Evidence map›Paper›PMID 34997376›Full record

ArticleJournal of digital imaging2022

Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study.

R Kaufmann, C J Zech, M Takes, P Brantner, F Thieringer, M Deutschmann, K Hergan, B Scharinger, S Hecht, R Rezar and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of digital imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-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

14 citing papers in PubMed, 28 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

R KaufmannDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria. re.kaufmann@salk.at.ORCID 0000-0002-0037-5211
C J ZechClinic of Radiology & Nuclear Medicine, University Hospital Basel, University of Basel, 4031, Basel, Switzerland.
M TakesClinic of Radiology & Nuclear Medicine, University Hospital Basel, University of Basel, 4031, Basel, Switzerland.
P BrantnerClinic of Radiology & Nuclear Medicine, University Hospital Basel, University of Basel, 4031, Basel, Switzerland.
F ThieringerClinic for Oral and Maxillofacial Surgery, University Hospital Basel, University of Basel, 4031, Basel, Switzerland.
M DeutschmannDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
K HerganDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
B ScharingerDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
S HechtDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
R RezarClinic of Internal Medicine II, Department of Cardiology and Internal Intensive Care Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
B WernlyClinic of Internal Medicine II, Department of Cardiology and Internal Intensive Care Medicine, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
M MeissnitzerDepartment of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020, Salzburg, Austria.
Paracelsus Medical University · ATUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) printing of vascular structures is of special interest for procedure simulations in Interventional Radiology, but remains due to the complexity of the vascular system and the lack of biological tissue mimicking 3D printing materials a technical challenge. In this study, the technical feasibility, accuracy, and usability of a recently introduced silicone-like resin were evaluated for endovascular procedure simulations and technically compared to a commonly used standard clear resin. Fifty-four vascular models based on twenty-seven consecutive embolization cases were fabricated from preinterventional CT scans and each model was checked for printing success and accuracy by CT-scanning and digital comparison to its original CT data. Median deltas (Δ) of luminal diameters were 0.35 mm for clear and 0.32 mm for flexible resin (216 measurements in total) with no significant differences (p > 0.05). Printing success was 85.2% for standard clear and 81.5% for the novel flexible resin. In conclusion, vascular 3D printing with silicone-like flexible resin was technically feasible and highly accurate. This is the first and largest consecutive case series of 3D-printed embolizations with a novel biological tissue mimicking material and is a promising next step in patient-specific procedure simulations in Interventional Radiology.

Indexed as

Printing, Three-DimensionalRadiology, InterventionalFeasibility StudiesHumansSiliconesTomography, X-Ray ComputedSiliconesAngiographyPrintingRadiology, InterventionalStereolithographyThree-dimensional

Identifiers

PMID34997376
PMCPMC8854516
OpenAlexW4206766164

What OpenQuestion holds

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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.