Evidence map›Paper›PMID 38619792›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Flow diverters treatment planning of small- and medium-sized intracranial saccular aneurysms on the internal carotid artery via constraint-based virtual deployment.

Zehua Liu, Meng Zhang, Chao Wang, Zhongxiao Wang, Xiangyun Liao, Chubin Ou, Weixin Si

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. 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
1.1field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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 at 4 institutions in 1 country.

Zehua Liu *Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Xueyuan street 1068, Shenzhen University Town, Nanshan District, Shenzhen, 518000, China.
Meng Zhang *Department of Neurosurgery, Shenzhen Second People's Hospital, Sungang West Road 3002, Futian District, Guangdong, 510000, China.
Chao WangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tian Tan Hospital, Capital Medical University, TiantanXili 6, Dongcheng District, Beijing, 100000, China.
Zhongxiao WangDepartment of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tian Tan Hospital, Capital Medical University, TiantanXili 6, Dongcheng District, Beijing, 100000, China.
Xiangyun LiaoShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Xueyuan street 1068, Shenzhen University Town, Nanshan District, Shenzhen, 518000, China.
Chubin OuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Zhongshan 2nd Road 106, Yuexiu District, Guangdong, 510000, China. cou@connect.ust.hk.
Weixin SiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Xueyuan street 1068, Shenzhen University Town, Nanshan District, Shenzhen, 518000, China. wx.si@siat.ac.cn.ORCID http://orcid.org/0000-0002-3289-9714
Shenzhen University · CNCapital Medical University · CNGuangdong Academy of Medical Sciences · CNShenzhen Second People's Hospital · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515030268Guangzhou Municipal Science and Technology Program key projects 2024B03J0947National Natural Science Foundation of China 62372441, U22A2034National Natural Science Foundation of China 82302300Research Grants Council of the Hong Kong Special Administrative Region T45-401/22-NShenzhen Fundamental Research Program JCYJ20200109110420626
6 · The paper itself

Abstract

purposeThe internal carotid artery (ICA) is a region with a high incidence for small- and medium-sized saccular aneurysms. However, the treatment relies heavily on the surgeon's experience to achieve optimal outcome. Although the finite element method (FEM) and computational fluid dynamics can predict the postoperative outcomes, due to the computational complexity of traditional methods, there is an urgent need for investigating the fast but versatile approaches related to numerical simulations of flow diverters (FDs) deployment coupled with the hemodynamic analysis to determine the treatment plan.

methodsWe collected the preoperative and postoperative data from 34 patients (29 females, 5 males; mean age 55.74 ± 9.98 years) who were treated with a single flow diverter for small- to medium-sized intracranial saccular aneurysms on the ICA. The constraint-based virtual deployment (CVD) method is proposed to simulate the FDs expanding outward along the vessel centerline while be constrained by the inner wall of the vessel.

resultsThe results indicate that there were no significant differences in the reduction rates of wall shear stress and aneurysms neck velocity between the FEM and methods. However, the solution time of CVD was greatly reduced by 98%.

conclusionIn the typical location of small- and medium-sized saccular aneurysms, namely the ICA, our virtual FDs deployment simulation effectively balances the computational accuracy and efficiency. Combined with hemodynamics analysis, our method can accurately represent the blood flow changes within the lesion region to assist surgeons in clinical decision-making.

Indexed as

Carotid Artery, InternalIntracranial AneurysmAgedCerebral AngiographyComputer SimulationFemaleFinite Element AnalysisHemodynamicsHumansMaleMiddle AgedStentsTreatment OutcomeComputational fluid dynamicsFlow divertersIntracranial aneurysmVirtual deployment

Identifiers

PMID38619792
OpenAlexW4394812369

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.