No intraoperative complications were observed.

conclusionCurrent findings suggest that AR may be a feasible technique for tumor localization in the MIS and open resection of benign spinal extramedullary tumors.

Indexed as

Augmented RealityBenign extramedullary intradural tumorbenign intradural extramedullary tumorMinimally invasive surgery

Identifiers

PMID36203278
PMCPMC9537853

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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.