Literature DB >> 28327974

Intracranial Aneurysm Parameters for Predicting a Future Subarachnoid Hemorrhage: A Long-Term Follow-up Study.

Seppo Juvela1, Miikka Korja1,2.   

Abstract

BACKGROUND: Retrospective studies have suggested that aneurysm morphology is a risk factor for subarachnoid hemorrhage (SAH).
OBJECTIVE: To investigate whether various morphological indices of unruptured intracranial aneurysms (UIAs) predict a future rupture.
METHODS: A total of 142 patients with UIAs diagnosed between 1956 and 1978 were followed prospectively until SAH, death, or the last contact. Morphological UIA indices from standard angiographic projections were measured at baseline and adjusted in multivariable Cox proportional hazards regression analyses for established risk factors for SAH.
RESULTS: During a follow-up of 3064 person-years, 34 patients suffered from an aneurysm rupture. In multivariable analyses, aneurysm volume, volume-to-ostium area ratio, and the bottleneck factor separately as continuous variables predicted aneurysm rupture. All the morphological indices were higher ( P < .01) after the rupture than before. In final multivariable analyses, current smoking (adjusted hazard ratio 2.50, 95% CI 1.03-6.10, P = .044), location in the anterior communicating artery (4.28, 1.38-13.28, P = .012), age (inversely; 0.95 per year, 0.91-1.00, P = .043), and UIA diameter ≥7 mm at baseline (2.68, 1.16-6.21, P = .021) were independent risk factors for a future rupture. Aneurysm growth during the follow-up was associated with smoking ( P < .05) and SAH ( P < .001), but not with the aneurysm indices.
CONCLUSION: Of the morphological indices, UIA volume seems to predict a future rupture. However, as volume correlates with the maximum diameter of the aneurysm, it seems to add little to the predictive value of the maximum diameter. Retrospective studies using indices that are measured after rupture are of little value in risk prediction.
Copyright © 2016 by the Congress of Neurological Surgeons

Entities:  

Keywords:  Cigarette smoking; Intracranial aneurysm; Morphology; Natural history; Risk factors; Subarachnoid hemorrhage

Mesh:

Year:  2017        PMID: 28327974     DOI: 10.1093/neuros/nyw049

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


  11 in total

1.  Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA.

Authors:  B Sohn; K-Y Park; J Choi; J H Koo; K Han; B Joo; S Y Won; J Cha; H S Choi; S-K Lee
Journal:  AJNR Am J Neuroradiol       Date:  2021-08-12       Impact factor: 4.966

Review 2.  Unruptured cerebral aneurysm risk stratification: Background, current research, and future directions in aneurysm assessment.

Authors:  Michael A Silva; Stephanie Chen; Robert M Starke
Journal:  Surg Neurol Int       Date:  2022-04-29

3.  Calcification in Human Intracranial Aneurysms Is Highly Prevalent and Displays Both Atherosclerotic and Nonatherosclerotic Types.

Authors:  Piyusha S Gade; Riikka Tulamo; Kee-Won Lee; Fernando Mut; Eliisa Ollikainen; Chih-Yuan Chuang; Bong Jae Chung; Mika Niemelä; Behnam Rezai Jahromi; Khaled Aziz; Alexander Yu; Fady T Charbel; Sepideh Amin-Hanjani; Juhana Frösen; Juan R Cebral; Anne M Robertson
Journal:  Arterioscler Thromb Vasc Biol       Date:  2019-08-29       Impact factor: 8.311

4.  The Morphological and Hemodynamic Characteristics of the Intraoperative Ruptured Aneurysm.

Authors:  Qingyuan Liu; Pengjun Jiang; Jun Wu; Bin Gao; Shuo Wang
Journal:  Front Neurosci       Date:  2019-03-26       Impact factor: 4.677

5.  Shape Trumps Size: Image-Based Morphological Analysis Reveals That the 3D Shape Discriminates Intracranial Aneurysm Disease Status Better Than Aneurysm Size.

Authors:  Norman Juchler; Sabine Schilling; Philippe Bijlenga; Vartan Kurtcuoglu; Sven Hirsch
Journal:  Front Neurol       Date:  2022-05-03       Impact factor: 4.003

6.  DSA Image Analysis of Clinical Features and Nursing Care of Cerebral Aneurysm Patients Based on the Deep Learning Algorithm.

Authors:  Jian Wang; Lin Ti; Xiaorui Sun; Ruping Yang; Nafei Zhang; Kejuan Sun
Journal:  Scanning       Date:  2022-08-13       Impact factor: 1.750

7.  Definition and Prioritization of Data Elements for Cohort Studies and Clinical Trials on Patients with Unruptured Intracranial Aneurysms: Proposal of a Multidisciplinary Research Group.

Authors:  Gabriel Rinkel; Nima Etminan; Katharina A M Hackenberg; Ale Algra; Rustam Al-Shahi Salman; Juhana Frösen; David Hasan; Seppo Juvela; David Langer; Philip Meyers; Akio Morita
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

8.  LncRNA SAMMSON Overexpression Suppresses Vascular Smooth Muscle Cell Proliferation via Inhibiting miR-130a Maturation to Participate in Intracranial Aneurysm.

Authors:  Wen Pan; Yuan Gao; Weifeng Wan; Wenfeng Xiao; Chao You
Journal:  Neuropsychiatr Dis Treat       Date:  2021-06-04       Impact factor: 2.570

9.  Number of Cigarettes Smoked Per Day, Smoking Index, and Intracranial Aneurysm Rupture: A Case-Control Study.

Authors:  Xin Feng; Zenghui Qian; Baorui Zhang; Erkang Guo; Luyao Wang; Peng Liu; Xiaolong Wen; Wenjuan Xu; Chuhan Jiang; Youxiang Li; Zhongxue Wu; Aihua Liu
Journal:  Front Neurol       Date:  2018-05-31       Impact factor: 4.003

Review 10.  Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm.

Authors:  Xiaodan Chen; Yun Liu; Huazhang Tong; Yonghai Dong; Dongyang Ma; Lei Xu; Cheng Yang
Journal:  Medicine (Baltimore)       Date:  2018-05       Impact factor: 1.889

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