Evidence map›Paper›PMID 25694961›Full record

ArticleQuantitative imaging in medicine and surgery2015

Real-time epidural anesthesia guidance using optical coherence tomography needle probe.

Qinggong Tang, Chia-Pin Liang, Kyle Wu, Anthony Sandler, Yu Chen

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent Advances in Smart Epidural Spinal Needles.Sensors (Basel, Switzerland) · 2023
    Review
  4. Article
  5. Article
  6. Epidural Needle Guidance Using Viscoelastic Tissue Response.IEEE journal of translational engineering in health and medicine · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Qinggong Tang1 Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA ; 2 Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington D.C. 20010, USA.
Chia-Pin Liang1 Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA ; 2 Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington D.C. 20010, USA.
Kyle Wu1 Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA ; 2 Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington D.C. 20010, USA.
Anthony Sandler1 Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA ; 2 Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington D.C. 20010, USA.
Yu Chen1 Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA ; 2 Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, Washington D.C. 20010, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidural anesthesia is one of the most widely used anesthesia methods. Due to lack of visual feedback to guide needle navigation, failure rate of epidural anesthesia is up to 20%, and the complication rate of peripheral nerve block approaches 10%, with the potential of permanent nerve damage. To address these difficulties, needle insertion under ultrasound guidance and fluoroscopy has been introduced. However, they do not provide adequate resolution and contrast to distinguish the tissue layers that the needle travels through or to specifically identify the epidural space. To improve the accuracy of epidural space identification, we developed a small hand-held optical coherence tomography (OCT) forward-imaging needle device for real-time epidural anesthesia surgery guidance and demonstrated its feasibility through ex vivo and in vivo animal experiments. With tissue structures visualized and differentiated at the needle tip, OCT needle imaging device will enhance clinical outcomes with regards to complication rates, induced pain, and procedure failure when compared to standard practice. Furthermore, this technology could be used in combination with ultrasound/fluoroscopy to enhance outcomes.

Indexed as

epidural procedureimage-guided interventionOptical coherence tomography (OCT)

Identifiers

PMID25694961
PMCPMC4312299

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.