Technologies for Objective Assessment of Dry Eye Disease
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (30 August 2022) | Viewed by 13120
Special Issue Editors
2. Red Temática de Investigación Colaborativa en Oftalmología, Instituto de Salud Carlos III, 28220 Madrid, Spain
Interests: dry eye disease; refractive surgery; contact lenses; reliability of ophthalmic instruments
Department of Statistics and Operative Research, University of Valladolid, Valladolid, Spain
Interests: biostatistics; statistical methods in diagnostic studies; statistical computing; high-dimensional data; biomarkers
Special Issue Information
Dear Colleagues,
Dry eye disease (DED) is a multifactorial condition of the lacrimal functional unit causing loss of homeostasis of the tear film, which is usually accompanied by symptoms. The prevalence of DED varies depending on the geographical area; however, it affects millions of people worldwide and is one of the most commonly occurring conditions that drive patients to seek treatment.
Numerous clinical trials for DED have been carried out during the last two decades, however, most of them failed to get regulatory (i.e., FDA or EMA) approval. The TFOS DEWS II Clinical Trial Design Report stated that the main reason for these failures could be the lack of correlation between DED signs and symptoms. Thus, choosing an appropriate primary endpoint is essential for success. However, it is well-known that inherent variability is associated with most of the common DED signs because they are usually evaluated by an observer (i.e., corneal staining).
This Special Issue will address the current scientific developments carried out to increase the reliability of the clinical signs assessing DED. Papers are invited that investigate new or previous technology to increase the reliability of DED clinical signs, these innovative techniques could be already commercially available or still in the research phase. Topics of interest include the following: studies on image analysis (description or clinical validation) of the DED signs commonly observed in the ocular surface (including the whole cornea), lids, and Meibomian glands; studies on the application of technology, either commonly used in ophthalmic settings or not, to describe clinical signs that could be used to objectively assess DED.
Dr. Alberto López-Miguel
Dr. Itziar Fernández Martínez
Guest Editors
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Keywords
- Dry eye disease
- Clinical signs
- Innovative technology
- Image processing
- Image metadata extraction
- Automated image analysis
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