Evidence map›Paper›PMID 39944658›Full record

ReviewFrontiers in cardiovascular medicine2024

Application of three-dimensional printing in the planning and execution of aortic aneurysm repair.

Harshank Patel, Paul Choi, Jennifer C Ku, Rosemary Vergara, Rafael Malgor, Dhiren Patel, Yong Li

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. 3D printing-assisted triple-vesselFrontiers in cardiovascular medicine · 2025
    Article
  4. 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

7 authors.

Harshank PatelDepartment of Internal Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
Paul ChoiDepartment of Vascular Surgery, Colorado University, Denver, CO, United States.
Jennifer C KuDepartment of Surgical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
Rosemary VergaraDepartment of Surgical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
Rafael MalgorDepartment of Vascular Surgery, Colorado University, Denver, CO, United States.
Dhiren PatelDepartment of Vascular Surgery, Southern Illinois University, Springfield, IL, United States.
Yong LiDepartment of Surgical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The accuracy of fenestrations in stent grafts for complex aortic aneurysms and dissections can be significantly improved using three-dimensional (3D)-printed phantoms. Standardization is enhanced by using artificial intelligence (AI) for image pre-processing before 3D printing. These methods address fallacies in centerline image analysis and manual image pre-processing. This review examines the application of 3D printing and AI in complex aortic aneurysm repair, highlighting current clinical trends. Methods: An exhaustive literature review was performed using keywords such as "3D printing," "Artificial intelligence," "Thoracoabdominal aneurysm," "Abdominal aortic aneurysm," "Aortic arch aneurysm," "Endovascular repair," and "Open repair" in PubMed and Google Scholar indexes up to June 2022. Results: This analysis included seven studies: four focused on 3D-printed phantoms for endovascular repair of various aortic pathologies (aortic arch, thoracoabdominal aorta, juxtarenal and pararenal aorta), one on open thoracoabdominal aneurysm repair using 3D-printed models for graft construction, and two on the use of convolutional neural networks, an AI-based technology, for the pre-processing of aortic computed tomography angiography images. Conclusion: The application of 3D printing and AI-based image pre-processing in the planning of complex aortic aneurysms offers several benefits, including enhanced patient and trainee education, more accurate fenestration placement, reduced surgical time and complications, and decreased surgeon stress.

Indexed as

3D phantomsartificial intelligenceendovascular aneurysm repairphysician-modified endovascular graftsthoracoabdominal aortic aneurysms

Identifiers

PMID39944658
PMCPMC11814437

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.