Literature DB >> 18797347

Morphology parameters for intracranial aneurysm rupture risk assessment.

Sujan Dhar1, Markus Tremmel, J Mocco, Minsuok Kim, Junichi Yamamoto, Adnan H Siddiqui, L Nelson Hopkins, Hui Meng.   

Abstract

OBJECTIVE: The aim of this study is to identify image-based morphological parameters that correlate with human intracranial aneurysm (IA) rupture.
METHODS: For 45 patients with terminal or sidewall saccular IAs (25 unruptured, 20 ruptured), three-dimensional geometries were evaluated for a range of morphological parameters. In addition to five previously studied parameters (aspect ratio, aneurysm size, ellipticity index, nonsphericity index, and undulation index), we defined three novel parameters incorporating the parent vessel geometry (vessel angle, aneurysm [inclination] angle, and [aneurysm-to-vessel] size ratio) and explored their correlation with aneurysm rupture. Parameters were analyzed with a two-tailed independent Student's t test for significance; significant parameters (P < 0.05) were further examined by multivariate logistic regression analysis. Additionally, receiver operating characteristic analyses were performed on each parameter.
RESULTS: Statistically significant differences were found between mean values in ruptured and unruptured groups for size ratio, undulation index, nonsphericity index, ellipticity index, aneurysm angle, and aspect ratio. Logistic regression analysis further revealed that size ratio (odds ratio, 1.41; 95% confidence interval, 1.03-1.92) and undulation index (odds ratio, 1.51; 95% confidence interval, 1.08-2.11) had the strongest independent correlation with ruptured IA. From the receiver operating characteristic analysis, size ratio and aneurysm angle had the highest area under the curve values of 0.83 and 0.85, respectively.
CONCLUSION: Size ratio and aneurysm angle are promising new morphological metrics for IA rupture risk assessment. Because these parameters account for vessel geometry, they may bridge the gap between morphological studies and more qualitative location-based studies.

Entities:  

Mesh:

Year:  2008        PMID: 18797347      PMCID: PMC2570753          DOI: 10.1227/01.NEU.0000316847.64140.81

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  31 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

2.  Intracranial aneurysms: is there still a place for neurosurgery?

Authors:  N de Tribolet; P Bijlenga
Journal:  Acta Neurochir (Wien)       Date:  2006-02       Impact factor: 2.216

3.  Quantified aneurysm shape and rupture risk.

Authors:  Madhavan L Raghavan; Baoshun Ma; Robert E Harbaugh
Journal:  J Neurosurg       Date:  2005-02       Impact factor: 5.115

4.  Prevalence and risk of rupture of intracranial aneurysms: a systematic review.

Authors:  G J Rinkel; M Djibuti; A Algra; J van Gijn
Journal:  Stroke       Date:  1998-01       Impact factor: 7.914

5.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
Journal:  Stroke       Date:  2004-11       Impact factor: 7.914

6.  Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study.

Authors:  Yiemeng Hoi; Hui Meng; Scott H Woodward; Bernard R Bendok; Ricardo A Hanel; Lee R Guterman; L Nelson Hopkins
Journal:  J Neurosurg       Date:  2004-10       Impact factor: 5.115

7.  Difference in configuration of ruptured and unruptured intracranial aneurysms determined by biplanar digital subtraction angiography.

Authors:  J Beck; S Rohde; M el Beltagy; M Zimmermann; J Berkefeld; V Seifert; A Raabe
Journal:  Acta Neurochir (Wien)       Date:  2003-10       Impact factor: 2.216

8.  Familial intracranial aneurysms: an analysis of 346 multiplex Finnish families.

Authors:  Shannon Wills; Antti Ronkainen; Monique van der Voet; Helena Kuivaniemi; Katariina Helin; Eira Leinonen; Juhana Frösen; Mika Niemela; Juha Jääskeläinen; Juha Hernesniemi; Gerard Tromp
Journal:  Stroke       Date:  2003-05-15       Impact factor: 7.914

9.  Outcome of aneurysmal subarachnoid haemorrhage following the introduction of papaverine angioplasty.

Authors:  M Morgan; S Halcrow; W Sorby; V Grinnell
Journal:  J Clin Neurosci       Date:  1996-04       Impact factor: 1.961

10.  Epidemiology of the size distribution of intracranial bifurcation aneurysms: smaller size of distal aneurysms and increasing size of unruptured aneurysms with age.

Authors:  Bob S Carter; Sunil Sheth; Eric Chang; Manish Sethl; Christopher S Ogilvy
Journal:  Neurosurgery       Date:  2006-02       Impact factor: 4.654

View more
  133 in total

Review 1.  Computational fluid dynamics in brain aneurysms.

Authors:  Daniel M Sforza; Christopher M Putman; Juan R Cebral
Journal:  Int J Numer Method Biomed Eng       Date:  2011-11-28       Impact factor: 2.747

2.  Statistical wall shear stress maps of ruptured and unruptured middle cerebral artery aneurysms.

Authors:  L Goubergrits; J Schaller; U Kertzscher; N van den Bruck; K Poethkow; Ch Petz; H-Ch Hege; A Spuler
Journal:  J R Soc Interface       Date:  2011-09-28       Impact factor: 4.118

3.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

Review 4.  Endovascular management of cerebral aneurysm : review of the literature.

Authors:  Mario Zanaty; Nohra Chalouhi; Stavropoula I Tjoumakaris; Robert H Rosenwasser; Pascal M Jabbour
Journal:  Transl Stroke Res       Date:  2013-11-24       Impact factor: 6.829

5.  Computer-Assisted Adjuncts for Aneurysmal Morphologic Assessment: Toward More Precise and Accurate Approaches.

Authors:  Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Jason M Davies; Ashkan Mowla; Hakeem J Shakir; Ashish Sonig; Hussain Shallwani; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui; Hui Meng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-03

6.  Hemodynamic-morphological discriminant models for intracranial aneurysm rupture remain stable with increasing sample size.

Authors:  Jianping Xiang; Jihnhee Yu; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui; Hui Meng
Journal:  J Neurointerv Surg       Date:  2014-12-08       Impact factor: 5.836

7.  Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms.

Authors:  Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Hussain Shallwani; Vincent M Tutino; Ashkan Mowla; Hakeem J Shakir; Kunal Vakharia; Gursant S Atwal; Adnan H Siddiqui; Jason M Davies; Hui Meng
Journal:  World Neurosurg       Date:  2018-08-01       Impact factor: 2.104

8.  Performance assessment of isolation methods for geometrical cerebral aneurysm analysis.

Authors:  Rubén Cárdenes; Ignacio Larrabide; Luis San Román; Alejandro F Frangi
Journal:  Med Biol Eng Comput       Date:  2012-12-06       Impact factor: 2.602

9.  Outcome prediction of intracranial aneurysm treatment by flow diverters using machine learning.

Authors:  Nikhil Paliwal; Prakhar Jaiswal; Vincent M Tutino; Hussain Shallwani; Jason M Davies; Adnan H Siddiqui; Rahul Rai; Hui Meng
Journal:  Neurosurg Focus       Date:  2018-11-01       Impact factor: 4.047

Review 10.  Suggested connections between risk factors of intracranial aneurysms: a review.

Authors:  Juan R Cebral; Marcelo Raschi
Journal:  Ann Biomed Eng       Date:  2012-12-14       Impact factor: 3.934

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.