Evidence map›Paper›PMID 40538604›Full record

ArticleOchsner journal2025

3D-Printed Patient-Specific Models of the Aortic Arch for Advanced Visualization of Complex Neurointerventional Cases.

Smruti Mahapatra, Vishal N Bhimarasetty, Abdul Rahim, Colin N Curtis, Paul Gulotta, Korak Sarkar

Abstract read
In one paragraph

Article in Ochsner journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Smruti MahapatraDepartment of Neurosurgery, Tulane University School of Medicine, New Orleans, LA.
Vishal N BhimarasettyNeurosciences BioDesign Lab, Ochsner Clinic Foundation, New Orleans, LA.
Abdul RahimThe University of Queensland Medical School, Ochsner Clinical School, New Orleans, LA.
Colin N CurtisNeurosciences BioDesign Lab, Ochsner Clinic Foundation, New Orleans, LA.
Paul GulottaDepartment of Interventional Radiology, Ochsner Clinic Foundation, New Orleans, LA.
Korak SarkarNeurosciences BioDesign Lab, Ochsner Clinic Foundation, New Orleans, LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebrovascular disease is a leading cause of death and disability worldwide, and endovascular therapies have become a mainstay of treatment for ischemic stroke. However, tortuous anatomy, particularly of the aortic arch, presents formidable treatment challenges by impeding access to intracranial circulation and thus affecting clinical outcomes. Methods: To better understand the challenges of tortuous anatomy, we fabricated 3D-printed models of the aortic arch and major branch vessels based on the imaging of 4 patients. Results: These patient-specific models were realistic representations of the intricate vascular pathways and provided enhanced visualization of the complex vascular structures. The measured diameters of the 3D-fabricated models closely matched the values reported in the literature, confirming the physical accuracy of the models. Creating an individual anatomic model required an average of 4 hours of digital processing and 13.71 hours of 3D printing, with a materials cost of approximately $17.31. Conclusion: 3D-printed patient-specific models used for neurointerventional training and preprocedural planning are a valuable tool for managing complex cerebrovascular anatomy. The advanced visualization provided by these models may enhance preparedness and potentially improve ischemic stroke treatment outcomes.

Indexed as

Anatomic variationcerebrovascular disordersmodels–anatomicneuroanatomypatient-specific modelingprinting–three-dimensionalstroke

Identifiers

PMID40538604
PMCPMC12175768

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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.