Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis
Background: Although pericallosal artery aneurysms (PAAs) are relatively uncommon, accounting for only 1–9% of all intracranial aneurysms (IAs), they exhibit a considerably high propensity to rupture. Nevertheless, our current knowledge of the risk factors for PAA rupture is still very limited. To f...
Guardado en:
Autores principales: | , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/969c353c0f6f4f3b9d209fd081b8c097 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:969c353c0f6f4f3b9d209fd081b8c097 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:969c353c0f6f4f3b9d209fd081b8c0972021-11-18T05:15:32ZRisk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis1662-453X10.3389/fnins.2021.759806https://doaj.org/article/969c353c0f6f4f3b9d209fd081b8c0972021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.759806/fullhttps://doaj.org/toc/1662-453XBackground: Although pericallosal artery aneurysms (PAAs) are relatively uncommon, accounting for only 1–9% of all intracranial aneurysms (IAs), they exhibit a considerably high propensity to rupture. Nevertheless, our current knowledge of the risk factors for PAA rupture is still very limited. To fill this gap, we investigated rupture risk factors for PAAs based on morphological computer-assisted semiautomated measurement (CASAM) and hemodynamic analysis.Methods: Patients with PAAs were selected from the IA database in our institute and their baseline data were collected. Morphological parameters were measured in all enrolled patients by applying CASAM. Computational fluid dynamics simulation (CFD) was performed to evaluate the hemodynamic difference between ruptured and unruptured PAAs.Results: From June 2017 to June 2020, among 2141 patients with IAs in our institute, 47 had PAAs (2.2%). Thirty-one patients (mean age 57.65 ± 9.97 years) with 32 PAAs (20 unruptured and 12 ruptured) were included in the final analysis. Comparing with unruptured PAAs, ruptured PAAs had significantly higher aspect ratio (AR), mean normalized wall shear stress (NWSS), and mean oscillatory shear index (OSI) values than the unruptured PAAs (all P < 0.05) in univariate analyses. Multivariable analysis showed that a high mean OSI was an independent risk factor for PAA rupture (OR = 6.45, 95% CI 1.37–30.32, P = 0.018).Conclusion: This preliminary study indicates that there are morphological and hemodynamic differences between ruptured and unruptured PAAs. In particular, a high mean OSI is an independent risk factor for PAA rupture. Further research with a larger sample size is warranted in the future.Xiaodong ZhaiXiaodong ZhaiJiewen GengJiewen GengChengcheng ZhuJiaxing YuJiaxing YuChuanjie LiChuanjie LiChuanjie LiNan JiangNan JiangSishi XiangSishi XiangGang FangPeng HuPeng HuHongqi ZhangHongqi ZhangFrontiers Media S.A.articleintracranial aneurysmpericallosal artery aneurysmrisk of rupturemorphology parametershemodynamic analysisNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
intracranial aneurysm pericallosal artery aneurysm risk of rupture morphology parameters hemodynamic analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
spellingShingle |
intracranial aneurysm pericallosal artery aneurysm risk of rupture morphology parameters hemodynamic analysis Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Xiaodong Zhai Xiaodong Zhai Jiewen Geng Jiewen Geng Chengcheng Zhu Jiaxing Yu Jiaxing Yu Chuanjie Li Chuanjie Li Chuanjie Li Nan Jiang Nan Jiang Sishi Xiang Sishi Xiang Gang Fang Peng Hu Peng Hu Hongqi Zhang Hongqi Zhang Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
description |
Background: Although pericallosal artery aneurysms (PAAs) are relatively uncommon, accounting for only 1–9% of all intracranial aneurysms (IAs), they exhibit a considerably high propensity to rupture. Nevertheless, our current knowledge of the risk factors for PAA rupture is still very limited. To fill this gap, we investigated rupture risk factors for PAAs based on morphological computer-assisted semiautomated measurement (CASAM) and hemodynamic analysis.Methods: Patients with PAAs were selected from the IA database in our institute and their baseline data were collected. Morphological parameters were measured in all enrolled patients by applying CASAM. Computational fluid dynamics simulation (CFD) was performed to evaluate the hemodynamic difference between ruptured and unruptured PAAs.Results: From June 2017 to June 2020, among 2141 patients with IAs in our institute, 47 had PAAs (2.2%). Thirty-one patients (mean age 57.65 ± 9.97 years) with 32 PAAs (20 unruptured and 12 ruptured) were included in the final analysis. Comparing with unruptured PAAs, ruptured PAAs had significantly higher aspect ratio (AR), mean normalized wall shear stress (NWSS), and mean oscillatory shear index (OSI) values than the unruptured PAAs (all P < 0.05) in univariate analyses. Multivariable analysis showed that a high mean OSI was an independent risk factor for PAA rupture (OR = 6.45, 95% CI 1.37–30.32, P = 0.018).Conclusion: This preliminary study indicates that there are morphological and hemodynamic differences between ruptured and unruptured PAAs. In particular, a high mean OSI is an independent risk factor for PAA rupture. Further research with a larger sample size is warranted in the future. |
format |
article |
author |
Xiaodong Zhai Xiaodong Zhai Jiewen Geng Jiewen Geng Chengcheng Zhu Jiaxing Yu Jiaxing Yu Chuanjie Li Chuanjie Li Chuanjie Li Nan Jiang Nan Jiang Sishi Xiang Sishi Xiang Gang Fang Peng Hu Peng Hu Hongqi Zhang Hongqi Zhang |
author_facet |
Xiaodong Zhai Xiaodong Zhai Jiewen Geng Jiewen Geng Chengcheng Zhu Jiaxing Yu Jiaxing Yu Chuanjie Li Chuanjie Li Chuanjie Li Nan Jiang Nan Jiang Sishi Xiang Sishi Xiang Gang Fang Peng Hu Peng Hu Hongqi Zhang Hongqi Zhang |
author_sort |
Xiaodong Zhai |
title |
Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
title_short |
Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
title_full |
Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
title_fullStr |
Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
title_full_unstemmed |
Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis |
title_sort |
risk factors for pericallosal artery aneurysm rupture based on morphological computer-assisted semiautomated measurement and hemodynamic analysis |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/969c353c0f6f4f3b9d209fd081b8c097 |
work_keys_str_mv |
AT xiaodongzhai riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT xiaodongzhai riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT jiewengeng riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT jiewengeng riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT chengchengzhu riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT jiaxingyu riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT jiaxingyu riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT chuanjieli riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT chuanjieli riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT chuanjieli riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT nanjiang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT nanjiang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT sishixiang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT sishixiang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT gangfang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT penghu riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT penghu riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT hongqizhang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis AT hongqizhang riskfactorsforpericallosalarteryaneurysmrupturebasedonmorphologicalcomputerassistedsemiautomatedmeasurementandhemodynamicanalysis |
_version_ |
1718424928697450496 |