Review
Chemistry, Multidisciplinary
Pasquale Marco Abbate, A. T. M. Hasibul Hasan, Alice Venier, Vincent Vauclin, Silvia Pizzuto, Alessandro Sgreccia, Federico Di Maria, Oguzhan Coskun, Katsuhiro Mizutani, Georges Rodesch, Arturo Consoli
Summary: Aneurysms are a focal or segmental disease of the arterial wall. Their formation and growth are influenced by genetic/environmental factors, altered structural and pathologic events, as well as interaction with the surrounding environment and luminal flow dynamics.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Yongsheng Liu, Guinan Jiang, Feng Wang, Xiangbo An
Summary: This study aimed to investigate the hemodynamic changes of distal arterial trees and factors contributing to hyperperfusion after large intracranial aneurysms obliteration. Results showed that pressure and flow velocity of distal arterial trees increased significantly after aneurysm obliteration, with the aneurysmal angle being a key factor in pressure increase.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Yeqing Jiang, Gang Lu, Liang Ge, Rong Zou, Gaohui Li, Hailin Wan, Xiaochang Leng, Jianping Xiang, Xiaolong Zhang
Summary: This study compared the hemodynamic changes resulting from various simulated stent-assisted embolization treatments for intracranial vertebral artery fusiform aneurysms. The results suggest that large coil post-stenting treatment may reduce the risk of recurrence for fusiform aneurysms.
FRONTIERS IN NEUROLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mingzhu Fu, Fei Peng, Hao Niu, Xiaoxin He, Shuo Chen, Miaoqi Zhang, Jiaxiang Xia, Yishi Wang, Boya Xu, Aihua Liu, Rui Li
Summary: This study investigated the association between inflow angle and morphology, hemodynamic, and inflammation of intracranial side-wall and bifurcation aneurysms. The results showed a significant correlation between inflow angle and aneurysm size, wall shear stress, and aneurysmal wall enhancement in side-wall aneurysms, while no significant associations were found in bifurcation aneurysms.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Clinical Neurology
Xiao Mo, Hongshi Yu, Rong Chen, Zhenpeng Chen, Haiyun Li
Summary: This study introduced a novel method for calculating the energy loss of intracranial aneurysms and revealed the temporal and spatial characteristics of energy loss through hemodynamic analysis of aneurysms located at the posterior communicating segment of the internal carotid artery. The results showed that energy loss mainly occurred in the boundary layer and high-velocity inflow jet region, reaching its peak during cardiac systole and gradually decreasing during diastole until the end of the cardiac cycle.
FRONTIERS IN NEUROLOGY
(2021)
Article
Mechanics
S. A. Hosseini, F. Huang, D. Thevenin
Summary: In this paper, a robust modified lattice Boltzmann model with independent control over relaxation of acoustic modes is proposed for studying blood flow in intracranial aneurysms. The use of a robust collision operator and implicit computation of non-linear stress allows for a wide range of operation in terms of time step and grid size. The model is validated through well-documented configurations and used to simulate pulsating flow in different viscosity conditions and patient-specific configurations.
Article
Clinical Neurology
S. Hadad, F. Mut, R. Kadirvel, Y. -h. Ding, D. Kallmes, J. R. Cebral
Summary: In this study, computational fluid dynamics models were used to predict the occlusion of aneurysms treated with flow-diverting devices in rabbits. The predictions reached 77% accuracy, 80% sensitivity, and 75% specificity, showing promising capability in prospectively identifying the outcomes of aneurysm treatment.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Geriatrics & Gerontology
Xinyu Liang, Fei Peng, Yunchu Yao, Yuting Yang, Aihua Liu, Duanduan Chen
Summary: This study investigated the pathophysiological mechanisms of intracranial fusiform aneurysms (IFAs) based on the characteristics of aneurysm wall enhancement (AWE), hemodynamics, and morphology. The results showed significant associations between AWE and aneurysm size as well as hemodynamic parameters. Further research is needed to understand the underlying pathological mechanisms of different types of fusiform aneurysms.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Clinical Neurology
Zhongbin Tian, Xifeng Li, Chao Wang, Xin Feng, Kaijian Sun, Yi Tu, Hengxian Su, Xinjian Yang, Chuanzhi Duan
Summary: This study compared the hemodynamic features of aneurysms in patients with different rupture risk. The results showed that low wall shear stress was significantly associated with higher risk of intracranial aneurysm rupture as determined by the PHASES score.
FRONTIERS IN NEUROLOGY
(2022)
Article
Biology
Palak Patel, Seyyed Mostafa Mousavi Janbeh Sarayi, Danyang Chen, Adam L. Hammond, Robert J. Damiano, Jason M. Davies, Jinhui Xu, Hui Meng
Summary: The study introduces a fast virtual coiling algorithm called P3, which accurately predicts and improves the treatment outcome of endovascular coiling of intracranial aneurysms by simulating patient-specific coil deployment.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Clinical Neurology
Qingyuan Liu, Yisen Zhang, Junhua Yang, Yi Yang, Maogui Li, Shanwen Chen, Pengjun Jiang, Nuochuan Wang, Yanan Zhang, Jia Liu, Jun Wu, Shuo Wang
Summary: The study focused on the important pathological characteristic of aneurysm wall remodeling (AWR) in intracranial aneurysms (IAs) and identified key factors related to AWR, inflammation levels, and atherosclerosis in IA tissues. Biomechanical stress and inflammation in aneurysm wall were found to be correlated, providing potential pathological evidence for IA development.
TRANSLATIONAL STROKE RESEARCH
(2022)
Article
Clinical Neurology
Qingyuan Liu, Xinyi Leng, Junhua Yang, Yi Yang, Pengjun Jiang, Maogui Li, Shaohua Mo, Shuzhe Yang, Jun Wu, Hongwei He, Shuo Wang
Summary: The study developed multidimensional predictive models for the stability of unruptured intracranial aneurysms and found that hemodynamic features are related to aneurysm stability. Nomograms incorporating clinical, morphological, and hemodynamic features had significantly higher predictive accuracies than conventional risk prediction scores.
JOURNAL OF NEUROSURGERY
(2021)
Article
Clinical Neurology
Haogeng Sun, Rui Tian, Zhiyuan Yu, Anqi Xiao, Chao You, Yi Liu
Summary: This study found that patients with MMD with IAs have different clinical and hemodynamic features compared to patients with MMD without IAs. CoW aneurysms and peripheral aneurysms may occur at different stages of MMD, leading to differences in anatomical location, type of hemorrhage, and treatment strategy.
WORLD NEUROSURGERY
(2021)
Article
Multidisciplinary Sciences
E. Hachem, P. Meliga, A. Goetz, P. Jeken Rico, J. Viquerat, A. Larcher, R. Valette, A. F. Sanches, V. Lannelongue, H. Ghraieb, R. Nemer, Y. Ozpeynirci, T. Liebig
Summary: This study aims to identify and characterize novel flow-deviator stent devices through a high-fidelity computational framework and deep reinforcement learning algorithms. The goal is to enable patient-specific treatment by accurately adjusting the functional parameters in the implanted state.
SCIENTIFIC REPORTS
(2023)
Article
Geosciences, Multidisciplinary
M. M. Bela, N. Kille, S. A. McKeen, J. Romero-Alvarez, R. Ahmadov, E. James, G. Pereira, C. Schmidt, R. B. Pierce, S. M. O'Neill, X. Zhang, S. Kondragunta, C. Wiedinmyer, R. Volkamer
Summary: This study conducted the first suborbital carbon monoxide mass flux measurements on the scale of large wildfires, showing that the destructive fires in northern California in October 2017 emitted around 2040 tons of CO per hour. The uncertainty in predicting emissions is reduced by the CU AirSOF flux measurements, which can potentially improve the accuracy of models used to predict smoke impacts on public health.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Clinical Neurology
J. Cebral, E. Ollikainen, B. J. Chung, F. Mut, V. Sippola, B. R. Jahromi, R. Tulamo, J. Hernesniemi, M. Niemela, A. Robertson, J. Frosen
AMERICAN JOURNAL OF NEURORADIOLOGY
(2017)
Article
Chemistry, Multidisciplinary
C. Salvador-Morales, Binal Brahmbhatt, V. Marquez-Miranda, I. Araya-Duran, J. Canan, F. Gonzalez-Nilo, C. Vilos, J. Cebral, F. Mut, R. Lohner, B. Leong, G. Sundaresan, J. Zweit
Article
Clinical Neurology
F. Mut, J. R. Cebral
AMERICAN JOURNAL OF NEURORADIOLOGY
(2012)
Article
Clinical Neurology
J. R. Cebral, F. Mut, M. Raschi, S. Hodis, Y. -H. Ding, B. J. Erickson, R. Kadirvel, D. F. Kallmes
AMERICAN JOURNAL OF NEURORADIOLOGY
(2014)
Article
Engineering, Biomedical
Marcelo Raschi, Fernando Mut, Greg Byrne, Christopher M. Putman, Satoshi Tateshima, Fernando Vinuela, Tetsuya Tanoue, Kazuo Tanishita, Juan R. Cebral
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2012)
Article
Engineering, Biomedical
M. Raschi, F. Mut, R. Loehner, J. R. Cebral
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2014)
Article
Computer Science, Interdisciplinary Applications
Andrew Corrigan, Fernando Camelli, Rainald Loehner, Fernando Mut
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
(2012)
Article
Clinical Neurology
S. Hadad, F. Mut, B. J. Chung, J. A. Roa, A. M. Robertson, D. M. Hasan, E. A. Samaniego, J. R. Cebral
Summary: The study found that regions of aneurysm wall enhancement tend to have lower wall shear stress than nonenhanced regions, and the association between flow conditions and aneurysm wall enhancement depends on the location of the region on the aneurysm sac.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Clinical Neurology
S. Hadad, F. Mut, R. Kadirvel, Y. -h. Ding, D. Kallmes, J. R. Cebral
Summary: In this study, computational fluid dynamics models were used to predict the occlusion of aneurysms treated with flow-diverting devices in rabbits. The predictions reached 77% accuracy, 80% sensitivity, and 75% specificity, showing promising capability in prospectively identifying the outcomes of aneurysm treatment.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2021)
Article
Clinical Neurology
S. F. Salimi Ashkezari, F. Mut, M. Slawski, C. M. Jimenez, A. M. Robertson, J. R. Cebral
Summary: This study developed predictive machine learning models to identify small, regularly shaped aneurysms prone to rupture. The models achieved good performance in predicting aneurysm rupture and identified adverse hemodynamic environments and aneurysm characteristics associated with rupture.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Clinical Neurology
J. R. Cebral, B. J. Chung, F. Mut, J. Chudyk, C. Bleise, E. Scrivano, P. Lylyk, R. Kadirvel, D. Kallmes
AMERICAN JOURNAL OF NEURORADIOLOGY
(2019)
Article
Clinical Neurology
R. Doddasomayajula, B. J. Chung, F. Mut, C. M. Jimenez, F. Hamzei-Sichani, C. M. Putman, J. R. Cebral
AMERICAN JOURNAL OF NEURORADIOLOGY
(2017)
Article
Clinical Neurology
B. J. Chung, R. Doddasomayajula, F. Mut, F. Detmer, M. B. Pritz, F. Hamzei-Sichani, W. Brinjikji, D. F. Kallmes, C. M. Jimenez, C. M. Putman, J. R. Cebral
AMERICAN JOURNAL OF NEURORADIOLOGY
(2017)
Article
Clinical Neurology
J. R. Cebral, F. Mut, B. J. Chung, L. Spelle, J. Moret, F. van Nijnatten, D. Ruijters
AMERICAN JOURNAL OF NEURORADIOLOGY
(2017)