Literature DB >> 32057617

Magnetic Resonance Texture Analysis in Alzheimer's disease.

Jia-Hui Cai1, Yuan He1, Xiao-Lin Zhong2, Hao Lei1, Fang Wang1, Guang-Hua Luo1, Heng Zhao3, Jin-Cai Liu4.   

Abstract

Texture analysis is an emerging field that allows mathematical detection of changes in MRI signals that are not visible among image pixels. Alzheimer's disease, a progressive neurodegenerative disease, is the most common cause of dementia. Recently, multiple texture analysis studies in patients with Alzheimer's disease have been performed. This review summarizes the main contributors to Alzheimer's disease-associated cognitive decline, presents a brief overview of texture analysis, followed by review of various MR imaging texture analysis applications in Alzheimer's disease. We also discuss the current challenges for widespread clinical utilization. MR texture analysis could potentially be applied to develop neuroimaging biomarkers for use in Alzheimer's disease clinical trials and diagnosis.
Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Machine learning; Magnetic Resonance Imaging; Texture Analysis

Year:  2020        PMID: 32057617     DOI: 10.1016/j.acra.2020.01.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  6 in total

1.  Fluid-attenuated inversion recovery magnetic resonance imaging textural features as sensitive markers of white matter damage in midlife adults.

Authors:  Maria-Eleni Dounavi; Audrey Low; Graciela Muniz-Terrera; Karen Ritchie; Craig W Ritchie; Li Su; Hugh S Markus; John T O'Brien
Journal:  Brain Commun       Date:  2022-05-05

2.  Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward.

Authors:  So Yeon Won; Yae Won Park; Mina Park; Sung Soo Ahn; Jinna Kim; Seung Koo Lee
Journal:  Korean J Radiol       Date:  2020-10-30       Impact factor: 3.500

3.  Anatomical texture patterns identify cerebellar distinctions between essential tremor and Parkinson's disease.

Authors:  Kilian Hett; Ilwoo Lyu; Paula Trujillo; Alexander M Lopez; Megan Aumann; Kathleen E Larson; Peter Hedera; Benoit Dawant; Bennett A Landman; Daniel O Claassen; Ipek Oguz
Journal:  Hum Brain Mapp       Date:  2021-03-23       Impact factor: 5.038

4.  The Value of Intravoxel Incoherent Motion Diffusion-Weighted Magnetic Resonance Imaging Combined With Texture Analysis of Evaluating the Extramural Vascular Invasion in Rectal Adenocarcinoma.

Authors:  Fei Gao; Bin Shi; Peipei Wang; Chuanbin Wang; Xin Fang; Jiangning Dong; Tingting Lin
Journal:  Front Oncol       Date:  2022-03-03       Impact factor: 6.244

5.  Radiomic Features of the Hippocampus for Diagnosing Early-Onset and Late-Onset Alzheimer's Disease.

Authors:  Yang Du; Shaowei Zhang; Yuan Fang; Qi Qiu; Lu Zhao; Wenjing Wei; Yingying Tang; Xia Li
Journal:  Front Aging Neurosci       Date:  2022-01-26       Impact factor: 5.750

6.  Detection of Microstructural Medial Prefrontal Cortex Changes Using Magnetic Resonance Imaging Texture Analysis in a Post-Traumatic Stress Disorder Rat Model.

Authors:  Shilei Zheng; Han Wang; Fang Han; Jianyi Chu; Fan Zhang; Xianglin Zhang; Yuxiu Shi; Lili Zhang
Journal:  Front Psychiatry       Date:  2022-04-21       Impact factor: 4.157

  6 in total

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