Evidence map›Paper›PMID 39128410›Full record

ArticleJournal of biomechanics2024

Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA.

Hujin Xie, Han Yu, Hao Wu, Jiaqiu Wang, Shanglin Wu, Jianjian Zhang, Huilin Zhao, Mingyang Yuan, Jessica Benitez Mendieta, Haveena Anbananthan and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Hujin XieSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: hujin.xie@qut.edu.au.
Han YuSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: h27.yu@qut.edu.au.
Hao WuSchool of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, Jiangsu, China. Electronic address: 836924359@qq.com.
Jiaqiu WangSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia; School of Engineering, London South Bank University, London, United Kingdom. Electronic address: jiaqiu.wang@lsbu.ac.uk.
Shanglin WuSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: shanglin.wu@hdr.qut.edu.au.
Jianjian ZhangDepartment of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, China. Electronic address: zjj-1108@163.com.
Huilin ZhaoDepartment of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, China. Electronic address: huilinzhao2013@163.com.
Mingyang YuanSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: mingyang.yuan@hdr.qut.edu.au.
Jessica Benitez MendietaSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: j2.benitezmendieta@qut.edu.au.
Haveena AnbananthanSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia. Electronic address: haveenanandhini.anbananthan@hdr.qut.edu.au.
Craig WinterThe Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women's Hospital, Brisbane, QLD 4006, Australia. Electronic address: Craig.Winter@health.qld.gov.au.
Chengcheng ZhuDepartment of Radiology, University of Washington School of Medicine, Seattle, WA, United States. Electronic address: zhucheng043@gmail.com.
Zhiyong LiSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia; Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD 4000, Australia; Faculty of Sports Science, Ningbo University, Ningbo 315211, Zhejiang, China. Electronic address: zhiyong.li@qut.edu.au.

Funding

Investigation of the quantitative intracranial aneurysm wall enhancement and geometric features associated with aneurysm volume growthR01HL162743 · NHLBI · UNIVERSITY OF WASHINGTON · PI Chengcheng Zhu · 2022 to 2026
$2.4M
Characterization of intracranial vessel wall morphology and inflammation using 3D high resolution MRIR00HL136883 · NHLBI · UNIVERSITY OF WASHINGTON · PI ZHU, CHENGCHENG · 2020 to 2022
$747k
NHLBI NIH HHS R00 HL136883NHLBI NIH HHS R01 HL162743
6 · The paper itself

Abstract

Recent studies have suggested that irregular pulsation of intracranial aneurysm during the cardiac cycle may be potentially associated with aneurysm rupture risk. However, there is a lack of quantification method for irregular pulsations. This study aims to quantify irregular pulsations by the displacement and strain distribution of the intracranial aneurysm surface during the cardiac cycle using four-dimensional CT angiographic image data. Four-dimensional CT angiography was performed in 8 patients. The image data of a cardiac cycle was divided into approximately 20 phases, and irregular pulsations were detected in four intracranial aneurysms by visual observation, and then the displacement and strain of the intracranial aneurysm was quantified using coherent point drift and finite element method. The displacement and strain were compared between aneurysms with irregular and normal pulsations in two different ways (total and stepwise). The stepwise first principal strain was significantly higher in aneurysms with irregular than normal pulsations (0.20±0.01 vs 0.16±0.02, p=0.033). It was found that the irregular pulsations in intracranial aneurysms usually occur during the consecutive ascending or descending phase of volume changes during the cardiac cycle. In addition, no statistically significant difference was found in the aneurysm volume changes over the cardiac cycle between the two groups. Our method can successfully quantify the displacement and strain changes in the intracranial aneurysm during the cardiac cycle, which may be proven to be a useful tool to quantify intracranial aneurysm deformability and aid in aneurysm rupture risk assessment.

Indexed as

Four-Dimensional Computed TomographyIntracranial AneurysmAdultAgedComputed Tomography AngiographyFemaleHumansMaleMiddle AgedPulsatile Flow4D-CTAIntracranial aneurysmIrregular pulsationStrain

Identifiers

PMID39128410
PMCPMC12208680

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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.