Evidence map›Paper›PMID 31054128›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.

Philipp Berg, Samuel Voß, Gábor Janiga, Sylvia Saalfeld, Aslak W Bergersen, Kristian Valen-Sendstad, Jan Bruening, Leonid Goubergrits, Andreas Spuler, Tin Lok Chiu and 34 more

Abstract read
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Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Multimodal exploration of the intracranial aneurysm wall.International journal of computer assisted radiology and surgery · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms.International journal of computer assisted radiology and surgery · 2020
    Article
  11. Review
  12. A novel virtual flow diverter implantation method with realistic deployment mechanics and validated force response.International journal for numerical methods in biomedical engineering · 2020
    Article
  13. Review
  14. Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices.International journal of computer assisted radiology and surgery · 2020
    Article
  15. Article
  16. 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

44 authors at 20 institutions in 11 countries.

Philipp BergUniversity of Magdeburg, Magdeburg, Germany. berg@ovgu.de.ORCID http://orcid.org/0000-0003-4140-6771
Samuel VoßUniversity of Magdeburg, Magdeburg, Germany.
Gábor JanigaUniversity of Magdeburg, Magdeburg, Germany.
Sylvia SaalfeldUniversity of Magdeburg, Magdeburg, Germany.
Aslak W BergersenSimula Research Laboratory, Lysaker, Norway.
Kristian Valen-SendstadSimula Research Laboratory, Lysaker, Norway.
Jan BrueningCharité - Universitätsmedizin, Berlin, Germany.
Leonid GoubergritsCharité - Universitätsmedizin, Berlin, Germany.
Andreas SpulerHelios Hospital Berlin Buch, Berlin, Germany.
Tin Lok ChiuUniversity of Hong Kong, Hong Kong, China.
Anderson Chun On TsangUniversity of Hong Kong, Hong Kong, China.
Gabriele CopelliUniversity of Parma, Parma, Italy.
Benjamin CsippaBudapest University of Technology and Economics, Budapest, Hungary.
György PaálBudapest University of Technology and Economics, Budapest, Hungary.
Gábor ZávodszkyBudapest University of Technology and Economics, Budapest, Hungary.
Felicitas J DetmerGeorge Mason University, Fairfax, VA, USA.
Bong J ChungGeorge Mason University, Fairfax, VA, USA.
Juan R CebralGeorge Mason University, Fairfax, VA, USA.
Soichiro FujimuraTokyo University of Science, Tokyo, Japan.
Hiroyuki TakaoTokyo University of Science, Tokyo, Japan.
Christof KarmonikHouston Methodist Research Institute, Houston, TX, USA.
Saba EliasHouston Methodist Research Institute, Houston, TX, USA.
Nicole M CancelliereToronto Western Hospital, Toronto, ON, Canada.
Mehdi NajafiUniversity of Toronto, Toronto, ON, Canada.
David A SteinmanUniversity of Toronto, Toronto, ON, Canada.
Vitor M PereiraToronto Western Hospital, Toronto, ON, Canada.
Senol PiskinThe University of Texas at San Antonio, San Antonio, TX, USA.
Ender A FinolThe University of Texas at San Antonio, San Antonio, TX, USA.
Mariya PravdivtsevaUniversity Medical Center Schleswig-Holstein, Kiel, Germany.
Prasanth VelvaluriChristian-Albrechts-University, Kiel, Germany.
Hamidreza Rajabzadeh-OghazState University of New York, Buffalo, NY, USA.
Nikhil PaliwalState University of New York, Buffalo, NY, USA.
Hui MengState University of New York, Buffalo, NY, USA.
Santhosh SeshadhriMedtronic Engineering Innovation Centre, Hyderabad, India.
Sreenivas VenguruMedtronic Engineering Innovation Centre, Hyderabad, India.
Masaaki ShojimaSaitama Medical University General Hospital, Saitama, Japan.
Sergey SindeevTambov State Technical University, Tambov, Russia.
Sergey FrolovTambov State Technical University, Tambov, Russia.
Yi QianMacquarie University, Sydney, Australia.
Yu-An WuMayo Clinic, Rochester, MN, USA.
Kent D CarlsonMayo Clinic, Rochester, MN, USA.
David F KallmesMayo Clinic, Rochester, MN, USA.
Dan Dragomir-DaescuMayo Clinic, Rochester, MN, USA.
Oliver BeuingUniversity Hospital Magdeburg, Magdeburg, Germany.
University Hospital Magdeburg · DEMayo Clinic in Arizona · USBudapest University of Technology and Economics · HUGeorge Mason University · USUniversity at Buffalo, State University of New York · USCharité - Universitätsmedizin Berlin · DEHouston Methodist · USMedtronic (India) · INSimula Research Laboratory · NOTambov State Technical University · RUThe University of Texas at San Antonio · USTokyo University of Science · JPToronto Western Hospital · CAUniversity of Hong Kong · HKUniversity of Toronto · CAChristian-Albrechts-Universität zu Kiel · DEHelios Hospital Berlin-Buch · DEMacquarie University · AUSaitama Medical University Hospital · JPUniversity Hospital Schleswig-Holstein · DE

Funding

Bundesministerium für Bildung und Forschung 13GW0095ADeutsche Forschungsgemeinschaft 399581926
6 · The paper itself

Abstract

purposeAssessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited.

methodsTo provide an overview of state-of-the-art blood flow simulation capabilities, the Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) was conducted. Seventeen research groups from all over the world performed segmentations and hemodynamic simulations to identify the ruptured aneurysm in a patient harboring five IAs. Although simulation setups revealed good similarity, clear differences exist with respect to the analysis of aneurysm shape and blood flow results. Most groups (12/71%) included morphological and hemodynamic parameters in their analysis, with aspect ratio and wall shear stress as the most popular candidates, respectively.

resultsThe majority of groups (7/41%) selected the largest aneurysm as being the ruptured one. Four (24%) of the participating groups were able to correctly select the ruptured aneurysm, while three groups (18%) ranked the ruptured aneurysm as the second most probable. Successful selections were based on the integration of clinically relevant information such as the aneurysm site, as well as advanced rupture probability models considering multiple parameters. Additionally, flow characteristics such as the quantification of inflow jets and the identification of multiple vortices led to correct predictions.

conclusionsMATCH compares state-of-the-art image-based blood flow simulation approaches to assess the rupture risk of IAs. Furthermore, this challenge highlights the importance of multivariate analyses by combining clinically relevant metadata with advanced morphological and hemodynamic quantification.

Indexed as

Cerebral AngiographyModels, CardiovascularAneurysm, RupturedCerebrovascular CirculationComputational BiologyHemodynamicsHumansIntracranial AneurysmRisk AssessmentRisk FactorsHemodynamic simulationInternational challengeIntracranial aneurysmRupture risk

Identifiers

PMID31054128
OpenAlexW2943246067

What OpenQuestion holds

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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.