Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images
Abstract Introduction This study investigates the relationship between retinal image features and β‐amyloid (Aβ) burden in the brain with the aim of developing a noninvasive method to predict the deposition of Aβ in the brain of patients with Alzheimer's disease. Methods Retinal images from 20...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Alzheimer’s & Dementia: Translational Research & Clinical Interventions |
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| Online Access: | https://doi.org/10.1016/j.trci.2019.09.006 |
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| author | Sayed Mehran Sharafi Jean‐Philippe Sylvestre Claudia Chevrefils Jean‐Paul Soucy Sylvain Beaulieu Tharick A. Pascoal Jean Daniel Arbour Marc‐André Rhéaume Alain Robillard Céline Chayer Pedro Rosa‐Neto Sulantha S. Mathotaarachchi Ziad S. Nasreddine Serge Gauthier Frédéric Lesage |
| author_facet | Sayed Mehran Sharafi Jean‐Philippe Sylvestre Claudia Chevrefils Jean‐Paul Soucy Sylvain Beaulieu Tharick A. Pascoal Jean Daniel Arbour Marc‐André Rhéaume Alain Robillard Céline Chayer Pedro Rosa‐Neto Sulantha S. Mathotaarachchi Ziad S. Nasreddine Serge Gauthier Frédéric Lesage |
| author_sort | Sayed Mehran Sharafi |
| collection | DOAJ |
| description | Abstract Introduction This study investigates the relationship between retinal image features and β‐amyloid (Aβ) burden in the brain with the aim of developing a noninvasive method to predict the deposition of Aβ in the brain of patients with Alzheimer's disease. Methods Retinal images from 20 cognitively impaired and 26 cognitively unimpaired cases were acquired (3 images per subject) using a hyperspectral retinal camera. The cerebral amyloid status was determined from binary reads by a panel of 3 expert raters on 18F‐florbetaben positron‐emission tomography (PET) studies. Image features from the hyperspectral retinal images were calculated, including vessels tortuosity and diameter and spatial‐spectral texture measures in different retinal anatomical regions. Results Retinal venules of amyloid‐positive subjects (Aβ+) showed a higher mean tortuosity compared with the amyloid‐negative (Aβ−) subjects. Arteriolar diameter of Aβ+ subjects was found to be higher than the Aβ− subjects in a zone adjacent to the optical nerve head. Furthermore, a significant difference between texture measures built over retinal arterioles and their adjacent regions were observed in Aβ+ subjects when compared with the Aβ−. A classifier was trained to automatically discriminate subjects combining the extracted features. The classifier could discern Aβ+ subjects from Aβ− subjects with an accuracy of 85%. Discussion Significant differences in texture measures were observed in the spectral range 450 to 550 nm which is known as the spectral region known to be affected by scattering from amyloid aggregates in the retina. This study suggests that the inclusion of metrics related to the retinal vasculature and tissue‐related textures extracted from vessels and surrounding regions could improve the discrimination performance of the cerebral amyloid status. |
| format | Article |
| id | doaj-art-beb153866b404fe8938cbc0f7a7c8308 |
| institution | DOAJ |
| issn | 2352-8737 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Alzheimer’s & Dementia: Translational Research & Clinical Interventions |
| spelling | doaj-art-beb153866b404fe8938cbc0f7a7c83082025-08-20T03:22:00ZengWileyAlzheimer’s & Dementia: Translational Research & Clinical Interventions2352-87372019-01-015161061710.1016/j.trci.2019.09.006Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal imagesSayed Mehran Sharafi0Jean‐Philippe Sylvestre1Claudia Chevrefils2Jean‐Paul Soucy3Sylvain Beaulieu4Tharick A. Pascoal5Jean Daniel Arbour6Marc‐André Rhéaume7Alain Robillard8Céline Chayer9Pedro Rosa‐Neto10Sulantha S. Mathotaarachchi11Ziad S. Nasreddine12Serge Gauthier13Frédéric Lesage14Genie Electrique Polytechnique MontrealMontrealQuebecCanadaOptina DiagnosticsMontrealQuebecCanadaOptina DiagnosticsMontrealQuebecCanadaMontreal Neurological Institute, McGill UniversityMontrealQuebecCanadaDépartement de médecine nucléaire, Hôpital Maisonneuve‐RosemontMontrealQuebecCanadaTranslational Neuroimaging Laboratory, McGill Centre for Studies in AgingDouglas Mental Health University InstituteMontrealQuebecCanadaClinique ophtalmologique 2121MontrealQuebecCanadaClinique ophtalmologique 2121MontrealQuebecCanadaDépartement de psychiatrieHôpital Maisonneuve‐RosemontMontrealQuebecCanadaDépartement de psychiatrieHôpital Maisonneuve‐RosemontMontrealQuebecCanadaTranslational Neuroimaging LaboratoryMcGill Centre for Studies in Aging Douglas Mental Health University InstituteMontrealQuebecCanadaTranslational Neuroimaging LaboratoryMcGill Centre for Studies in Aging Douglas Mental Health University InstituteMontrealQuebecCanadaMoCA Clinic and InstituteGreenfield ParkQuebecCanadaAlzheimer's Disease Research UnitThe McGill University Research Centre for Studies in AgingMontrealQuebecCanadaGenie Electrique Polytechnique MontrealMontrealQuebecCanadaAbstract Introduction This study investigates the relationship between retinal image features and β‐amyloid (Aβ) burden in the brain with the aim of developing a noninvasive method to predict the deposition of Aβ in the brain of patients with Alzheimer's disease. Methods Retinal images from 20 cognitively impaired and 26 cognitively unimpaired cases were acquired (3 images per subject) using a hyperspectral retinal camera. The cerebral amyloid status was determined from binary reads by a panel of 3 expert raters on 18F‐florbetaben positron‐emission tomography (PET) studies. Image features from the hyperspectral retinal images were calculated, including vessels tortuosity and diameter and spatial‐spectral texture measures in different retinal anatomical regions. Results Retinal venules of amyloid‐positive subjects (Aβ+) showed a higher mean tortuosity compared with the amyloid‐negative (Aβ−) subjects. Arteriolar diameter of Aβ+ subjects was found to be higher than the Aβ− subjects in a zone adjacent to the optical nerve head. Furthermore, a significant difference between texture measures built over retinal arterioles and their adjacent regions were observed in Aβ+ subjects when compared with the Aβ−. A classifier was trained to automatically discriminate subjects combining the extracted features. The classifier could discern Aβ+ subjects from Aβ− subjects with an accuracy of 85%. Discussion Significant differences in texture measures were observed in the spectral range 450 to 550 nm which is known as the spectral region known to be affected by scattering from amyloid aggregates in the retina. This study suggests that the inclusion of metrics related to the retinal vasculature and tissue‐related textures extracted from vessels and surrounding regions could improve the discrimination performance of the cerebral amyloid status.https://doi.org/10.1016/j.trci.2019.09.006Multispectral fundus imagingAlzheimerBeta amyloidRetinaImage processingMachine learning |
| spellingShingle | Sayed Mehran Sharafi Jean‐Philippe Sylvestre Claudia Chevrefils Jean‐Paul Soucy Sylvain Beaulieu Tharick A. Pascoal Jean Daniel Arbour Marc‐André Rhéaume Alain Robillard Céline Chayer Pedro Rosa‐Neto Sulantha S. Mathotaarachchi Ziad S. Nasreddine Serge Gauthier Frédéric Lesage Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images Alzheimer’s & Dementia: Translational Research & Clinical Interventions Multispectral fundus imaging Alzheimer Beta amyloid Retina Image processing Machine learning |
| title | Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| title_full | Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| title_fullStr | Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| title_full_unstemmed | Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| title_short | Vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| title_sort | vascular retinal biomarkers improves the detection of the likely cerebral amyloid status from hyperspectral retinal images |
| topic | Multispectral fundus imaging Alzheimer Beta amyloid Retina Image processing Machine learning |
| url | https://doi.org/10.1016/j.trci.2019.09.006 |
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