Please use this identifier to cite or link to this item: https://doi.org/10.1186/s13195-022-00982-0
Title: A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease
Authors: Chua, Jacqueline 
Li, Chi
Ho, Lucius Kang Hua
Wong, Damon
Tan, Bingyao
Yao, Xinwen
Gan, Alfred
Schwarzhans, Florian
Garhoefer, Gerhard
Sng, Chelvin CA 
Hilal, Saima 
Venketasubramanian, Narayanaswamy 
Cheung, Carol Y 
Fischer, Georg
Vass, Clemens
Wong, Tien Yin 
Chen, Christopher Li-Hsian 
Schmetterer, Leopold 
Keywords: Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences
Neurosciences & Neurology
Optical coherence tomography
mild cognitive impairment
Alzheimer's disease
FIBER LAYER THICKNESS
SPECTRAL-DOMAIN OCT
AGE
SEGMENTATION
SEVERITY
PROFILE
RNFL
Issue Date: 10-Mar-2022
Publisher: BMC
Citation: Chua, Jacqueline, Li, Chi, Ho, Lucius Kang Hua, Wong, Damon, Tan, Bingyao, Yao, Xinwen, Gan, Alfred, Schwarzhans, Florian, Garhoefer, Gerhard, Sng, Chelvin CA, Hilal, Saima, Venketasubramanian, Narayanaswamy, Cheung, Carol Y, Fischer, Georg, Vass, Clemens, Wong, Tien Yin, Chen, Christopher Li-Hsian, Schmetterer, Leopold (2022-03-10). A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 14 (1). ScholarBank@NUS Repository. https://doi.org/10.1186/s13195-022-00982-0
Abstract: Background: Diagnostic performance of optical coherence tomography (OCT) to detect Alzheimer’s disease (AD) and mild cognitive impairment (MCI) remains limited. We assessed whether compensating the circumpapillary retinal nerve fiber layer (cpRNFL) thickness for multiple demographic and anatomical factors as well as the combination of macular layers improves the detection of MCI and AD. Methods: This cross-sectional study of 62 AD (n = 92 eyes), 108 MCI (n = 158 eyes), and 55 cognitively normal control (n = 86 eyes) participants. Macular ganglion cell complex (mGCC) thickness was extracted. Circumpapillary retinal nerve fiber layer (cpRNFL) measurement was compensated for several ocular factors. Thickness measurements and their corresponding areas under the receiver operating characteristic curves (AUCs) were compared between the groups. The main outcome measure was OCT thickness measurements. Results: Participants with MCI/AD showed significantly thinner measured and compensated cpRNFL, mGCC, and altered retinal vessel density (p < 0.05). Compensated RNFL outperformed measured RNFL for discrimination of MCI/AD (AUC = 0.74 vs 0.69; p = 0.026). Combining macular and compensated cpRNFL parameters provided the best detection of MCI/AD (AUC = 0.80 vs 0.69; p < 0.001). Conclusions and relevance: Accounting for interindividual variations of ocular anatomical features in cpRNFL measurements and incorporating macular information may improve the identification of high-risk individuals with early cognitive impairment.
Source Title: ALZHEIMERS RESEARCH & THERAPY
URI: https://scholarbank.nus.edu.sg/handle/10635/218677
ISSN: 1758-9193
1758-9193
DOI: 10.1186/s13195-022-00982-0
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