Artificial intelligence in ischemic stroke images: current applications and future directions

Y Liu, Z Wen, Y Wang, Y Zhong, J Wang, Y Hu… - Frontiers in …, 2024‏ - frontiersin.org
This paper reviews the current research progress in the application of Artificial Intelligence
(AI) based on ischemic stroke imaging, analyzes the main challenges, and explores future …

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

JE Park, D Kim, HS Kim, SY Park, JY Kim, SJ Cho… - European …, 2020‏ - Springer
Objectives To evaluate radiomics studies according to radiomics quality score (RQS) and
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or …

Culprit intracranial plaque without substantial stenosis in acute ischemic stroke on vessel wall MRI: a systematic review

Y Wang, X Liu, X Wu, AJ Degnan, A Malhotra, C Zhu - Atherosclerosis, 2019‏ - Elsevier
Background and aims Intracranial atherosclerotic plaque is associated with ischemic strokes
without substantial stenosis, and needs better characterization. We aim to investigate the …

Radiomics versus visual and histogram-based assessment to identify atheromatous lesions at coronary CT angiography: an ex vivo study

M Kolossváry, J Karády, Y Kikuchi, A Ivanov, CL Schlett… - Radiology, 2019‏ - pubs.rsna.org
Background Visual and histogram-based assessments of coronary CT angiography have
limited accuracy in the identification of advanced lesions. Radiomics-based machine …

Identification of high-risk carotid plaque with MRI-based radiomics and machine learning

R Zhang, Q Zhang, A Ji, P Lv, J Zhang, C Fu, J Lin - European radiology, 2021‏ - Springer
Objectives We sought to build a high-risk plaque MRI-based model (HRPMM) using
radiomics features and machine learning for differentiating symptomatic from asymptomatic …

Quantitative histogram analysis on intracranial atherosclerotic plaques: a high-resolution magnetic resonance imaging study

Z Shi, J Li, M Zhao, W Peng, Z Meddings, T Jiang, Q Liu… - Stroke, 2020‏ - ahajournals.org
Background and Purpose: Intracranial atherosclerosis is one of the main causes of stroke,
and high-resolution magnetic resonance imaging provides useful imaging biomarkers …

Intracranial atherosclerotic plaque characteristics and burden associated with recurrent acute stroke: a 3D quantitative vessel wall MRI study

B Sun, L Wang, X Li, J Zhang, J Zhang, X Liu… - Frontiers in Aging …, 2021‏ - frontiersin.org
Background: Intracranial atherosclerotic disease (ICAD) tends to affect multiple arterial
segments, and previous studies rarely performed a comprehensive plaque analysis of the …

Progression of plaque burden of intracranial atherosclerotic plaque predicts recurrent stroke/transient ischemic attack: A pilot follow‐up study using higher‐resolution …

Z Shi, J Li, M Zhao, X Zhang, AJ Degnan… - Journal of Magnetic …, 2021‏ - Wiley Online Library
Background Patients with intracranial atherosclerotic disease (ICAD) have a high frequency
of stroke recurrence. However, there has been little investigation into the prognostic value of …

Characteristics and evaluation of atherosclerotic plaques: an overview of state-of-the-art techniques

Z He, J Luo, M Lv, Q Li, W Ke, X Niu, Z Zhang - Frontiers in Neurology, 2023‏ - frontiersin.org
Atherosclerosis is an important cause of cerebrovascular and cardiovascular disease (CVD).
Lipid infiltration, inflammation, and altered vascular stress are the critical mechanisms that …

Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types

Y Zhang, B Zhang, F Liang, S Liang, Y Zhang, P Yan… - European …, 2019‏ - Springer
Objective To investigate the classification ability of quantitative radiomics features extracted
on non-contrast-enhanced CT (NECT) image for discrimination of AVM-related hematomas …