Evidence map›Paper›PMID 40370766›Full record

ArticleFrontiers in surgery2025

Feasibility and practicality of a novel teaching aid for microvascular anastomosis simulation training in neurosurgery generated by 3D printing.

Guosheng Shi, Huiling Ren, Dawei Zhao, Yunwei Cui, Xiang Su, Suwei Yan, Wei Bu

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Guosheng ShiDepartment of Neurosurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Huiling RenDepartment of Neurology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Dawei ZhaoDepartment of Neurosurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Yunwei CuiInstitute of Bone Research, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Xiang SuDepartment of Neurosurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Suwei YanDepartment of Neurosurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Wei BuDepartment of Neurosurgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to develop a novel teaching aid for microvascular anastomosis training in neurosurgery using 3D printing technology based on CT and MRI imaging data, and to evaluate its effectiveness and practicality. Methods: Based on CT or MRI imaging data, a 3D model integrating micro-vessels, skull, and brain tissue was fabricated and connected to a peristaltic pump and a pipeline system to create a teaching aid for microvascular anastomosis simulation training. Twenty senior medical students were recruited and divided into two groups: a control group, which trained using traditional soft rubber tubes, and an observation group, which trained using the 3D-printed teaching aid. Following the training, participants from both groups performed chicken wing artery anastomosis. The training outcomes, including the patency rate of vascular anastomosis, the time required to complete the anastomosis, and the trainees' surgical performance, were evaluated. Additionally, six experienced neurosurgeons were recruited to teach the course using both teaching aids for two hours each. They were then surveyed via a questionnaire to assess and rate the effectiveness of the teaching aids. Results: The observation group demonstrated a significantly higher patency rate of vascular anastomosis, a shorter time to complete the anastomosis, and higher scores for surgical proficiency and procedural standardization compared to the control group (all Conclusion: The novel 3D-printed teaching aid serves as an effective tool for microvascular anastomosis training in neurosurgery, offering significant advantages such as enhanced training effectiveness, high-fidelity simulation, cost efficiency, and customization capabilities.

Indexed as

3D printed teaching aid3D printingmicrosurgeryneurosurgerysimulation trainingvascular anastomosis

Identifiers

PMID40370766
PMCPMC12075562

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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.