Evidence map›Paper›PMID 32761490›Full record

Review3D printing in medicine2020

Intracranial vasculature 3D printing: review of techniques and manufacturing processes to inform clinical practice.

Petrice M Cogswell, Matthew A Rischall, Amy E Alexander, Hunter J Dickens, Giuseppe Lanzino, Jonathan M Morris

Abstract readReview
In one paragraph

Review in 3D printing in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Petrice M CogswellDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA. cogswell.petrice@mayo.edu.ORCID http://orcid.org/0000-0002-8128-4476
Matthew A RischallSuburban Imaging, 4801 West 81st Street, Suite 108, Bloomington, MN, 55437, USA.
Amy E AlexanderDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Hunter J DickensDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Giuseppe LanzinoDepartment of Neurosurgery, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Jonathan M MorrisDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, three-dimensional (3D) printing has been increasingly applied to the intracranial vasculature for patient-specific surgical planning, training, education, and research. Unfortunately, though, much of the prior literature regarding 3D printing has focused on the end-product and not the process. In addition, for 3D printing/manufacturing to occur on a large scale, challenges and bottlenecks specific to each modeled anatomy must be overcome. MAIN BODY: In this review article, limitations and considerations of each 3D printing processing step, as they relate to printing individual intracranial vasculature models and providing an active clinical service for a quaternary care center, are discussed. Relevant advantages and disadvantages of the available acquisition techniques (computed tomography, magnetic resonance, and digital subtraction angiography) are reviewed. Specific steps in segmentation, processing, and creation of a printable file may impede the workflow or degrade the fidelity of the printed model and are, therefore, given added attention. The various available printing techniques are compared with respect to printing the intracranial vasculature. Finally, applications are discussed, and a variety of example models are shown.

conclusionIn this review we provide insight into the manufacturing of 3D models of the intracranial vasculature that may facilitate incorporation into or improve utility of 3D vascular models in clinical practice.

Indexed as

3D printingCerebral angiographyIntracranial vasculaturePatient specific models

Identifiers

PMID32761490
PMCPMC7409717

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.