Evidence map›Paper›PMID 30464846›Full record

ArticleHealthcare technology letters2018

Augmented reality guidance in cerebrovascular surgery using microscopic video enhancement.

Reid Vassallo, Hidetoshi Kasuya, Benjamin W Y Lo, Terry Peters, Yiming Xiao

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Augmented Reality in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
  9. Article
  10. Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2022
    Article
  11. Article
  12. Review
  13. 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

5 authors at 4 institutions in 2 countries.

Reid VassalloSchool of Biomedical Engineering, Western University, London, Canada.
Hidetoshi KasuyaDepartment of Neurosurgery, Tokyo Women's Medical University Medical Centre East, Tokyo, Japan.
Benjamin W Y LoMontreal Neurological Hospital, Montreal, Canada.
Terry PetersSchool of Biomedical Engineering, Western University, London, Canada.
Yiming XiaoRobarts Research Institute, Western University, London, Canada.
Western University · CAMontreal Neurological Institute and Hospital · CARobarts Clinical Trials · CATokyo Women's Medical University Adachi Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrovascular surgery treats vessel abnormalities in the brain and spinal cord, including arteriovenous malformations (AVMs) and aneurysms. These procedures often involve clipping the vessels feeding blood to these abnormalities, making accurate classification of blood vessel types (feeding versus draining) important during surgery. Previous work to guide the intraoperative identification of the vessels included augmented reality (AR) using pre-operative images, injected dyes, and Doppler ultrasound, but each with their drawbacks. The authors propose and demonstrate a novel technique to help differentiate vessels by enhancing short videos of a few seconds from the surgical microscope using motion magnification and spectral analysis, and constructing AR views that fuse the analysis results as intuitive colourmaps and the surgical microscopic view. They demonstrated the proposed technique retrospectively with two real cerebrovascular surgical cases: one AVM and one aneurysm. The results showed that the proposed technique can help characterise different vessel types (feeding and draining the abnormality), which agree with those identified by the operating surgeon.

Indexed as

accurate classificationaneurysmarteriovenous malformationsaugmented realityaugmented reality guidanceAVMbiomedical ultrasonicsbloodblood vesselsblood vessel typesbraincerebrovascular surgeryDoppler ultrasoundimage enhancementimage motion analysisinjected dyesintraoperative identificationmedical image processingmicroscopic video enhancementmotion magnificationneurophysiologypreoperative imagesspectral analysisspinal cordsurgerysurgical microscopic viewvessel abnormalitiesvideo signal processing

Identifiers

PMID30464846
PMCPMC6222178
OpenAlexW2888731445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.