Evidence map›Paper›PMID 34568987›Full record

Article3D printing in medicine2021

Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy.

Kelsey N Sommer, Mohammad Mahdi Shiraz Bhurwani, Vincent Tutino, Adnan Siddiqui, Jason Davies, Kenneth Snyder, Elad Levy, Maxim Mokin, Ciprian N Ionita

Open access · goldAbstract read
In one paragraph

Article in 3D printing in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  8. Advanced 3D Visualization and 3D Printing in Radiology.Advances in experimental medicine and biology · 2023
    Article
  9. 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

9 authors at 2 institutions in 1 country.

Kelsey N SommerDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY, 14228, USA. kelseyso@buffalo.edu.ORCID http://orcid.org/0000-0002-8431-0174
Mohammad Mahdi Shiraz BhurwaniDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY, 14228, USA.
Vincent TutinoCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, 14208, USA.
Adnan SiddiquiCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, 14208, USA.
Jason DaviesCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, 14208, USA.
Kenneth SnyderCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, 14208, USA.
Elad LevyCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, 14208, USA.
Maxim MokinDepartment of Neurosurgery and Brain Repair, University of South Florida, Tampa, FL, 33620, USA.
Ciprian N IonitaDepartment of Biomedical Engineering, University at Buffalo, Buffalo, NY, 14228, USA.
University at Buffalo, State University of New York · USUniversity of South Florida · US

Funding

Optimizing Approaches to Endovascular Therapy of Acute Ischemic StrokeR21NS109575 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI MOKIN, MAXIM · 2019 to 2019
$420k
NIH HHS R21 NS109575-01NINDS NIH HHS R21 NS109575
6 · The paper itself

Abstract

backgroundThe ability of the patient specific 3D printed neurovascular phantoms to accurately replicate the anatomy and hemodynamics of the chronic neurovascular diseases has been demonstrated by many studies. Acute occurrences, however, may still require further development and investigation and therefore we studied acute ischemic stroke (AIS). The efficacy of endovascular procedures such as mechanical thrombectomy (MT) for the treatment of large vessel occlusion (LVO), can be improved by testing the performance of thrombectomy devices and techniques using patient specific 3D printed neurovascular models.

methods3D printed phantoms were connected to a flow loop with physiologically relevant flow conditions, including input flow rate and fluid temperature. A simulated blood clot was introduced into the model and placed in the proximal Middle Cerebral Artery (MCA) region. Clot location, composition, length, and arterial angulation were varied and MTs were simulated using stent retrievers. Device placement relative to the clot and the outcome of the thrombectomy were recorded for each situation. Digital subtraction angiograms (DSA) were captured before and after LVO simulation. Recanalization outcome was evaluated using DSA as either 'no recanalization' or 'recanalization'. Forty-two 3DP neurovascular phantom benchtop experiments were performed.

resultsClot angulation within the MCA region had the most significant impact on the MT outcome, with a p-value of 0.016. Other factors such as clot location, clot composition, and clot length correlated weakly with the MT outcome.

conclusionsThis project allowed us to gain knowledge of how such characteristics influence thrombectomy success and can be used in making clinical decisions when planning the procedure and selecting specific thrombectomy tools and approaches.

Indexed as

3D printingLarge vessel occlusionMechanical thrombectomyThrombolysis in cerebral infarction

Identifiers

PMID34568987
PMCPMC8474770
OpenAlexW3181416804

What OpenQuestion holds

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LicenceCC BY
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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.