Eye Disease: Diagnosis, Management, and Prognosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1773

Special Issue Editor


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Guest Editor
Health Promotion and Obesity Management Unit, Department of Pathophysiology, Faculty of Medical Sciences, Medical University of Silesia, 40-760 Katowice, Poland
Interests: OCT; ophthalmology; eye diseases; glaucoma

Special Issue Information

Dear Colleagues,

The human eye is a marvel of biological engineering, enabling us to experience the world in vibrant detail. However, a wide range of diseases can threaten this precious sense. Early and accurate diagnosis, coupled with effective management strategies, is crucial for preserving vision and improving patients’ quality of life.

This Special Issue of Diagnostics aims to explore the latest advancements in eye disease diagnosis, management and prognosis. We invite submissions that address the evolving landscape of ophthalmology and contribute to improved patient care.

Key areas of interest include, but are not limited to:

    Innovative diagnostic techniques such as:

    Artificial intelligence (AI) applications in image analysis;

    Advanced optical coherence tomography (OCT) applications;

    The use of other novel imaging modalities;

    Emerging treatment strategies could include:

    Gene therapy;

    Targeted drug delivery systems;

    Advancements in surgical techniques;

     The exploration of personalized medicine approaches;

     Prognostic biomarkers and predictive models that can predict:

     Disease progression;

     Treatment response;

     Patient outcomes.

Additionally, articles exploring the development of predictive models for eye diseases are welcome.

    Of interest are public health and global eye care, including the following:

     Teleophthalmology applications;

        Screening programs for underserved populations;

        Cost-effective diagnostic and treatment strategies.

We encourage submissions from a variety of research disciplines, including ophthalmology, biomedical engineering and computer science. This Special Issue welcomes original research articles, reviews and perspectives that advance the field of eye disease diagnosis, management and prognosis.

We look forward to receiving your valuable contributions!

Sincerely,

Dr. Adam Wylęgała
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • OCT
  • ophthalmology
  • eye diseases
  • glaucoma
  • diagnosis
  • prognosis

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Published Papers (2 papers)

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Review

12 pages, 1532 KiB  
Review
Classification of Hydroxychloroquine Retinopathy: A Literature Review and Proposal for Revision
by Seong Joon Ahn
Diagnostics 2024, 14(16), 1803; https://doi.org/10.3390/diagnostics14161803 - 19 Aug 2024
Viewed by 548
Abstract
Establishing universal standards for the nomenclature and classification of hydroxychloroquine retinopathy is essential. This review summarizes the classifications used for categorizing the patterns of hydroxychloroquine retinopathy and grading its severity in the literature, highlighting the limitations of these classifications based on recent findings. [...] Read more.
Establishing universal standards for the nomenclature and classification of hydroxychloroquine retinopathy is essential. This review summarizes the classifications used for categorizing the patterns of hydroxychloroquine retinopathy and grading its severity in the literature, highlighting the limitations of these classifications based on recent findings. To overcome these limitations, I propose categorizing hydroxychloroquine retinopathy into four categories based on optical coherence tomography (OCT) findings: parafoveal (parafoveal damage only), pericentral (pericentral damage only), combined parafoveal and pericentral (both parafoveal and pericentral damage), and posterior polar (widespread damage over parafoveal, pericentral, and more peripheral areas), with or without foveal involvement. Alternatively, eyes can be categorized simply into parafoveal and pericentral retinopathy based on the most dominant area of damage, rather than the topographic distribution of overall retinal damage. Furthermore, I suggest a five-stage modified version of the current three-stage grading system of disease severity based on fundus autofluorescence (FAF) as follows: 0, no hyperautofluorescence (normal); 1, localized parafoveal or pericentral hyperautofluorescence on FAF; 2, hyperautofluorescence extending greater than 180° around the fovea; 3, combined retinal pigment epithelium (RPE) defects (hypoautofluorescence on FAF) without foveal involvement; and 4, fovea-involving hypoautofluorescence. These classification systems can better address the topographic characteristics of hydroxychloroquine retinopathy using disease patterns and assess the risk of vision-threatening retinopathy by stage, particularly with foveal involvement. Full article
(This article belongs to the Special Issue Eye Disease: Diagnosis, Management, and Prognosis)
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17 pages, 319 KiB  
Review
Real-World Research on Retinal Diseases Using Health Claims Database: A Narrative Review
by Seong Joon Ahn
Diagnostics 2024, 14(14), 1568; https://doi.org/10.3390/diagnostics14141568 - 19 Jul 2024
Viewed by 922
Abstract
Real-world data (RWD) has emerged as a crucial component in understanding and improving patient outcomes across various medical conditions, including retinal diseases. Health claims databases, generated from healthcare reimbursement claims, offer a comprehensive source of RWD, providing insights into patient outcomes, healthcare utilization, [...] Read more.
Real-world data (RWD) has emerged as a crucial component in understanding and improving patient outcomes across various medical conditions, including retinal diseases. Health claims databases, generated from healthcare reimbursement claims, offer a comprehensive source of RWD, providing insights into patient outcomes, healthcare utilization, and treatment effectiveness. However, the use of these databases for research also presents unique challenges. This narrative review explores the role of real-world research on retinal diseases using health claims databases, highlighting their advantages, limitations, and potential contributions to advancing our understanding and management of the diseases. The review examines the applications of health claims databases in retinal disease research, including epidemiological studies, comparative effectiveness and safety analyses, economic burden assessments, and evaluations of patient outcomes and quality of care. Previous findings demonstrate the value of these databases in generating prevalence and incidence estimates, identifying risk factors and predictors, evaluating treatment effectiveness and safety, and understanding healthcare utilization patterns and costs associated with retinal diseases. Despite their strengths, health claims databases face challenges related to data limitations, biases, privacy concerns, and methodological issues. Accordingly, the review also explores future directions and opportunities, including advancements in data collection and analysis, integration with electronic health records, collaborative research networks and consortia, and the evolving regulatory landscape. These developments are expected to enhance the utility of health claims databases for retinal disease research, resulting in more comprehensive and impactful findings across diverse retinal disorders and robust real-world insights from a large population. Full article
(This article belongs to the Special Issue Eye Disease: Diagnosis, Management, and Prognosis)
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