Evidence map›Paper›PMID 37355257›Full record

ArticleJournal of neurointerventional surgery2024

High variability in physician estimations of flow-diverting stent deployment versus PreSize Neurovascular software simulation: a comparison study.

Ansaar T Rai, SoHyun Boo, Jonathan Downer, Johannes DuPlessis, Riitta Rautio, Matias Sinisalo, Johanna Pekkola, Vinicius Carraro do Nascimento, Curtis Given, Tufail Patankar

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Journal of neurointerventional surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 7 institutions in 4 countries.

Ansaar T RaiInterventional Neuroradiology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, West Virginia, USA ansaar.rai@gmail.com.ORCID http://orcid.org/0000-0001-9864-4805
SoHyun BooInterventional Neuroradiology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, West Virginia, USA.ORCID http://orcid.org/0000-0003-4912-6467
Jonathan DownerDepartment of Clinical Neurosciences, University of Edinburgh Division of Clinical and Surgical Sciences, Edinburgh, UK.ORCID http://orcid.org/0000-0002-8272-092X
Johannes DuPlessisDepartment of Clinical Neurosciences, NHS Lothian, Edinburgh, UK.
Riitta RautioDepartment of Radiology, Turku University Hospital (TYKS), Turku, Finland.ORCID http://orcid.org/0000-0001-8385-0622
Matias SinisaloDepartment of Radiology, Turku University Hospital (TYKS), Turku, Finland.
Johanna PekkolaRadiology, HUS Medical Imaging Center, Helsinki, Finland.
Vinicius Carraro do NascimentoInterventional Neuroradiology, Gold Coast University Hospital, Southport, Queensland, Australia.ORCID http://orcid.org/0000-0003-4166-3698
Curtis GivenNeurointerventional, Baptist Health Lexington, Lexington, Kentucky, USA.
Tufail PatankarInterventional Neuroradiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Turku University Hospital · FIWest Virginia University · USCentral Baptist Hospital · USGold Coast Hospital · AULeeds Teaching Hospitals NHS Trust · GBNHS Lothian · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician variablity in preoperative planning of endovascular implant deployment and associated inaccuracies have not been documented. This study aimed to quantify the variability in accuracy of physician flow diverter (FD) planning and directly compares it with PreSize Neurovascular (Oxford Heartbeat Ltd) software simulations.

methodsEight experienced neurointerventionalists (NIs), blinded to procedural details, were provided with preoperative 3D rotational angiography (3D-RA) volumetric data along with images annotated with the distal landing location of a deployed Surpass Evolve (Stryker Neurovascular) FD from 51 patient cases. NIs were asked to perform a planning routine reflecting their normal practice and estimate the stent's proximal landing using volumetric data and the labeled dimensions of the FD used. Equivalent deployed length estimation was performed using PreSize software. NI- and software-estimated lengths were compared with postprocedural observed deployed stent length (control) using Bland-Altman plots. NI assessment agreement was assessed with the intraclass correlation coefficient (ICC).

resultsThe mean accuracy of NI-estimated deployed FD length was 81% (±15%) versus PreSize's accuracy of 95% (±4%), demonstrating significantly higher accuracy for the software (p<0.001). The mean absolute error between estimated and control lengths was 4 mm (±3.5 mm, range 0.03-30.2 mm) for NIs and 1 mm (±0.9 mm, range 0.01-3.9 mm) for PreSize. No discernable trends in accuracy among NIs or across vasculature and aneurysm morphology (size, vessel diameter, tortuousity) were found.

conclusionsThe study quantified experienced physicians' significant variablity in predicting an FD deployment with current planning approaches. In comparison, PreSize-simulated FD deployment was consistently more accurate and reliable, demonstrating its potential to improve standard of practice.

Indexed as

Endovascular ProceduresSoftwareStentsCerebral AngiographyComputer SimulationHumansImaging, Three-DimensionalIntracranial AneurysmAneurysmFlow Diverter

Identifiers

PMID37355257
PMCPMC11187387
OpenAlexW4381884642

What OpenQuestion holds

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LicenceCC BY-NC
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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.