Evidence map›Paper›PMID 37046809›Full record

ArticleCancers2023

Efficacy of a Novel Augmented Reality Navigation System Using 3D Computer Graphic Modeling in Endoscopic Transsphenoidal Surgery for Sellar and Parasellar Tumors.

Yoshiaki Goto, Ai Kawaguchi, Yuki Inoue, Yuki Nakamura, Yuta Oyama, Arisa Tomioka, Fumi Higuchi, Takeshi Uno, Masaaki Shojima, Taichi Kin and 1 more

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Augmented reality for endoscopic transsphenoidal surgery: evaluating design factors with neurosurgeons.International journal of computer assisted radiology and surgery · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. Article
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

11 authors.

Yoshiaki GotoDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Ai KawaguchiDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Yuki InoueDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Yuki NakamuraDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Yuta OyamaDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Arisa TomiokaDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Fumi HiguchiDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.
Takeshi UnoDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.ORCID 0000-0002-6899-0878
Masaaki ShojimaDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.ORCID 0000-0002-4388-151X
Taichi KinDepartment of Neurosurgery, University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 133-8655, Japan.
Masahiro ShinDepartment of Neurosurgery, University of Teikyo Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo 179-8606, Japan.ORCID 0000-0001-8025-127X

Funding

Japan Society for the Promotion of Science JP22H03189
6 · The paper itself

Abstract

In endoscopic transsphenoidal skull base surgery, knowledge of tumor location on imaging and the anatomic structures is required simultaneously. However, it is often difficult to accurately reconstruct the endoscopic vision of the surgical field from the pre-surgical radiographic images because the lesion remarkably displaces the geography of normal anatomic structures. We created a precise three-dimensional computer graphic model from preoperative radiographic data that was then superimposed on a visual image of the actual surgical field and displayed on a video monitor during endoscopic transsphenoidal surgery. We evaluated the efficacy of this augmented reality (AR) navigation system in 15 consecutive patients with sellar and parasellar tumors. The average score overall was 4.7 [95% confidence interval: 4.58-4.82], which indicates that the AR navigation system was as useful as or more useful than conventional navigation in certain patients. In two patients, AR navigation was assessed as less useful than conventional navigation because perception of the depth of the lesion was more difficult. The developed system was more useful than conventional navigation for facilitating an immediate three-dimensional understanding of the lesion and surrounding structures.

Indexed as

augmented realityendonasal transsphenoidal surgerynavigation systemneuroendoscopyparasellar tumors

Identifiers

PMID37046809
PMCPMC10093001

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.