Dry Eye, Dry Eye Disease (DED)
Conditions
Keywords
PAOSID, Dr EYE
Brief summary
Dry eye disease (DED) is a common eye condition that is becoming more widespread. Detecting it early, keeping track of its progression, and following up regularly can help protect vision and prevent serious complications. However, due to a shortage of ophthalmologists, limited access to eye care services, and disparities in care quality, many patients receive infrequent or insufficient clinical consultations. To address these needs, a portable automatic ocular surface imaging device (PAOSID) that attaches to a mobile phone has been developed. This device uses three types of light including white, infrared, and cobalt blue light to capture clear images and videos of the eye's surface. It also has a smart system that automatically takes high-quality images, allowing patients to use it at home independently. This device may help detect early signs of DED and monitor eye health more easily.
Interventions
DIAGNOSTIC_TESTDr Eye
Portable automatic ocular surface imaging device (PAOSID) that attaches to a mobile phone has been developed. This device uses three types of light including white, infrared, and cobalt blue light to capture clear images and videos of the eye's surface. It also has a smart system that automatically takes high-quality images, allowing patients to use it at home independently. This device may help detect early signs of DED and monitor eye health more easily.
Sponsors
The Eye Hospital of Wenzhou Medical University
Singapore National Eye Centre
Study design
Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
1. Participants diagnosed as DED by experienced ophthalmologists, based on the TFOS DEWS II (The Tear Film and Ocular Surface Society Dry Eye Workshop II) guidelines,(19) as well as healthy individuals with no ocular conditions who voluntarily agreed to participate in the study; 2. Participants, or their companions or caregivers, who are willing and able to use the study smartphone to capture relevant eye images and videos; 3. Aged 21 years or older; 4. Provide informed consent.
Exclusion criteria
1. Participants with ocular surface disorders other than DED that may affect the appearance of the ocular surface (e.g., pterygium, keratitis, corneal scarring) or with any organic pathologies impacting vision (e.g., cataracts, glaucoma, retinal diseases). 2. Patients currently wearing scleral lenses or bandage contact lenses. 3. Significant changes in the ocular images since diagnosis due to factors such as postdiagnostic treatment; 4. Unable to cooperate with the PAOSID, such as due to a serious mental illness or brain damage causing loss of limb control; 5. Eyes with previous or active corneal diseases such as infectious keratitis, corneal opacity or dystrophy; 6. Eyes with active inflammation or infection.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The primary objective is to study the diagnostic accuracy of remote Dry Eye Disease (DED) diagnosis using a portable automatic ocular surface imaging device (PAOSID), as compared with standard clinical DED diagnosis. | From enrollment to end of visit 1, estimated 1 hour (One Time Visit) |
Secondary
| Measure | Time frame |
|---|---|
| The secondary objectives: diagnostic consistency of remote Dry Eye Disease (DED) diagnosis using a portable automatic ocular surface imaging device (PAOSID), as compared with standard clinical DED diagnosis. | From enrollment to end of visit 1, estimated 1 hour (One Time Visit) |
Contacts
Primary ContactLouis Tong, PhD
Backup ContactSharon Yeo, BSc
Outcome results
None listed