Quality and learning curve of handheld versus stand-alone non-mydriatic cameras

Gosheva, Mariya; Klameth, Christian; Norrenberg, Lars A.; Clin, Lucien; Dietter, Johannes; Haq, Wadood; Ivanov, Iliya V.; Ziemssen, Focke; Leitritz, Martin Alexander

doi:10.2147/opth.s140064

Cited by 17 publications

(15 citation statements)

References 11 publications

(15 reference statements)

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“…The inconvenience of the use of the slit-lamp base may not outweigh the gain of easy acquisition of high-quality images for quantitative analysis. It is also worth noting that some of the inexpensive handheld fundus cameras are also available, although some of these cameras do not use smartphones [18,19]. Based on the outcomes in the present study and previous studies [20], the PanOptic system could potentially be used for pre-screening in remote communities.…”

Section: Discussionmentioning

confidence: 65%

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

Wei

Xiao

et al. 2020

Eye and Vis

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Background The goal was to characterize retinal vasculature by quantitative analysis of arteriole-to-venule (A/V) ratio and vessel density in fundus photos taken with the PanOptic iExaminer System. Methods The PanOptic ophthalmoscope equipped with a smartphone was used to acquire fundus photos centered on the optic nerve head. Two fundus photos of a total of 19 eyes from 10 subjects were imaged. Retinal vessels were analyzed to obtain the A/V ratio. In addition, the vessel tree was extracted using deep learning U-NET, and vessel density was processed by the percentage of pixels within vessels over the entire image. Results All images were successfully processed for the A/V ratio and vessel density. There was no significant difference of averaged A/V ratio between the first (0.77 ± 0.09) and second (0.77 ± 0.10) measurements (P = 0.53). There was no significant difference of averaged vessel density (%) between the first (6.11 ± 1.39) and second (6.12 ± 1.40) measurements (P = 0.85). Conclusions Quantitative analysis of the retinal vasculature was feasible in fundus photos taken using the PanOptic ophthalmoscope. The device appears to provide sufficient image quality for analyzing A/V ratio and vessel density with the benefit of portability, easy data transferring, and low cost of the device, which could be used for pre-clinical screening of systemic, cerebral and ocular diseases.

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Section: Discussionmentioning

confidence: 65%

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

Wei

Xiao

et al. 2020

Eye and Vis

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“…Consequently, among the 294 patients, only 92 (31.3%) patients consulted with the ophthalmologist. [12] In their study, Gosheva et al [13] demonstrated that, despite the recommendations, only half of the patients had received the recommended screening for DR. In line with the previous studies, among the 1883 patients who were referred to the ophthalmology clinic, 933 (49.5%) patients were examined by an ophthalmologist in our study.…”

Section: Discussionmentioning

confidence: 99%

“…In different studies, retinal photographs of patients with severe cataracts, glaucoma, traumatic injury, and a small pupil could not be obtained or graded. [8][9][10][11][12][13] Gosheva et al [13] in their study had used the same system with us (DRS Centervue) and got better quality images with a minimum diameter of >3 mm pupil size. The proportion of photographs that could not be evaluated in the work of Kim et al [10] varied between 10% and 30%, depending on the mydriatic appli-cation.…”

Section: Discussionmentioning

confidence: 99%

The efficiency of first telemedicine application of fundus photograph for the diagnosis of diabetic retinopathy in Turkey

Sertbaş¹

2021

South Clin Ist Euras

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Objective: Diabetic retinopathy is one of the most common causes of preventable and treatable blindness in adulthood. Systemic screening with regular eye examination can prevent vision loss and blindness related to diabetic retinopathy. Our study aimed to see the efficiency of telemedicine application of fundus photograph for the diagnosis of diabetic retinopathy. Methods:We retrospectively compared the patients' follow-up situation for diabetic retinopathy screening from two different diabetic centers between January 2018 and January 2019. We recruited 3539 diabetic patients. Among these patients, 1883 of them were referred to ophthalmologist from the first diabetes center, which is located on the main campus of hospital and in the second center which is located away from the hospital, 1656 patients' digital photographs were taken. These images were transmitted through a telemedicine system to an expert ophthalmologist for evaluation. Results:As a result of the study, we saw that only 933 of 1883 (49.5%) patients had admitted to the ophthalmologist for retinopathy control. On the other hand, among the patients who were screened by a digital photograph with telemedicine method, almost all of the patients were evaluated (1589 of 1656) and only 67 (4%) of them could not be evaluated due to imaging problems. It is obviously seen that in the second center much more people had been evaluated when compared to the first center (933 [49.5%] vs. 1589 [96%]; p<0.05). Conclusion:Our study confirmed that the use of the retinal photographing intertwined with the telemedicine system should be used more widely into provide regular screening of diabetic retinopathy.

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“…Handheld cameras have been used previously for retina and optic disc screening [32,33], and they have been compared, with good results, with stand-alone nonmydriatic cameras [34]. The quality of the images for screening is a key point.…”

Section: Discussionmentioning

confidence: 99%

Remote screening of retinal and optic disc diseases using handheld nonmydriatic cameras in programmed routine occupational health checkups onsite at work centers

Zapata¹,

Martin

Garcia-Arumí

et al. 2020

Graefes Arch Clin Exp Ophthalmol

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Purpose To evaluate the first year outcomes of a remote screening program for detection of retinal diseases using handheld nonmydriatic cameras in occupational routine checkups performed onsite at work centers. Methods Cross-sectional, first year screening program outcomes audit. Participants were volunteers recruited from staff within work centers. Retinal fundus images were captured by technicians, and images and data were anonymized and sent securely to a remote server. A team of ophthalmologists, all retinal specialists, remotely read the images using a custom-made software and sent telematic reports of findings within 24-48 h. The main items evaluated were the detection of retinal abnormalities and the relationship between retinal findings and demographic data such as age and sex. Results A total of 19,881 workers were evaluated in 52 centers. Mean age was 41.1 years old, 43.9% men and 56.1% women. Mean duration of the test was around 2 min. Of the workers, 7.8% presented abnormalities in retinal fundus images, being the main findings choroidal nevus (2.4%), macular pigment abnormalities (1.5%), glaucomatous optic disc (1.2%), and macular signs of high myopia (1.1%). The presence of abnormalities was associated with greater age, being 5%, 7.9%, 12.6%, and 19.7% in workers less than 40 years, from 40 to 49, 50-59, and ≥ 60 years (p < 0.05), respectively. Men had more abnormalities in retinal fundus images than women (8.6 vs. 7.2; p < 0.05 RR: 1.2; CI 1092-1322). Conclusions Mass screening of retinal and optic disc abnormalities during occupational health routine checkups is a feasible, quick, and efficient tool for early detection of potential vision-threatening disease markers.

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Quality and learning curve of handheld versus stand-alone non-mydriatic cameras

Cited by 17 publications

References 11 publications

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

The efficiency of first telemedicine application of fundus photograph for the diagnosis of diabetic retinopathy in Turkey

Remote screening of retinal and optic disc diseases using handheld nonmydriatic cameras in programmed routine occupational health checkups onsite at work centers

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