Evidence map›Paper›PMID 29305735›Full record

ArticleAnnals of biomedical engineering2018

AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture.

Rui Li, Sheng Xu, William F Pritchard, John W Karanian, Venkatesh P Krishnasamy, Bradford J Wood, Zion Tsz Ho Tse

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

7 authors at 2 institutions in 1 country.

Rui LiSchool of Electrical and Computer Engineering, The University of Georgia, Athens, GA, 30602, USA.ORCID http://orcid.org/0000-0003-1448-6489
Sheng XuCenter for Interventional Oncology, National Institute of Health, Bethesda, MD, USA.
William F PritchardCenter for Interventional Oncology, National Institute of Health, Bethesda, MD, USA.
John W KaranianCenter for Interventional Oncology, National Institute of Health, Bethesda, MD, USA.
Venkatesh P KrishnasamyCenter for Interventional Oncology, National Institute of Health, Bethesda, MD, USA.
Bradford J WoodCenter for Interventional Oncology, National Institute of Health, Bethesda, MD, USA.
Zion Tsz Ho TseSchool of Electrical and Computer Engineering, The University of Georgia, Athens, GA, 30602, USA. info.3ttechnologies@gmail.com.
National Institutes of Health Clinical Center · USUniversity of Georgia · US

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
Intramural NIH HHS ZIA CL040015Intramural NIH HHS ZID BC011242
6 · The paper itself

Abstract

As a low-cost needle navigation system, AngleNav may be used to improve the accuracy, speed, and ease of CT-guided needle punctures. The AngleNav hardware includes a wireless device with a microelectromechanical (MEMS) tracker that can be attached to any standard needle. The physician defines the target, desired needle path and skin entry point on a CT slice image. The accuracy of AngleNav was first tested in a 3D-printed calibration platform in a benchtop setting. An abdominal phantom study was then performed in a CT scanner to validate the accuracy of the device's angular measurement. Finally, an in vivo swine study was performed to guide the needle towards liver targets (n = 8). CT scans of the targets were used to quantify the angular errors and needle tip-to-targeting distance errors between the planned needle path and the final needle position. The MEMS tracker showed a mean angular error of 0.01° with a standard deviation (SD) of 0.62° in the benchtop setting. The abdominal phantom test showed a mean angular error of 0.87° with an SD of 1.19° and a mean tip-to-target distance error of 4.89 mm with an SD of 1.57 mm. The animal experiment resulted in a mean angular error of 6.6° with an SD of 1.9° and a mean tip-to-target distance error of 8.7 mm with an SD of 3.1 mm. These results demonstrated the feasibility of AngleNav for CT-guided interventional workflow. The angular and distance errors were reduced by 64.4 and 54.8% respectively if using AngleNav instead of freehand insertion, with a limited number of operators. AngleNav assisted the physicians to deliver accurate needle insertion during CT-guided intervention. The device could potentially reduce the learning curve for physicians to perform CT-guided needle targeting.

Indexed as

NeedlesTomography, X-Ray ComputedAnimalsHumansImage-Guided BiopsySwineAngular trackingCT-guided biopsy or ablationMEMS sensorTracker

Identifiers

PMID29305735
PMCPMC7641877
OpenAlexW2782463532

What OpenQuestion holds

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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.