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Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer's disease and mild cognitive impairment

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机构： [1]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China [2]Ningbo Eye Hospital, Ningbo, Zhejiang, China [3]Department of Ophthalmology, The Affiliated People’s Hospital of Ningbo University, Ningbo, Zhejiang, China [4]Department of Eye and Vision Science, University of Liverpool, Liverpool, UK [5]Department of Computer Science, Edge Hill University, Ormskirk, UK [6]Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK [7]Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore [8]Intelligent Healthcare Unit, Baidu Inc, Beijing, Haidian, China [9]Department of Neurology, The Affiliated People’s Hospital of Ningbo University, Ningbo, Zhejiang, China [10]School of Computing, University of Leeds, Leeds, UK [11]Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China [12]Department of Ophthalmology, Wenzhou Medical University, Wenzhou, Zhejiang, China [13]Ophthalmology, Peking University Third Hospital, Haidian, Beijing, China

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Optical coherence tomography angiography (OCTA) enables fast and non-invasive high-resolution imaging of retinal microvasculature and is suggested as a potential tool in the early detection of retinal microvascular changes in Alzheimer's Disease (AD). We developed a standardised OCTA analysis framework and compared their extracted parameters among controls and AD/mild cognitive impairment (MCI) in a cross-section study.We defined and extracted geometrical parameters of retinal microvasculature at different retinal layers and in the foveal avascular zone (FAZ) from segmented OCTA images obtained using well-validated state-of-the-art deep learning models. We studied these parameters in 158 subjects (62 healthy control, 55 AD and 41 MCI) using logistic regression to determine their potential in predicting the status of our subjects.In the AD group, there was a significant decrease in vessel area and length densities in the inner vascular complexes (IVC) compared with controls. The number of vascular bifurcations in AD is also significantly lower than that of healthy people. The MCI group demonstrated a decrease in vascular area, length densities, vascular fractal dimension and the number of bifurcations in both the superficial vascular complexes (SVC) and the IVC compared with controls. A larger vascular tortuosity in the IVC, and a larger roundness of FAZ in the SVC, can also be observed in MCI compared with controls.Our study demonstrates the applicability of OCTA for the diagnosis of AD and MCI, and provides a standard tool for future clinical service and research. Biomarkers from retinal OCTA images can provide useful information for clinical decision-making and diagnosis of AD and MCI.© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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出版当年[2022]版：

大类 | 2 区

医学

小类 | 1 区眼科学

最新[2023]版：

大类 | 2 区

医学

小类 | 2 区眼科学

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第一作者机构： [1]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China

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通讯机构： [1]Cixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China [*1]Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences, Ningbo, Zhejiang, 315201 P.R, China

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