Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study

Our findings demonstrated alterations in the white matter fiber tracts at the point-wise level in patients with DR using AFQ analysis. These alterations may be associated with cognitive impairment in DR. The AFQ technique can accurately detect the damage to the integrity of the brain white matter fiber tracts in patients with DR, and have high clinical application value in the diagnosis and evaluation of DR, which can deepen our understanding of brain white matter microstructural abnormalities in patients with DR.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-04-12
DOI
https://doi.org/10.21037/qims-24-1440
Primary Topic
Retinal Imaging and Analysis
Type
article
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article

Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study

Zhongru Sun, Mengqing Zhu, Jianguo Xia, Liang He et al.
1 links
Quantitative Imaging in Medicine and Surgery
Retinal Imaging and Analysis
article

Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study

Zhongru Sun, Mengqing Zhu, Jianguo Xia, Liang He, Hongxia Zhang, Jinhua Chen, Weizhong Tian, Tianye Xu, Yan-Hong Feng
article en

Abstract

Our findings demonstrated alterations in the white matter fiber tracts at the point-wise level in patients with DR using AFQ analysis. These alterations may be associated with cognitive impairment in DR. The AFQ technique can accurately detect the damage to the integrity of the brain white matter fiber tracts in patients with DR, and have high clinical application value in the diagnosis and evaluation of DR, which can deepen our understanding of brain white matter microstructural abnormalities in patients with DR.

Quantitative Imaging in Medicine and SurgeryVol. 15(5)
Dalian Medical University (CN)
Zero hunger
Openalex Percentile: Top 89%
Retinal Imaging and Analysis
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