SynthesisTranslational vision science & technology2020
Hyperspectral Imaging and the Retina: Worth the Wave?
Synthesis in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral retinal imaging to detect Alzheimer's disease in a memory clinic setting.Alzheimer's research & therapy · 2025Trial
- Characterization of a LED-Based Non-Mydriatic Hyperspectral Retinal Camera.Translational vision science & technology · 2026Article
- Correlation of Mitochondrial Flavoprotein Fluorescence and Sectoral OCT in Patients with Glaucoma, Suspects, and Ocular Hypertension.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Development of a multispectral imaging apparatus for cost-effective fundus disease detection.Biomedical optics express · 2025Article
- Hyperspectral retinal imaging biomarkers of ocular and systemic diseases.Eye (London, England) · 2025Review
- Retinal optical coherence tomography intensity spatial correlation features as new biomarkers for confirmed Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Retina Phantom Model for Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Tackling visual impairment: emerging avenues in ophthalmology.Frontiers in medicine · 2025Review
- Rationale and design of the BeyeOMARKER study: prospective evaluation of blood- and eye-based biomarkers for early detection of Alzheimer's disease pathology in the eye clinic.Alzheimer's research & therapy · 2024Observational
- Fluorescence excitation-scanning hyperspectral imaging with scalable 2D-3D deep learning framework for colorectal cancer detection.Scientific reports · 2024Article
- Hyperspectral Imaging Detects Clitoral Vascular Issues in Gender-Affirming Surgery.Diagnostics (Basel, Switzerland) · 2024Article
- Potential Retinal Biomarkers in Alzheimer's Disease.International journal of molecular sciences · 2023Review
- Using Ensemble OCT-Derived Features beyond Intensity Features for Enhanced Stargardt Atrophy Prediction with Deep Learning.Applied sciences (Basel, Switzerland) · 2023Article
- Retinal electrophysiology in central nervous system disorders. A review of human and mouse studies.Frontiers in neuroscience · 2023Review
- Current and novel multi-imaging modalities to assess retinal oxygenation and blood flow.Eye (London, England) · 2021Review
- A High-Resolution Hyperspectral Imaging System for the Retina.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Hyperspectral imaging is gaining attention in the biomedical field because it generates additional spectral information to study physiological and clinical processes. Several technologies have been described; however an independent, systematic literature overview is lacking, especially in the field of ophthalmology. This investigation is the first to systematically overview scientific literature specifically regarding retinal hyperspectral imaging. Methods: A systematic literature review was conducted, in accordance with PRISMA Statement 2009 criteria, in four bibliographic databases: Medline, Embase, Cochrane Database of Systematic Reviews, and Web of Science. Results: Fifty-six articles were found that meet the review criteria. A range of techniques was reported: Fourier analysis, liquid crystal tunable filters, tunable laser sources, dual-slit monochromators, dispersive prisms and gratings, computed tomography, fiber optics, and Fabry-Perrot cavity filter covered complementary metal oxide semiconductor. We present a narrative synthesis and summary tables of findings of the included articles, because methodologic heterogeneity and diverse research topics prevented a meta-analysis being conducted. Conclusions: Application in ophthalmology is still in its infancy. Most previous experiments have been performed in the field of retinal oximetry, providing valuable information in the diagnosis and monitoring of various ocular diseases. To date, none of these applications have graduated to clinical practice owing to the lack of sufficiently large validation studies. Translational Relevance: Given the promising results that smaller studies show for hyperspectral imaging (e.g., in Alzheimer's disease), advanced research in larger validation studies is warranted to determine its true clinical potential.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.