AI Article Synopsis
- Researchers tested if taking pictures of eyes could help diagnose a disease called trachoma in kids, especially as the number of cases gets lower.
- They took photos of children's eyelids using two types of cameras and asked different people to look at the images to see how accurate they were.
- While people found taking pictures easy and liked using smartphones, they realized the photo quality must be really good to correctly identify the disease before using it in larger surveys.
Article Abstract
Background: Photography could be used to train individuals to diagnose trachomatous inflammation-follicular (TF) as trachoma prevalence decreases and to ensure accurate field TF grading in trachoma prevalence surveys. We compared photograph and field TF grading and determined the acceptability and feasibility of eyelid photography to community members and trachoma survey trainers.
Methods: A total of 100 children ages 1-9 y were examined for TF in two Maasai villages in Tanzania. Two images of the right everted superior tarsal conjunctiva of each child were taken with a smartphone and a digital single-lens reflex (DSLR) camera. Two graders independently graded all photos. Focus group discussions (FGDs) were conducted with community members and Tropical Data trainers.
Results: Of 391 photos, one-fifth were discarded as ungradable. Compared with field grading, photo grading consistently underdiagnosed TF. Compared with field grading, DSLR photo grading resulted in a higher prevalence and sensitivity than smartphone photo grading. FGDs indicated that communities and trainers found photography acceptable and preferred smartphones to DSLR in terms of practicalities, but image quality was of paramount importance for trainers.
Conclusions: Photography is acceptable and feasible, but further work is needed to ensure high-quality images that enable accurate and consistent grading before being routinely implemented in trachoma surveys.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11218887 | PMC |
| http://dx.doi.org/10.1093/inthealth/ihad111 | DOI Listing |
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