Evidence map›Paper›PMID 41415533›Full record

ArticleFrontiers in surgery2025

Clinical use of 3D printed models for anterior communicating artery aneurysm clipping: a prospective cohort study.

Chudi Feng, Jianli Wang, Keqiong Lv, Changming Dong, Jinquan Li, Li Zhao, Ying Duan, Honghong Shao, Zigang Yuan

Abstract read
PubMed Full text at PMC Publisher
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

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

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

9 authors.

Chudi Feng *The First Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China.
Jianli Wang *The Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Keqiong LvThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Changming DongThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Jinquan LiThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Li ZhaoThe Department of Radiology, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Ying DuanThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Honghong ShaoThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Zigang YuanThe Department of Neurosurgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The complex anatomy of anterior communicating artery aneurysms (ACoA) makes microsurgical clipping challenging. This study assessed the clinical value of 3D printed models based on digital subtraction angiography (DSA) in the surgical management of ACoA aneurysms, with a comprehensive analysis of ruptured and unruptured cases. Methods: A prospective cohort study was conducted from 2022 to 2023, involving 60 patients with ACoA aneurysms. The study included both ruptured ( Results: At 14 days postoperatively, the model group demonstrated significantly lower rates of residual aneurysm neck (0% vs. 20%, Conclusion: 3D printed models derived from DSA imaging significantly enhance the surgical management of ACoA aneurysms, offering improved diagnostic accuracy, reduced complications, and better functional outcomes. The average production time of 2-8 h and cost of approximately $120 USD per model make this approach feasible even for time-sensitive cases. These findings highlight the potential of patient-specific 3D models as a valuable adjunct in the management of complex ACoA aneurysms.

Indexed as

3D printinganeurysm clipping surgeryanterior communicating artery aneurysmcomplex aneurysm modelsurgical simulation

Identifiers

PMID41415533
PMCPMC12708917

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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.