Literature DB >> 31848217

Aneurysm characteristics, coil packing, and post-coiling hemodynamics affect long-term treatment outcome.

Robert J Damiano1, Vincent M Tutino2, Nikhil Paliwal1, Tatsat R Patel3, Muhammad Waqas4, Elad I Levy4, Jason M Davies4, Adnan H Siddiqui5, Hui Meng6.   

Abstract

BACKGROUND: Recurrence of intracranial aneurysms after endovascular coiling is a serious clinical concern.
OBJECTIVE: We hypothesized that recurrence is associated with aneurysm morphology and flow, as well as the coil intervention and the induced flow modifications.
METHODS: We collected 52 primary-coiling aneurysm cases that were either occluded (n=34) or recurrent (n=18) at >1 year follow-up. We created aneurysm models from pre-coiling digital subtraction angiographic images, calculated aneurysm morphology, simulated pre-coiling hemodynamics, modeled coil deployment, and obtained post-coiling hemodynamics for each case. We performed univariable analysis on 26 morphologic, treatment-specific, and hemodynamic parameters to distinguish between recurrent and occluded groups, and multivariable analysis to identify independently significant parameters associated with recurrence. Univariable analysis was also performed on ruptured and unruptured aneurysm subcohorts separately to investigate if they shared specific significant parameters.
RESULTS: Recurrence was associated with pre-coiling aneurysm morphologic and flow parameters including larger size (maximum dimension and volume), larger neck (diameter, area, and neck-to-parent-artery ratio), and higher flow momentum and kinetic energy. Recurrence was also associated with lower coil packing (packing density and uncoiled volume), higher post-treatment flow (velocity, momentum, and kinetic energy), lower post-treatment washout time, and higher post-treatment impingement force at the neck. Multivariable analysis identified two aneurysmal characteristics (neck diameter and pre-coiling flow kinetic energy), one coil packing parameter (uncoiled volume), and one post-treatment hemodynamic parameter (flow momentum) that were independently associated with recurrence. In ruptured aneurysms, recurrence was associated with larger neck (diameter and area), whereas in unruptured aneurysms, recurrence was associated with larger size (maximum dimension and volume). In both subcohorts, recurrence was associated with higher post-coiling flow momentum and kinetic energy.
CONCLUSION: Recurrence at >1 year after coil treatment is associated with intrinsic aneurysm characteristics, coiling itself, and flow changes induced by coiling. Larger aneurysm size and neck, less coil packing, and higher intra-aneurysmal flow before and after coiling predict recurrence. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  aneurysm; blood flow; coil

Mesh:

Year:  2019        PMID: 31848217      PMCID: PMC7293941          DOI: 10.1136/neurintsurg-2019-015422

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  29 in total

1.  Mathematic analysis of incremental packing density with detachable coils: does that last coil matter much?

Authors:  P Taussky; D F Kallmes; H Cloft
Journal:  AJNR Am J Neuroradiol       Date:  2011-04-21       Impact factor: 3.825

Review 2.  On Flow Diversion: The Changing Landscape of Intracerebral Aneurysm Management.

Authors:  A A Dmytriw; K Phan; J M Moore; V M Pereira; T Krings; A J Thomas
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-20       Impact factor: 3.825

3.  High shear stress and flow velocity in partially occluded aneurysms prone to recanalization.

Authors:  Bin Luo; Xinjian Yang; Shengzhang Wang; Haiyun Li; Jialiang Chen; Hongyu Yu; Ying Zhang; Yisen Zhang; Shiqing Mu; Zhicheng Liu; Guanghong Ding
Journal:  Stroke       Date:  2011-01-13       Impact factor: 7.914

4.  Optimal first coil selection to avoid aneurysmal recanalization in endovascular intracranial aneurysmal coiling.

Authors:  Hiroaki Neki; Shinya Kohyama; Toshihiro Otsuka; Azusa Yonezawa; Shoichiro Ishihara; Fumitaka Yamane
Journal:  J Neurointerv Surg       Date:  2017-01-27       Impact factor: 5.836

Review 5.  Mechanisms of Healing in Coiled Intracranial Aneurysms: A Review of the Literature.

Authors:  W Brinjikji; D F Kallmes; R Kadirvel
Journal:  AJNR Am J Neuroradiol       Date:  2014-11-27       Impact factor: 3.825

6.  Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association.

Authors:  E Sander Connolly; Alejandro A Rabinstein; J Ricardo Carhuapoma; Colin P Derdeyn; Jacques Dion; Randall T Higashida; Brian L Hoh; Catherine J Kirkness; Andrew M Naidech; Christopher S Ogilvy; Aman B Patel; B Gregory Thompson; Paul Vespa
Journal:  Stroke       Date:  2012-05-03       Impact factor: 7.914

7.  Predisposing factors for recanalization of cerebral aneurysms after endovascular embolization: a multivariate study.

Authors:  Qianqian Zhang; Linkai Jing; Jian Liu; Kun Wang; Ying Zhang; Nikhil Paliwal; Hui Meng; Yang Wang; Shengzhang Wang; Xinjian Yang
Journal:  J Neurointerv Surg       Date:  2017-04-04       Impact factor: 5.836

8.  Finite element modeling of endovascular coiling and flow diversion enables hemodynamic prediction of complex treatment strategies for intracranial aneurysm.

Authors:  Robert J Damiano; Ding Ma; Jianping Xiang; Adnan H Siddiqui; Kenneth V Snyder; Hui Meng
Journal:  J Biomech       Date:  2015-06-27       Impact factor: 2.712

9.  Relation between aneurysm volume, packing, and compaction in 145 cerebral aneurysms treated with coils.

Authors:  Menno Sluzewski; Willem Jan van Rooij; Marian J Slob; Javier Oliván Bescós; Cornelis H Slump; Douwe Wijnalda
Journal:  Radiology       Date:  2004-04-29       Impact factor: 11.105

10.  Large Residual Volume, Not Low Packing Density, Is the Most Influential Risk Factor for Recanalization after Coil Embolization of Cerebral Aneurysms.

Authors:  Akiyo Sadato; Motoharu Hayakawa; Kazuhide Adachi; Ichiro Nakahara; Yuichi Hirose
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

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  5 in total

1.  Development and assessment of machine learning models for predicting recurrence risk after endovascular treatment in patients with intracranial aneurysms.

Authors:  ShiTeng Lin; Yang Zou; Jue Hu; Lan Xiang; LeHeng Guo; XinPing Lin; DaiZun Zou; Xiaoping Gao; Hui Liang; JianJun Zou; ZhiHong Zhao; XiaoMing Dai
Journal:  Neurosurg Rev       Date:  2021-10-18       Impact factor: 2.800

2.  Transcriptome-Based Dissection of Intracranial Aneurysms Unveils an "Immuno-Thermal" Microenvironment and Defines a Pathological Feature-Derived Gene Signature for Risk Estimation.

Authors:  Taoyuan Lu; Zaoqu Liu; Dehua Guo; Chi Ma; Lin Duan; Yanyan He; Rufeng Jia; Chunguang Guo; Zhe Xing; Yiying Liu; Tianxiao Li; Yingkun He
Journal:  Front Immunol       Date:  2022-05-31       Impact factor: 8.786

3.  Fast virtual coiling algorithm for intracranial aneurysms using pre-shape path planning.

Authors:  Palak Patel; Seyyed Mostafa Mousavi Janbeh Sarayi; Danyang Chen; Adam L Hammond; Robert J Damiano; Jason M Davies; Jinhui Xu; Hui Meng
Journal:  Comput Biol Med       Date:  2021-05-24       Impact factor: 6.698

4.  Risk Factors for Recurrence of Intracranial Aneurysm After Coil Embolization: A Meta-Analysis.

Authors:  Ji Jin; Geng Guo; Yeqing Ren; Biao Yang; Yongqiang Wu; Shule Wang; Yanqi Sun; Xiaogang Wang; Yuxiao Wang; Jianzhong Zheng
Journal:  Front Neurol       Date:  2022-07-22       Impact factor: 4.086

5.  The Application of "Stilted Building" Technique in the Embolization of Aneurysms with Secondary Branches.

Authors:  Yi Qi; Yongquan Sun; Yang Wang; Jianwen Jia; Hongliang Zhong; Hongchao Yang; Ming Lv; He Liu
Journal:  Biomed Res Int       Date:  2021-06-20       Impact factor: 3.411

  5 in total

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