Cargando…

Predicting the Severity of Neurological Impairment Caused by Ischemic Stroke Using Deep Learning Based on Diffusion-Weighted Images

Purpose: To develop a preliminary deep learning model that uses diffusion-weighted imaging (DWI) images to classify the severity of neurological impairment caused by ischemic stroke. Materials and Methods: This retrospective study included 851 ischemic stroke patients (711 patients in the training s...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zeng, Ying, Long, Chen, Zhao, Wei, Liu, Jun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325315/ https://www.ncbi.nlm.nih.gov/pubmed/35887776 http://dx.doi.org/10.3390/jcm11144008

Ejemplares similares

Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients
por: Jeong, Soo, et al.
Publicado: (2022)

Diffusion-weighted imaging as predictor of acute ischemic stroke etiology
por: Brunser, Alejandro Michel, et al.
Publicado: (2022)

Predicting final ischemic stroke lesions from initial diffusion-weighted images using a deep neural network
por: Nazari-Farsani, Sanaz, et al.
Publicado: (2022)

Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke
por: Liu, Chin-Fu, et al.
Publicado: (2021)

Deep Learning-Based Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Ischemic Penumbra in Early Cerebral Infarction
por: Sheng, Hui, et al.
Publicado: (2022)

Association of cerebral microvascular perfusion and diffusion dynamics detected by intravoxel incoherent motion-diffusion weighted imaging with initial neurological function and clinical outcome in acute ischemic stroke
por: Chen, Fei, et al.
Publicado: (2021)

Discrepancy between perfusion- and diffusion-weighted images in ischemic stroke: A case report
por: Hur, Wook, et al.
Publicado: (2018)

Diffusion-weighted imaging-based radiomics for predicting 1-year ischemic stroke recurrence
por: Wang, Hao, et al.
Publicado: (2022)

Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study
por: Alis, Deniz, et al.
Publicado: (2021)

Diffusion-weighted imaging–fluid-attenuated inversion recovery mismatch is associated with better neurologic response to intravenous thrombolytic therapy in acute ischemic stroke patients
por: Jeong, Jong Yeong, et al.
Publicado: (2015)

The Correlation between Severity of Neurological Impairment and Left Ventricular Function in Patients after Acute Ischemic Stroke
por: Sung, Pei-Hsun, et al.
Publicado: (2019)

Dual antiplatelet therapy reduced stroke risk in transient ischemic attack with positive diffusion weighted imaging
por: Pei, Lu-lu, et al.
Publicado: (2020)

Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
por: Cui, Liyuan, et al.
Publicado: (2022)

Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net
por: Zhu, Hai‐Tao, et al.
Publicado: (2021)

Indirect Volume Estimation for Acute Ischemic Stroke from Diffusion Weighted Image Using Slice Image Segmentation
por: Lee, Seung-Ah, et al.
Publicado: (2022)

Diffusion-Weighted Imaging and Diagnosis of Transient Ischemic Attack
por: Brazzelli, Miriam, et al.
Publicado: (2014)

Perfusion deficits in thrombolysis-treated acute ischemic stroke patients with negative or positive diffusion-weighted imaging
por: Zhu, Cuiting, et al.
Publicado: (2023)

Case Report of False-Negative Diffusion-Weighted Image of Brain Magnetic Resonance Imaging (MRI) in Acute Ischemic Stroke
por: Chang, Wei-Lun, et al.
Publicado: (2017)

Studies on the time course of apparent diffusion coefficient and signal intensities on T2- and diffusion-weighted MR Imaging in acute cerebral ischemic stroke
por: Srivastava, Ajai K., et al.
Publicado: (2008)

Role of Perfusion-Weighted Imaging in a Diffusion-Weighted-Imaging-Negative Transient Ischemic Attack
por: Lee, Sang Hun, et al.
Publicado: (2017)

Sensitivity of Diffusion-Weighted STEAM MRI and EPI-DWI to Infratentorial Ischemic Stroke
por: Khalil, Ahmed A., et al.
Publicado: (2016)

Hyperacute ischemic stroke without lesions on diffusion-weighted imaging in a patient treated with rtPA thrombolysis
por: Jing, Zhen, et al.
Publicado: (2014)

Significance of Multiple Acute Ischemic Lesions on Initial Diffusion-weighted Imaging in Stroke Patients and Relation of Toast Classification
por: Sener, Ufuk, et al.
Publicado: (2018)

Effects of predictive nursing intervention on cognitive impairment and neurological function in ischemic stroke patients
por: Xue, Lianyu, et al.
Publicado: (2023)

Comparison of diffusion weighted imaging b0 with T2*-weighted gradient echo or susceptibility weighted imaging for intracranial hemorrhage detection after reperfusion therapy for ischemic stroke
por: Luijten, Sven P. R., et al.
Publicado: (2023)

Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke
por: Mittmann, Benjamin J., et al.
Publicado: (2022)

Trial of ORG 10172 in Acute Stroke Treatment (TOAST) Classification and Vascular Territory of Ischemic Stroke Lesions Diagnosed by Diffusion‐Weighted Imaging
por: Chung, Jong‐Won, et al.
Publicado: (2014)

Diffusion kurtosis imaging and diffusion weighted imaging comparison in diagnosis of early hypoxic–ischemic brain edema
por: Han, Yuxuan, et al.
Publicado: (2023)

Clinical Evaluations of the Ischemic Core in Acute Ischemic Stroke Using Modified Diffusion-Weighted Imaging-Alberta Stroke Program Early Computed Tomography Scores by Ischemic Reversibility Using the Signal Intensity
por: Izawa, Daisuke, et al.
Publicado: (2021)

The role of blood lnc‐ZFAS1 in acute ischemic stroke: correlation with neurological impairment, inflammation, and survival profiles
por: Wang, Gang, et al.
Publicado: (2021)

Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning–based Denoising Image Filters
por: Zormpas-Petridis, Konstantinos, et al.
Publicado: (2021)

Acute Infarct Segmentation on Diffusion-Weighted Imaging Using Deep Learning Algorithm and RAPID MRI
por: Ryu, Wi-Sun, et al.
Publicado: (2023)

Susceptibility-weighted Imaging in Thrombolytic Therapy of Acute Ischemic Stroke
por: Li, Lin, et al.
Publicado: (2017)

Clinical feasibility of diffusion microstructure imaging (DMI) in acute ischemic stroke
por: Kellner, E., et al.
Publicado: (2022)

Predictors of Neurological and Functional Recovery in Patients with Moderate to Severe Ischemic Stroke: The EPICA Study
por: Murie-Fernández, Manuel, et al.
Publicado: (2020)

Predicting Ischemic Stroke Outcome Using Deep Learning Approaches
por: Fang, Gang, et al.
Publicado: (2022)

Mapping the ischemic penumbra and predicting stroke progression in acute ischemic stroke: the overlooked role of susceptibility weighted imaging
por: Darwish, Eman A. F., et al.
Publicado: (2020)

Deep learning in macroscopic diffuse optical imaging
por: Smith, Jason T., et al.
Publicado: (2022)

Diffusion-Weighted Imaging-Alone Endovascular Thrombectomy Triage in Acute Stroke: Simulating Diffusion-Perfusion Mismatch Using Machine Learning
por: Kim, Yoon-Chul, et al.
Publicado: (2022)

Can Early Ischemic Lesion Recurrence on Diffusion-Weighted MRI Affect Functional Outcome after Acute Ischemic Stroke?
por: Kim, Wook-Joo, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_77tqv9ebr90bmjmiei0266ihr8