Evidence map›Paper›PMID 31915907›Full record

ArticleCardiovascular and interventional radiology2020

Smartphone Augmented Reality CT-Based Platform for Needle Insertion Guidance: A Phantom Study.

Rachel Hecht, Ming Li, Quirina M B de Ruiter, William F Pritchard, Xiaobai Li, Venkatesh Krishnasamy, Wael Saad, John W Karanian, Bradford J Wood

Abstract read
In one paragraph

Article in Cardiovascular and interventional radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
  2. Article
  3. Efficient needle guidance: multi-camera augmented reality navigation without patient-specific calibration.International journal of computer assisted radiology and surgery · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Phantom study of augmented reality framework to assist epicardial punctures.Journal of medical imaging (Bellingham, Wash.) · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Bone biopsies guided by augmented reality: a pilot study.European radiology experimental · 2023
    Article
  16. [CT-guided local ablative interventions].Radiologie (Heidelberg, Germany) · 2023
    Review
  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

9 authors.

Rachel HechtCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Ming LiCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA. ming.li@nih.gov.ORCID http://orcid.org/0000-0002-1446-4493
Quirina M B de RuiterCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
William F PritchardCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Xiaobai LiBiostatistics and Clinical Epidemiology Service, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Venkatesh KrishnasamyCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Wael SaadCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
John W KaranianCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
Bradford J WoodCenter for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.

Funding

Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Navigation Tools for Image Guided Minimally invasive TherapiesZIACL040011 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Foundation for the National Institutes of Health NIH Z01 1ZID BC011242 and CL040015Intramural NIH HHS ZIA CL040015Intramural NIH HHS ZID BC011242
6 · The paper itself

Abstract

objectiveTo develop and assess the accuracy of an augmented reality (AR) needle guidance smartphone application.

methodsA needle guidance AR smartphone application was developed using Unity and Vuforia SDK platforms, enabling real-time displays of planned and actual needle trajectories. To assess the application's accuracy in a phantom, eleven operators (including interventional radiologists, non-interventional radiology physicians, and non-physicians) performed single-pass needle insertions using AR guidance (n = 8) and CT-guided freehand (n = 8). Placement errors were measured on post-placement CT scans. Two interventional radiologists then used AR guidance (n = 3) and CT-guided freehand (n = 3) to navigate needles to within 5 mm of targets with intermediate CT scans permitted to mimic clinical use. The total time and number of intermediate CT scans required for successful navigation were recorded.

resultsIn the first experiment, the average operator insertion error for AR-guided needles was 78% less than that for CT-guided freehand (2.69 ± 2.61 mm vs. 12.51 ± 8.39 mm, respectively, p < 0.001). In the task-based experiment, interventional radiologists achieved successful needle insertions on each first attempt when using AR guidance, thereby eliminating the need for intraoperative CT scans. This contrasted with 2 ± 0.9 intermediate CT scans when using CT-guided freehand. Additionally, average procedural times were reduced from 13.1 ± 6.6 min with CT-guided freehand to 4.5 ± 1.3 min with AR guidance, reflecting a 66% reduction.

conclusionsAll operators exhibited superior needle insertion accuracy when using the smartphone-based AR guidance application compared to CT-guided freehand. This AR platform can potentially facilitate percutaneous biopsies and ablations by improving needle insertion accuracy, expediting procedural times, and reducing radiation exposures.

Indexed as

Augmented RealityMobile ApplicationsHumansNeedlesPhantoms, ImagingRadiography, InterventionalReproducibility of ResultsSmartphoneTomography, X-Ray ComputedAblationAugmented realityBiopsyInterventional radiologyNeedle guidancePhantomPhysician training

Identifiers

PMID31915907
PMCPMC8979406

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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.