A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease
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 f...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Online Access: | https://hdl.handle.net/10356/163081 |
| _version_ | 1826123611798241280 |
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| author | Chua, Jacqueline Li, Chi Ho, Lucius Kang Hua Wong, Damon Tan, Bingyao Yao, Xinwen Gan, Alfred Schwarzhans, Florian Garhöfer, Gerhard Sng, Chelvin C. A. Hilal, Saima Venketasubramanian, Narayanaswamy Cheung, Carol Y. Fischer, Georg Vass, Clemens Wong, Tien Yin Chen, Christopher Li-Hsian Schmetterer, Leopold |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Chua, Jacqueline Li, Chi Ho, Lucius Kang Hua Wong, Damon Tan, Bingyao Yao, Xinwen Gan, Alfred Schwarzhans, Florian Garhöfer, Gerhard Sng, Chelvin C. A. Hilal, Saima Venketasubramanian, Narayanaswamy Cheung, Carol Y. Fischer, Georg Vass, Clemens Wong, Tien Yin Chen, Christopher Li-Hsian Schmetterer, Leopold |
| author_sort | Chua, Jacqueline |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:07:30Z |
| format | Journal Article |
| id | ntu-10356/163081 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:07:30Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1630812023-12-29T06:50:22Z A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease Chua, Jacqueline Li, Chi Ho, Lucius Kang Hua Wong, Damon Tan, Bingyao Yao, Xinwen Gan, Alfred Schwarzhans, Florian Garhöfer, Gerhard Sng, Chelvin C. A. Hilal, Saima Venketasubramanian, Narayanaswamy Cheung, Carol Y. Fischer, Georg Vass, Clemens Wong, Tien Yin Chen, Christopher Li-Hsian Schmetterer, Leopold School of Chemical and Biomedical Engineering Singapore National Eye Centre SERI NTU Advanced Ocular Engineering (STANCE) Engineering::Bioengineering Optical Coherence Tomography Mild Cognitive Impairment 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. Agency for Science, Technology and Research (A*STAR) Nanyang Technological University National Medical Research Council (NMRC) National Research Foundation (NRF) Published version This work was funded by grants from the National Medical Research Council (CG/C010A/2017; OFIRG/0048/2017; OFLCG/004c/2018; and TA/MOH-00024900/2018), National Research Foundation Singapore, A*STAR (A20H4b0141), the Singapore Eye Research Institute & Nanyang Technological University (SERI-NTU Advanced Ocular Engineering (STANCE) Program), the Duke-NUS Medical School (Duke-NUS-KP (Coll)/2018/0009A), and the SERI-Lee Foundation (LF1019-1) Singapore. 2022-11-21T02:28:33Z 2022-11-21T02:28:33Z 2022 Journal Article Chua, J., Li, C., Ho, L. K. H., Wong, D., Tan, B., Yao, X., Gan, A., Schwarzhans, F., Garhöfer, G., Sng, C. C. A., Hilal, S., Venketasubramanian, N., Cheung, C. Y., Fischer, G., Vass, C., Wong, T. Y., Chen, C. L. & Schmetterer, L. (2022). A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease. Alzheimer's Research and Therapy, 14(1), 41-. https://dx.doi.org/10.1186/s13195-022-00982-0 1758-9193 https://hdl.handle.net/10356/163081 10.1186/s13195-022-00982-0 35272711 2-s2.0-85126265020 1 14 41 en CG/C010A/2017 OFIRG/0048/2017 OFLCG/004c/2018 TA/MOH-00024900/2018 A20H4b0141 Duke-NUS-KP (Coll)/2018/0009A LF1019-1 Alzheimer's Research and Therapy © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. application/pdf |
| spellingShingle | Engineering::Bioengineering Optical Coherence Tomography Mild Cognitive Impairment Chua, Jacqueline Li, Chi Ho, Lucius Kang Hua Wong, Damon Tan, Bingyao Yao, Xinwen Gan, Alfred Schwarzhans, Florian Garhöfer, Gerhard Sng, Chelvin C. A. Hilal, Saima Venketasubramanian, Narayanaswamy Cheung, Carol Y. Fischer, Georg Vass, Clemens Wong, Tien Yin Chen, Christopher Li-Hsian Schmetterer, Leopold A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title | A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title_full | A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title_fullStr | A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title_full_unstemmed | A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title_short | A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer's disease |
| title_sort | multi regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and alzheimer s disease |
| topic | Engineering::Bioengineering Optical Coherence Tomography Mild Cognitive Impairment |
| url | https://hdl.handle.net/10356/163081 |
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