Evidence map›Paper›PMID 23392863›Full record

ArticleAnnals of biomedical engineering2013

A shell-based inverse approach of stress analysis in intracranial aneurysms.

Jia Lu, Shouhua Hu, Madhavan L Raghavan

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-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

5 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jia LuDepartment of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA. jialu@engineering.uiowa.edu
Shouhua Hu
Madhavan L Raghavan
University of Iowa · US

Funding

Assessment of intracranial aneurysm shape as an indicator of rupture riskR01HL083475 · NHLBI · UNIVERSITY OF IOWA · PI RAGHAVAN, MADHAVAN L · 2007 to 2011
$2.9M
NHLBI NIH HHS 1R01HL083475NHLBI NIH HHS R01 HL083475
6 · The paper itself

Abstract

Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors' team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed.

Indexed as

Models, BiologicalAngiographyArteriesFinite Element AnalysisHumansIntracranial AneurysmPressureStress, Mechanical

Identifiers

PMID23392863
PMCPMC3679309
OpenAlexW2062233482

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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.