A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques

SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …

[HTML][HTML] The markers and risk stratification model of intracranial aneurysm instability in a large Chinese cohort

Q Liu, K Li, H He, Z Miao, H Cui, J Wu, S Ding, Z Wen… - Science Bulletin, 2023 - Elsevier
Intracranial aneurysm is the leading cause of nontraumatic subarachnoid hemorrhage.
Evaluating the unstable (rupture and growth) risk of aneurysms is helpful to guild decision …

Machine learning classification of cerebral aneurysm rupture status with morphologic variables and hemodynamic parameters

S Tanioka, F Ishida, A Yamamoto, S Shimizu… - Radiology: Artificial …, 2020 - pubs.rsna.org
Purpose To construct a classification model of rupture status and to clarify the importance of
morphologic variables and hemodynamic parameters on rupture status by applying a …

[HTML][HTML] Advances in stroke 2017

J Bernhardt, RD Zorowitz, KJ Becker, E Keller… - Stroke, 2018 - journals.lww.com
For stroke rehabilitation and recovery, 2017 was a year of reviews and research advances.
Reviews included all aspects of poststroke rehabilitation and recovery. Cognitive …

Intracranial aneurysm cta images and 3d models dataset with clinical morphological and hemodynamic data

M Song, S Wang, Q Qian, Y Zhou, Y Luo, X Gong - Scientific data, 2024 - nature.com
Intracranial aneurysm is a cerebrovascular disease associated with a high rupture risk, often
resulting in death or severe disability. Recent advances in AI enable the prediction of …

Morphology-based radiomics signature: a novel determinant to identify multiple intracranial aneurysms rupture

X Tong, X Feng, F Peng, H Niu, B Zhang… - Aging (Albany …, 2021 - pmc.ncbi.nlm.nih.gov
We aimed to develop and validate a morphology-based radiomics signature nomogram for
assessing the risk of intracranial aneurysm (IA) rupture. A total of 254 aneurysms in 105 …

Morphologic variations in the circle of Willis as a risk factor for aneurysm rupture in the anterior and posterior communicating arteries

DZ Oberman, MSP Akly, NN Rabelo, C Elizondo… - World neurosurgery, 2021 - Elsevier
Background Intracranial aneurysms are acquired abnormal vascular dilations. The most
dangerous complication of a cerebral aneurysm is its rupture, with a high rate of mortality …

Difference in aneurysm characteristics between ruptured and unruptured aneurysms in patients with multiple intracranial aneurysms

P Bhogal, M Almatter, V Hellstern… - Surgical neurology …, 2018 - pmc.ncbi.nlm.nih.gov
Background: The risk of aneurysmal rupture is dependent upon numerous factors, however,
there are inconsistencies in the results between studies, which may be due to confounding …

Machine learning and intracranial aneurysms: from detection to outcome prediction

V Stumpo, VE Staartjes, G Esposito, C Serra… - Machine Learning in …, 2022 - Springer
Abstract Machine learning (ML) is a rapidly rising research tool in biomedical sciences
whose applications include segmentation, classification, disease detection, and outcome …

Reduced M2 macrophages and adventitia collagen dampen the structural integrity of blood blister–like aneurysms and induce preoperative rerupture

D Wen, R Chen, H Li, J Zheng, W Fu, Z Shi… - Cell …, 2022 - Wiley Online Library
Objective Blood blister–like aneurysms (BBAs) are extremely rare aneurysms. They are
predisposed to preoperative rerupture with a high case‐fatality rate. Here, we attempt to …