Evidence map›Paper›PMID 35934773›Full record

ArticleInternational journal of computer assisted radiology and surgery2022

Value-assessment of computer-assisted navigation strategies during percutaneous needle placement.

Imke Boekestijn, Samaneh Azargoshasb, Matthias N van Oosterom, Leon J Slof, Petra Dibbets-Schneider, Jenny Dankelman, Arian R van Erkel, Daphne D D Rietbergen, Fijs W B van Leeuwen

Open access · hybridAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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 at 2 institutions in 1 country.

Imke Boekestijn *Interventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Samaneh Azargoshasb *Interventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Matthias N van OosteromInterventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Leon J SlofInterventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Petra Dibbets-SchneiderSection of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Jenny DankelmanDepartment of Biomedical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands.
Arian R van ErkelInterventional Radiology Section, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Daphne D D RietbergenInterventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Fijs W B van LeeuwenInterventional Molecular Imaging-Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. F.W.B.van_Leeuwen@lumc.nl.ORCID http://orcid.org/0000-0002-6844-4025
Leiden University Medical Center · NLDelft University of Technology · NL

Funding

NWO-TTW-VICI TTW 16141
6 · The paper itself

Abstract

purposeNavigational strategies create a scenario whereby percutaneous needle-based interventions of the liver can be guided using both pre-interventional 3D imaging datasets and dynamic interventional ultrasound (US). To score how such technologies impact the needle placement process, we performed kinematic analysis on different user groups.

methodsUsing a custom biopsy phantom, three consecutive exercises were performed by both novices and experts (n = 26). The exercise came in three options: (1) US-guidance, (2) US-guidance with pre-interventional image-registration (US + Reg) and (3) US-guidance with pre-interventional image-registration and needle-navigation (US + Reg + Nav). The traveled paths of the needle were digitized in 3D. Using custom software algorithms, kinematic metrics were extracted and related to dexterity, decision making indices to obtain overall performance scores (PS).

resultsKinematic analysis helped quantifying the visual assessment of the needle trajectories. Compared to US-guidance, novices yielded most improvements using Reg (PS

conclusionDigitizing the movement trajectory allowed us to objectively assess the impact of needle-navigation strategies on percutaneous procedures. In particular, our findings suggest that these advanced technologies have a positive impact on the kinematics derived performance of novices.

Indexed as

NeedlesSurgery, Computer-AssistedComputersHumansPhantoms, ImagingUltrasonographyUltrasonography, InterventionalComputer-assisted surgeryImage fusionNavigationNeedle guidancePerformance assessment

Identifiers

PMID35934773
PMCPMC9468110
OpenAlexW4290422757

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.