Evidence map›Paper›PMID 31296064›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2019

Angiographic assessment of the efficacy of flow diverter treatment for cerebral aneurysms.

Chander Sadasivan, Ronak Dholakia, Lissa Peeling, Philipp Gölitz, Arnd Doerfler, Baruch B Lieber, David J Fiorella, Henry H Woo

Abstract readMulticenter Study
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. The effect of the size of the new contour neurovascular device for altering intraaneurysmal flow.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  3. Article
  4. Article
  5. Retrospective analysis of intracranial aneurysms after flow diverter treatment including color-coded imaging (syngo iFlow) as a predictor of aneurysm occlusion.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2022
    Article
  6. 2D parametric contrast time-density analysis for the prediction of complete aneurysm occlusion at six months' post-flow diversion stent.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2020
    Article
  7. 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

8 authors.

Chander SadasivanDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.ORCID https://orcid.org/0000-0002-6305-9785
Ronak DholakiaDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.
Lissa PeelingDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.
Philipp GölitzDepartment of Neuroradiology, University of Erlangen-Nuremberg, Erlangen, Germany.
Arnd DoerflerDepartment of Neuroradiology, University of Erlangen-Nuremberg, Erlangen, Germany.
Baruch B LieberDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.
David J FiorellaDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.
Henry H WooDepartment of Neurosurgery, Stony Brook University Medical Center, Stony Brook, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent growth of neuro-endovascular treatment has rekindled interest in the use of angiographic techniques for flow assessment. Aneurysm treatment with flow diverters is particularly amenable to such analysis. We analyze contrast time-density curves - recorded within aneurysms before (pre) and immediately after (post) flow diverter implantation to estimate six-month treatment outcomes.

methodsFifty-six patients with 65 aneurysms were treated with flow diverters at two institutions. A region of interest was drawn around the aneurysm perimeter in image sequences taken both pre and post angiography, and the temporal variation in grayscale intensity within the aneurysm (time-density curve) was recorded. Eleven parameters were quantified from each time-density curve. Aneurysm occlusion status was recorded six months post treatment. The change in parameters from pre to post treatment was statistically evaluated between aneurysm occluded and non-occluded groups.

resultsOf the 11 parameters, eight were significantly different before and immediately after flow diversion. Considering the entire data set, none of the parameters was statistically different between the occluded and non-occluded groups. However, subgroup analyses showed that four variables were significantly different between the aneurysm occluded and non-occluded groups. The sensitivity of these variables to predict aneurysm occlusion at six months ranged from 60% to 89%, while the specificity ranged from 55% to 70%.

conclusionsDevice-induced intra-aneurysmal flow alterations quantified by simple aneurysmal time-density curves can potentially be used to predict long-term outcomes of flow diversion. Large multi-center studies will be required to confirm these findings. Patient-to-patient variability in coagulation may need to be incorporated for clinically relevant predictive values.

Indexed as

Blood Vessel ProsthesisCerebral AngiographyStentsFemaleHumansIntracranial AneurysmMaleNeurosurgical ProceduresVascular Surgical ProceduresConcentration–time curvecontrast washouttime–density curve

Identifiers

PMID31296064
PMCPMC6838848

What OpenQuestion holds

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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.