ArticleInterface focus2011
@neurIST complex information processing toolchain for the integrated management of cerebral aneurysms.
Article in Interface focus, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05526352 (@neurIST), which is not on this map. Cited by 19 papers.
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.
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.
@neurIST : Informatique biomédicale intégrée Pour la Gestion Des anévrismes cérébraux
Who cites it
19 citing papers in PubMed, 59 citations in OpenAlex.
- Off-label in-silico flow diverter performance assessment in posterior communicating artery aneurysms.Journal of neurointerventional surgery · 2025Article
- Computational fluid dynamics and shape analysis enhance aneurysm rupture risk stratification.International journal of computer assisted radiology and surgery · 2025Article
- Assessment of intracranial aneurysm rupture risk using a point cloud-based deep learning model.Frontiers in physiology · 2024Article
- Hemodynamics of thrombus formation in intracranial aneurysms: AnAPL bioengineering · 2023Article
- Shape Trumps Size: Image-Based Morphological Analysis Reveals That the 3D Shape Discriminates Intracranial Aneurysm Disease Status Better Than Aneurysm Size.Frontiers in neurology · 2022Article
- In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials.Nature communications · 2021Article
- Cerebral Aneurysm Occlusion at 12-Month Follow-Up After Flow-Diverter Treatment: Statistical Modeling for V&V With Real-World Data.Frontiers in medical technology · 2021Article
- Modeling intracranial aneurysm stability and growth: an integrative mechanobiological framework for clinical cases.Biomechanics and modeling in mechanobiology · 2020Article
- External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.Acta neurochirurgica · 2018Article
- The Role of Hemodynamics in Intracranial Bifurcation Arteries after Aneurysm Treatment with Flow-Diverter Stents.AJNR. American journal of neuroradiology · 2018Article
- Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review.Frontiers in physiology · 2018Review
- Methodology for Computational Fluid Dynamic Validation for Medical Use: Application to Intracranial Aneurysm.Journal of biomechanical engineering · 2017Article
- Computer-Assisted Adjuncts for Aneurysmal Morphologic Assessment: Toward More Precise and Accurate Approaches.Proceedings of SPIE--the International Society for Optical Engineering · 2017Article
- Robustness of common hemodynamic indicators with respect to numerical resolution in 38 middle cerebral artery aneurysms.PloS one · 2017Article
- Computational fluid dynamics modelling in cardiovascular medicine.Heart (British Cardiac Society) · 2016Review
- Transitional flow in aneurysms and the computation of haemodynamic parameters.Journal of the Royal Society, Interface · 2015Article
- Intra-aneurysmal flow patterns: illustrative comparison among digital subtraction angiography, optical flow, and computational fluid dynamics.AJNR. American journal of neuroradiology · 2014Article
- AneuSearch: a software prototype for intracranial aneurysm searching and clinical decision support.International journal of computer assisted radiology and surgery · 2014Article
- Intra-aneurysmal pressure and flow changes induced by flow diverters: relation to aneurysm size and shape.AJNR. American journal of neuroradiology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 8 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebral aneurysms are a multi-factorial disease with severe consequences. A core part of the European project @neurIST was the physical characterization of aneurysms to find candidate risk factors associated with aneurysm rupture. The project investigated measures based on morphological, haemodynamic and aneurysm wall structure analyses for more than 300 cases of ruptured and unruptured aneurysms, extracting descriptors suitable for statistical studies. This paper deals with the unique challenges associated with this task, and the implemented solutions. The consistency of results required by the subsequent statistical analyses, given the heterogeneous image data sources and multiple human operators, was met by a highly automated toolchain combined with training. A testimonial of the successful automation is the positive evaluation of the toolchain by over 260 clinicians during various hands-on workshops. The specification of the analyses required thorough investigations of modelling and processing choices, discussed in a detailed analysis protocol. Finally, an abstract data model governing the management of the simulation-related data provides a framework for data provenance and supports future use of data and toolchain. This is achieved by enabling the easy modification of the modelling approaches and solution details through abstract problem descriptions, removing the need of repetition of manual processing work.
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What OpenQuestion holds
Registered trials
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.