Literature DB >> 15978170

Mathematical model of the rupture mechanism of intracranial saccular aneurysms through daughter aneurysm formation and growth.

Hui Meng1, Yixiang Feng, Scott H Woodward, Bernard R Bendok, Ricardo A Hanel, Lee R Guterman, L Nelson Hopkins.   

Abstract

OBJECTIVES: Daughter aneurysms have been strongly associated with saccular aneurysm rupture. We constructed a mathematical model to help explain this association as a possible hemodynamic mechanism for intracranial saccular aneurysm rupture.
METHODS: Our model is based on the assumption that when an aneurysm reaches a state of imminent rupture, the weakest area of the aneurysm wall responds passively to a surge of intra-aneurysmal pressure by forming a daughter aneurysm that will be the site of the eventual rupture. The daughter and parent aneurysms were assumed to be spherical. Using mathematical modeling, the growth of the daughter aneurysm was observed. To obtain the change in tensile stress in the daughter aneurysm wall under constant pressure and changing geometry, the Law of Laplace was applied to the parent and the daughter aneurysms.
RESULTS: The model reveals that the stress factor, i.e. tensile stress in the daughter aneurysm wall relative to the wall strength (rupture point), is dependent on two geometric parameters: the orifice factor (mu), which represents the relative size of the daughter aneurysm orifice radius to the parent aneurysm radius; and the aspect ratio (lambda), which represents the height-to-orifice ratio of the daughter aneurysm. As the daughter aneurysm develops, the stress factor first decreases to protect against rupture. Minimal stress is attained at an aspect ratio (lambda) of 0.577 regardless of the orifice factor. This is a relatively stable state. Further growth of the daughter aneurysm results in an increase of stress above the minimum, eventually leading to rupture at a stress factor of 1. A smaller orifice factor mu allows this aneurysm to grow to a higher aspect ratio lambda before rupture. DISCUSSION: Daughter aneurysm formation is a likely path to aneurysm rupture. The formation of a daughter aneurysm temporarily decreases the tensile stress within a parent aneurysm in which rupture is imminent, indicating a temporary protective role of daughter aneurysm development. Aneurysms harboring daughter aneurysms are at a more advanced stage of development, hence at a greater risk for rupture. The severity of the rupture risk can be estimated on the basis of daughter aneurysm geometry; aspect ratio lambda > 0.577 indicates a greater risk of rupture. Furthermore, daughter aneurysms with larger orifices are associated with a greater risk of rupture.

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Year:  2005        PMID: 15978170     DOI: 10.1179/016164105X25171

Source DB:  PubMed          Journal:  Neurol Res        ISSN: 0161-6412            Impact factor:   2.448


  14 in total

Review 1.  Intracranial aneurysms: links among inflammation, hemodynamics and vascular remodeling.

Authors:  Tomoki Hashimoto; Hui Meng; William L Young
Journal:  Neurol Res       Date:  2006-06       Impact factor: 2.448

Review 2.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

3.  Risk factors for the progression of unruptured intracranial aneurysms in patients followed by CT/MR angiography.

Authors:  Guang-Xian Wang; Lan-Lan Liu; Yan Yang; Li Wen; Chun-Mei Duan; Jin-Bo Yin; Dong Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-09

Review 4.  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

5.  Morphology parameters for intracranial aneurysm rupture risk assessment.

Authors:  Sujan Dhar; Markus Tremmel; J Mocco; Minsuok Kim; Junichi Yamamoto; Adnan H Siddiqui; L Nelson Hopkins; Hui Meng
Journal:  Neurosurgery       Date:  2008-08       Impact factor: 4.654

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

Authors:  Jia Lu; Shouhua Hu; Madhavan L Raghavan
Journal:  Ann Biomed Eng       Date:  2013-02-08       Impact factor: 3.934

Review 7.  Intracranial and abdominal aortic aneurysms: similarities, differences, and need for a new class of computational models.

Authors:  J D Humphrey; C A Taylor
Journal:  Annu Rev Biomed Eng       Date:  2008       Impact factor: 9.590

Review 8.  The development and the use of experimental animal models to study the underlying mechanisms of CA formation.

Authors:  Tomohiro Aoki; Masaki Nishimura
Journal:  J Biomed Biotechnol       Date:  2010-12-28

9.  Age and morphology of posterior communicating artery aneurysms.

Authors:  Jian Zhang; Anil Can; Pui Man Rosalind Lai; Srinivasan Mukundan; Victor M Castro; Dmitriy Dligach; Sean Finan; Sheng Yu; Vivian S Gainer; Nancy A Shadick; Guergana Savova; Shawn N Murphy; Tianxi Cai; Scott T Weiss; Rose Du
Journal:  Sci Rep       Date:  2020-07-14       Impact factor: 4.379

Review 10.  TNF-alpha-mediated inflammation in cerebral aneurysms: a potential link to growth and rupture.

Authors:  Thottala Jayaraman; Andrew Paget; Yang Sam Shin; Xiaguai Li; Jillian Mayer; Hinaw Chaudhry; Yasunari Niimi; Michael Silane; Alejandro Berenstein
Journal:  Vasc Health Risk Manag       Date:  2008
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