Functional outcome prediction in acute ischemic stroke using a fused imaging and clinical deep learning model

Y Liu, Y Yu, J Ouyang, B Jiang, G Yang, S Ostmeier… - Stroke, 2023 - ahajournals.org
BACKGROUND: Predicting long-term clinical outcome based on the early acute ischemic
stroke information is valuable for prognostication, resource management, clinical trials, and …

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

F Liu, Y Yao, B Zhu, Y Yu, R Ren, Y Hu - Frontiers in Medicine, 2024 - frontiersin.org
Cerebrovascular diseases, including ischemic strokes, hemorrhagic strokes, and vascular
malformations, are major causes of morbidity and mortality worldwide. The advancements in …

A Minimalist Iron Oxide Nanoprobe for the High‐Resolution Depiction of Stroke by Susceptibility‐Weighted Imaging

B Han, Y Zhao, L Ma, L Chen, W Hou, B Li, J Wang… - Small, 2024 - Wiley Online Library
The precise map** of collateral circulation and ischemic penumbra is crucial for
diagnosing and treating acute ischemic stroke (AIS). Unfortunately, there exists a significant …

Deep learning parametric response map** from inspiratory chest CT scans: a new approach for small airway disease screening

B Chen, Z Liu, J Lu, Z Li, K Kuang, J Yang, Z Wang… - Respiratory …, 2023 - Springer
Objectives Parametric response map** (PRM) enables the evaluation of small airway
disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT …

[HTML][HTML] Non-contrasted CT radiomics for SAH prognosis prediction

D Shan, J Wang, P Qi, J Lu, D Wang - Bioengineering, 2023 - mdpi.com
Subarachnoid hemorrhage (SAH) denotes a serious type of hemorrhagic stroke that often
leads to a poor prognosis and poses a significant socioeconomic burden. Timely …

[PDF][PDF] Assessment Precision of CT Perfusion Imaging in the Detection of Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

F Mubarak, H Fatima, MS Mustafa, MA Shafique… - Cureus, 2023 - cureus.com
Stroke, a prevalent medical emergency, comprises ischemic and hemorrhagic subtypes,
with acute ischemic stroke (AIS) being a predominant type. The application of computed …

The diagnostic value of conventional MRI combined with diffusion‐weighted imaging in microprolactinomas

MY Wang, Y Yu, Y Han, Y Yang, W Jiang… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Turbo spin‐echo (TSE) diffusion‐weighted imaging (DWI) sequences may
reduce susceptibility artifacts and image distortion in sellar region, allowing better …

[HTML][HTML] Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis

M Wu, K Yu, Z Zhao, B Zhu - Heliyon, 2024 - cell.com
Objective Machine learning (ML) models have been widely applied in stroke prediction,
diagnosis, treatment, and prognosis assessment. We aimed to conduct a comprehensive …

Quantitative evaluation of oxygen extraction fraction changes in the Monkey Brain during Acute Stroke by using quantitative susceptibility map**

Y Meng, CX Li, X Zhang - Life, 2023 - mdpi.com
Background: The oxygen extraction fraction (OEF) indicates the brain's oxygen consumption
and can be estimated by using the quantitative susceptibility map** (QSM) MRI technique …

[HTML][HTML] Quantitative imaging outperforms No-reflow in predicting functional outcomes in a translational stroke model

J Debatisse, L Chalet, OF Eker, TH Cho, G Becker… - …, 2025 - Elsevier
Microvascular dysfunction and no-reflow are considered a major cause of secondary
damage despite revascularization in acute ischemic stroke (AIS), ultimately affecting patient …