Evidence map›Paper›PMID 39481884›Full record

ArticleJournal of neurointerventional surgery2025

Off-label in-silico flow diverter performance assessment in posterior communicating artery aneurysms.

Michael MacRaild, Ali Sarrami-Foroushani, Shuang Song, Qiongyao Liu, Christopher Kelly, Nishant Ravikumar, Tufail Patankar, Toni Lassila, Zeike A Taylor, Alejandro F Frangi

Abstract read
In one paragraph

Article in Journal of neurointerventional surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Michael MacRaildCentre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK.ORCID http://orcid.org/0009-0001-3307-743X
Ali Sarrami-ForoushaniCentre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK.
Shuang SongSchool of Computing, University of Leeds, Leeds, UK.
Qiongyao LiuSchool of Computing, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0001-8534-8791
Christopher KellySchool of Computing, University of Leeds, Leeds, UK.
Nishant RavikumarSchool of Computing, University of Leeds, Leeds, UK.
Tufail PatankarInterventional Neuroradiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Toni LassilaSchool of Computing, University of Leeds, Leeds, UK.
Zeike A TaylorSchool of Mechanical Engineering, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-0718-1663
Alejandro F FrangiCentre for Computational Imaging and Modelling in Medicine (CIMIM), University of Manchester, Manchester, UK alejandro.frangi@manchester.ac.uk.ORCID http://orcid.org/0000-0002-2675-528X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe posterior communicating artery (PComA) is among the most common intracranial aneurysm locations, but flow diverter (FD) treatment with the widely used pipeline embolization device (PED) remains an off-label treatment that is not well understood. PComA aneurysm flow diversion is complicated by the presence of fetal posterior circulation (FPC), which has an estimated prevalence of 4-29% and is more common in people of black (11.5%) than white (4.9%) race. We present the FD-PComA in-silico trial (IST) into FD treatment performance in PComA aneurysms. ISTs use computational modeling and simulation in cohorts of virtual patients to evaluate medical device performance.

methodsWe modeled FD treatment in 118 virtual patients with 59 distinct PComA aneurysm anatomies, using computational fluid dynamics to assess post-treatment outcome. Boundary conditions were prescribed to model the effects of non-fetal and FPC, allowing for comparison between these subgroups.

resultsFD-PComA predicted reduced treatment success in FPC patients, with an average aneurysm space and time-averaged velocity reduction of 67.8% for non-fetal patients and 46.5% for fetal patients (P

conclusionsFD-PComA had significantly lower treatment success rates in PComA aneurysm patients with FPC. We suggest that FPC patients should be treated with an alternative to single PED flow diversion.

Indexed as

Computer SimulationEmbolization, TherapeuticIntracranial AneurysmOff-Label UseFemaleHumansMaleMiddle AgedTreatment OutcomeAneurysmBlood FlowFlow DiverterIntervention

Identifiers

PMID39481884
PMCPMC12573414

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.