A Systematic Review on Retinal Biomarkers to Diagnose Dementia from OCT/OCTA Images

被引:7
|
作者
Ibrahim, Yehia [1 ]
Xie, Jianyang [1 ]
Macerollo, Antonella [2 ,3 ]
Sardone, Rodolfo [1 ,4 ]
Shen, Yaochun [5 ]
Romano, Vito [1 ,6 ]
Zheng, Yalin [1 ,7 ,8 ]
机构
[1] Univ Liverpool, Dept Eye & Vis Sci, Liverpool, Merseyside, England
[2] Univ Liverpool, Inst Syst Mol & Integrat Biol, Dept Pharmacol & Therapeut, Liverpool, Merseyside, England
[3] Walton Ctr NHS Fdn Trust, Dept Neurol, Liverpool, Merseyside, England
[4] Local Healthcare Author Taranto, Stat & Epidemiol Unit, Taranto, Italy
[5] Univ Liverpool, Dept Elect Engn & Elect, Liverpool, Merseyside, England
[6] Univ Brescia, Dept Med & Surg Specialties, Radiol Sci & Publ Hlth, Brescia, Italy
[7] Univ Liverpool, Liverpool Ctr Cardiovasc Sci, Liverpool, Merseyside, England
[8] Liverpool Heart & Chest Hosp, Liverpool, Merseyside, England
基金
英国工程与自然科学研究理事会;
关键词
Alzheimer's disease; dementia; mild cognitive impairment; neurodegenerative disorders; optical coherence tomography; optical coherence tomography angiography; retinal biomarkers; OPTICAL COHERENCE TOMOGRAPHY; FIBER LAYER THICKNESS; MILD COGNITIVE IMPAIRMENT; ALZHEIMERS-DISEASE; SEGMENTATION; ATTENUATION; OCT;
D O I
10.3233/ADR-230042
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Traditional methods for diagnosing dementia are costly, time-consuming, and somewhat invasive. Since the retina shares significant anatomical similarities with the brain, retinal abnormalities detected via optical coherence tomography (OCT) and OCT angiography (OCTA) have been studied as a potential non-invasive diagnostic tool for neurodegenerative disorders; however, the most effective retinal changes remain a mystery to be unraveled in this review. Objective: This study aims to explore the relationship between retinal abnormalities in OCT/OCTA images and cognitive decline as well as evaluating biomarkers' effectiveness in detecting neurodegenerative diseases. Methods: A systematic search was conducted on PubMed, Web of Science, and Scopus until December 2022, resulted in 64 papers using agreed search keywords, and inclusion/exclusion criteria. Results: The superior peripapillary retinal nerve fiber layer (pRNFL) is a trustworthy biomarker to identify most Alzheimer's disease (AD) cases; however, it is inefficient when dealing with mild AD and mild cognitive impairment (MCI). The global pRNFL (pRNFL-G) is another reliable biomarker to discriminate frontotemporal dementia from mildADand healthy controls (HCs), moderate AD and MCI from HCs, as well as identifing pathological A beta(42)/tau in cognitively healthy individuals. Conversely, pRNFL-G fails to realize mild AD and the progression of AD. The average pRNFL thickness variation is considered a viable biomarker to monitor the progression of AD. Finally, the superior and average pRNFL thicknesses are considered consistent for advanced AD but not for early/mild AD. Conclusions: Retinal changes may indicate dementia, but further research is needed to confirm the most effective biomarkers for early and mild AD.
引用
收藏
页码:1201 / 1235
页数:35
相关论文
共 50 条
  • [41] Multi-scale local-global transformer with contrastive learning for biomarkers segmentation in retinal OCT images
    Liu, Xiaoming
    Ding, Yuanzhe
    Zhang, Ying
    Tang, Jinshan
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2024, 44 (01) : 231 - 246
  • [42] Prognostic Features of Preoperative OCT in Retinal Detachments: A Systematic Review and Meta-analysis
    Murtaza, Fahmeeda
    Goud, Rachel
    Belhouari, Setti
    Eng, Kenneth T.
    Mandelcorn, Efrem D.
    da Costa, Bruno R.
    Miranda, Rafael N.
    Felfeli, Tina
    OPHTHALMOLOGY, 2023, 130 (06) : 558 - 559
  • [43] Metrics of retinal vasculature detected on OCTA in carotid artery stenosis: A systematic review and meta-analysis
    Ji, Kaibao
    Yang, Yang
    Xing, Yiqiao
    Wan, Wei
    PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2024, 50
  • [44] Peripheral biomarkers to diagnose obstructive sleep apnea in adults: A systematic review and meta-analysis
    Gaspar, Laetitia S.
    Santos-Carvalho, Ana
    Santos, Barbara
    Carvalhas-Almeida, Catarina
    Barros-Viegas, Ana Teresa
    Oliveiros, Barbara
    Donato, Helena
    Santos, Clara
    Moita, Joaquim
    Cavadas, Claudia
    Alvaro, Ana Rita
    SLEEP MEDICINE REVIEWS, 2022, 64
  • [45] Highlighting Directional Reflectance Properties of Retinal Substructures From D-OCT Images
    Rossant, Florence
    Grieve, Kate
    Paques, Michel
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 66 (11) : 3105 - 3118
  • [46] Automated Detection of Retinal Disorders from OCT Images using Artificial Neural Network
    Devarakonda, S. T.
    Vupparaboina, K. K.
    Richhariya, A.
    Chhablani, J.
    Jana, S.
    2016 IEEE ANNUAL INDIA CONFERENCE (INDICON), 2016,
  • [47] A robust segmentation of retinal fluids from OCT images using MCFAR-net
    Pavani, P. Geetha
    Biswal, B.
    Kandula, Srinivasa Rao
    Biswal, P. K.
    Siddartha, G.
    Niranjan, T.
    Subrahmanyam, Bala
    NEUROCOMPUTING, 2024, 599
  • [48] RD-OCT net: hybrid learning system for automated diagnosis of macular diseases from OCT retinal images
    Prabha, A. Jeya
    Venkatesan, C.
    Fathimal, M. Sameera
    Nithiyanantham, K. K.
    Kirubha, S. P. Angeline
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2024, 10 (02)
  • [49] Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)
    Akpinar, Muhammed Halil
    Sengur, Abdulkadir
    Faust, Oliver
    Tong, Louis
    Molinari, Filippo
    Acharya, U. Rajendra
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 254
  • [50] Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images
    Sharafi, Sayed Mehran
    Sylvestre, Jean-Philippe
    Chevrefils, Claudia
    Soucy, Jean-Paul
    Beaulieu, Sylvain
    Pascoal, Tharick A.
    Arbour, Jean Daniel
    Rheaume, Marc-Andre
    Robillard, Alain
    Chayer, Celine
    Rosa-Neto, Pedro
    Mathotaarachchi, Sulantha S.
    Nasreddine, Ziad S.
    Gauthier, Serge
    Lesage, Frederic
    ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2019, 5 (01) : 610 - 617