Literature DB >> 31813355

Rupture Risk of Small Unruptured Intracranial Aneurysms in Japanese Adults.

Takashi Suzuki1,2, Hiroyuki Takao1,3,4, Saikiran Rapaka5, Soichiro Fujimura1,4, Cosmin Ioan Nita6,7, Yuya Uchiyama1,4, Hiroshi Ohno1,4, Katharina Otani8,3, Chihebeddine Dahmani9, Viorel Mihalef5, Puneet Sharma5, Ashraf Mohamed8, Thomas Redel10, Toshihiro Ishibashi3, Makoto Yamamoto11, Yuichi Murayama3.   

Abstract

Background and Purpose- Therapeutic decision making for small unruptured intracranial aneurysms (<10 mm) is difficult. We aimed to develop a rupture risk model for small intracranial aneurysms in Japanese adults, including clinical, morphological, and hemodynamic parameters. Methods- We analyzed 338 small unruptured aneurysms; 35 ruptured during the observation period, and 303 remained stable. Clinical, morphological, and hemodynamic parameters were considered. Computational fluid dynamics was used to calculate hemodynamic parameters based on computed tomography images of all aneurysms in their unruptured state. Differences between the ruptured and unruptured groups were tested by the Mann-Whitney U or Fisher exact tests. Multivariate logistic regression was applied to obtain a rupture risk model. Its predictive ability was investigated by receiver operating characteristic analysis. Results- The risk model revealed that rupture may be more likely to in younger patients (odds ratio [OR], 0.92 for each age increase of 1 year [95% CI, 0.88-0.96] P<0.001) with multiple aneurysms (OR, 2.58 [95% CI, 1.07-6.19] P=0.03), located at a bifurcation (OR, 5.45 [95% CI, 1.87-15.85] P=0.002), with a bleb (OR, 4.09 [95% CI, 1.42-11.79] P=0.009), larger length (OR, 1.91 for each increase of 1 mm [95% CI, 1.42-2.57] P<0.001), and lower pressure loss coefficient (OR, 0.33 for each decrease of 1 unit [95% CI, 0.14-0.77] P=0.01). The sensitivity, specificity, and area under the curve were 0.800, 0.752, and 0.826 (95% CI, 0.739-0.914) respectively. Conclusions- Younger age, presence of multiple aneurysms, location at a bifurcation, presence of a bleb, larger length, and lower pressure loss coefficient were identified as risk factors for rupture of small intracranial aneurysms. The risk model should be validated in further studies.

Entities:  

Keywords:  Japan; adult; hemodynamics; intracranial aneurysm; rupture

Year:  2019        PMID: 31813355     DOI: 10.1161/STROKEAHA.119.027664

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  7 in total

1.  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

2.  Nomogram-Based Risk Model of Small (≤5 mm) Intracranial Aneurysm Rupture in an Eastern Asian Study.

Authors:  Haiyan Lou; Kehui Nie; Jun Yang; Tiesong Zhang; Jincheng Wang; Weijian Fan; Chenjie Gu; Min Yan; Tao Chen; Tingting Zhang; Junxia Min; Renya Zhan; Jianwei Pan
Journal:  Front Aging Neurosci       Date:  2022-05-11       Impact factor: 5.702

3.  Identification of ruptured intracranial aneurysms using the aneurysm-specific prediction score in patients with multiple aneurysms with subarachnoid hemorrhages- a Chinese population based external validation study.

Authors:  Xue-Hua Zhang; Xiao-Yan Zhao; Lan-Lan Liu; Li Wen; Guang-Xian Wang
Journal:  BMC Neurol       Date:  2022-06-01       Impact factor: 2.903

4.  True Posterior Communicating Artery Aneurysms with High Risk of Rupture despite Very Small Diameter.

Authors:  Dong Gyu Shin; Jaechan Park; Myungsoo Kim; Byoung-Joon Kim; Im Hee Shin
Journal:  J Korean Neurosurg Soc       Date:  2022-02-25

5.  Development and External Validation of a Dynamic Nomogram With Potential for Risk Assessment of Ruptured Multiple Intracranial Aneurysms.

Authors:  TingTing Chen; WeiGen Xiong; ZhiHong Zhao; YaJie Shan; XueMei Li; LeHeng Guo; Lan Xiang; Dong Chu; HongWei Fan; YingBin Li; JianJun Zou
Journal:  Front Neurol       Date:  2022-02-08       Impact factor: 4.003

6.  An Automated Workflow for Hemodynamic Computations in Cerebral Aneurysms.

Authors:  Cosmin-Ioan Nita; Takashi Suzuki; Lucian Mihai Itu; Viorel Mihalef; Hiroyuki Takao; Yuichi Murayama; Puneet Sharma; Thomas Redel; Saikiran Rapaka
Journal:  Comput Math Methods Med       Date:  2020-06-17       Impact factor: 2.238

7.  Multi-View Convolutional Neural Networks in Rupture Risk Assessment of Small, Unruptured Intracranial Aneurysms.

Authors:  Jun Hyong Ahn; Heung Cheol Kim; Jong Kook Rhim; Jeong Jin Park; Dick Sigmund; Min Chan Park; Jae Hoon Jeong; Jin Pyeong Jeon
Journal:  J Pers Med       Date:  2021-03-24
  7 in total

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