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Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease.

ABSTRACT: Studies of rodent models of Alzheimer's disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (A?), may serve as surrogate markers of brain A? levels. As A? has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain A?. Significant differences in the retinal reflectance spectra are found between individuals with high A? burden on brain PET imaging and mild cognitive impairment (n?=?15), and age-matched PET-negative controls (n?=?20). Retinal imaging scores are correlated with brain A? loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate A? in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain A? load.

SUBMITTER: Hadoux X

PROVIDER: S-EPMC6748929 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease.

Hadoux Xavier X Hui Flora F Lim Jeremiah K H JKH Masters Colin L CL Pébay Alice A Chevalier Sophie S Ha Jason J Loi Samantha S Fowler Christopher J CJ Rowe Christopher C Villemagne Victor L VL Taylor Edward N EN Fluke Christopher C Soucy Jean-Paul JP Lesage Frédéric F Sylvestre Jean-Philippe JP Rosa-Neto Pedro P Mathotaarachchi Sulantha S Gauthier Serge S Nasreddine Ziad S ZS Arbour Jean Daniel JD Rhéaume Marc-André MA Beaulieu Sylvain S Dirani Mohamed M Nguyen Christine T O CTO Bui Bang V BV Williamson Robert R Crowston Jonathan G JG van Wijngaarden Peter P

Nature communications 20190917 1

Studies of rodent models of Alzheimer's disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden ...[more]

PMID: 31530809

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Project description:BackgroundHyperspectral Imaging (HSI) is a reliable and safe imaging method for taking intraoperative perfusion measurements. This is the first study translating intraoperative HSI to an in vivo laparoscopic setting using a CE-certified HSI-system for minimally invasive surgery (HSI-MIS). We aim to compare it to an established HSI-system for open surgery (HSI-Open).MethodsIntraoperative HSI was done using the HSI-MIS and HSI-Open at the Region of Interest (ROI). 19 patients undergoing gastrointestinal resections were analyzed in this study. The HSI-MIS-acquired images were aligned with those from the HSI-Open, and spectra and parameter images were compared pixel-wise. We calculated the Mean Absolute Error (MAE) for Tissue Oxygen Saturation (StO2), Near-Infrared Perfusion Index (NIR-PI), Tissue Water Index (TWI), and Organ Hemoglobin Index (OHI), as well as the Root Mean Squared Error (RMSE) over the whole spectrum. Our analysis of parameters was optimized using partial least squares (PLS) regression. Two experienced surgeons carried out an additional color-change analysis, comparing the ROI images and deciding whether they provided the same (acceptable) or different visual information (rejected).ResultsHSI and subsequent image registration was possible in 19 patients. MAE results for the original calculation were StO2 orig. 17.2% (± 7.7%), NIR-PIorig. 16.0 (± 9.5), TWIorig. 18.1 (± 7.9), OHIorig. 14.4 (± 4.5). For the PLS calculation, they were StO2 PLS 12.6% (± 5.2%), NIR-PIPLS 10.3 (± 6.0), TWIPLS 10.6 (± 5.1), and OHIPLS 11.6 (± 3.0). The RMSE between both systems was 0.14 (± 0.06). In the color-change analysis; both surgeons accepted more images generated using the PLS method.ConclusionIntraoperative HSI-MIS is a new technology and holds great potential for future applications in surgery. Parameter deviations are attributable to technical differences and can be reduced by applying improved calculation methods. This study is an important step toward the clinical implementation of HSI for minimally invasive surgery.

Dataset Information

Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease.

Publications

Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer's disease.

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