Monitoring and Morphologic Classification of Pediatric Cataract Using Slit-Lamp-Adapted Photography

Long, Erping; Lin, Zhuoling; Chen, Jingjing; Liu, Zhenzhen; Cao, Qian; Lin, Haotian; Chen, Weirong; Liu, Yizhi

doi:10.1167/tvst.6.6.2

Cited by 17 publications

(10 citation statements)

References 35 publications

(80 reference statements)

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“…In a recent study, Long et al (2017) reported a prevalence of 32.9% of total cataracts, 30.4% -nuclear cataracts, anterior polar -8%, posterior polar -13.5% and lamellar 9.6% [21]. Our results are similar, especially regarding the prevalence of total cataract -28%, lamellar -16% (the most frequent type reported in literature) and nuclear 11%.…”

Section:  Discussionsupporting

confidence: 85%

Congenital cataract – clinical and morphological aspects

Tătaru

Costache³

et al. 2020

Rom J Morphol Embryol

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Congenital cataract is one of the main causes of blindness in newborns and children. According to the World Health Organization (WHO), there are about 14 million children suffering from congenital cataract. Our study is based on 82 children, males -46 (56.1%) and females -36 (43.9%), with congenital cataract operated in the same ophthalmological centre in Bucharest, Romania. Of the 82 patients, 49 (59.76%) had bilateral cataract and 33 (40.24%) unilateral cataract. Clinically, the most frequent was the total cataract, followed by lamellar, nuclear and cerulean. We employed nine surgical approaches in our patients, depending on the type of intraocular lens (IOL). Morphologically, obvious changes were rendered evident at the level of anterior and posterior capsules, as well as subcapsular.

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Section:  Discussionsupporting

confidence: 85%

Congenital cataract – clinical and morphological aspects

Tătaru

Costache³

et al. 2020

Rom J Morphol Embryol

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“…Third, images used to train the telehealth module are acquired through slit-lamp photography. Therefore, assistances (e.g., strap 30 ) would be required for the uncooperative infants during the photography process. Fourth, the duration of self-controlled test is relatively short (one and four months).…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

Long

Chen

et al. 2020

npj Digit. Med.

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A challenge of chronic diseases that remains to be solved is how to liberate patients and medical resources from the burdens of long-term monitoring and periodic visits. Precise management based on artificial intelligence (AI) holds great promise; however, a clinical application that fully integrates prediction and telehealth computing has not been achieved, and further efforts are required to validate its real-world benefits. Taking congenital cataract as a representative, we used Bayesian and deep-learning algorithms to create CC-Guardian, an AI agent that incorporates individualized prediction and scheduling, and intelligent telehealth follow-up computing. Our agent exhibits high sensitivity and specificity in both internal and multi-resource validation. We integrate our agent with a web-based smartphone app and prototype a prediction-telehealth cloud platform to support our intelligent follow-up system. We then conduct a retrospective self-controlled test validating that our system not only accurately detects and addresses complications at earlier stages, but also reduces the socioeconomic burdens compared to conventional methods. This study represents a pioneering step in applying AI to achieve real medical benefits and demonstrates a novel strategy for the effective management of chronic diseases.

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“…The fine dots of the ring were located in the peripheral cortex. These changes reminisce of supranuclear cataracts in Alzheimer's disease 49 or blue‐dot opacities in humans, 50 which are not well understood. Recently, anterior segment ocular coherence tomography revealed small dot opacities in lenses of individuals with Down syndrome 51 .…”

Section: Discussionmentioning

confidence: 99%

Diabetic cataract in the Nile grass rat: A longitudinal phenotypic study of pathology formation

et al. 2021

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Diabetes is a major risk factor for cataract, the leading cause of blindness worldwide.There is an unmet need for a realistic model of diabetic cataract for mechanistic and longitudinal studies, as existing models do not reflect key aspects of the complex human disease. Here, we introduce and characterize diabetic cataract in the Nile grass rat (NGR, Arvicanthis niloticus), an established model of metabolic syndrome and type 2 diabetes (T2D). We conducted a longitudinal study of cataract in over 88 NGRs in their non-diabetic, pre-diabetic, and diabetic stages of metabolism. Oral glucose tolerance test (OGTT) results distinguished the metabolic stages. Diverse cataract types were observed in the course of diabetes, including cortical, posterior subcapsular (PSC), and anterior subcapsular (ASC), all of which succeeded a characteristic dotted ring stage in all animals. The onset ages of diabetes and cataract were 44 ± 3 vs 29 ± 1 (P < .001) and 66 ± 5 vs 58 ± 6 (not significant) weeks in females and males, respectively. Histological analysis revealed fiber disorganization, vacuolar structures, and cellular proliferation and migration in cataractous lenses. The lens epithelial cells (LECs) in non-diabetic young NGRs expressed the stress marker GRP78, as did LECs and migrated cells in the lenses of diabetic animals. Elucidating mechanisms underlying LEC proliferation and migration will be clinically valuable in prevention and treatment of posterior capsule opacification, a dreaded complication of cataract surgery. Marked changes in N-cadherin expression emphasized a role for LEC integrity in cataractogenesis. Apoptotic cells were dispersed in the equatorial areas in early cataractogenesis. Our study reveals diverse cataract types that spontaneously develop in the diabetic NGR, and which uniquely mirror the cataract and its chronic course of development in individuals with diabetes. We provide mechanistic insights into early stages of diabetic cataract. These unique characteristics make NGR highly suited for mechanistic studies, especially in the context of metabolism, diabetes, and aging.

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Monitoring and Morphologic Classification of Pediatric Cataract Using Slit-Lamp-Adapted Photography

Cited by 17 publications

References 35 publications

Congenital cataract – clinical and morphological aspects

Congenital cataract – clinical and morphological aspects

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

Diabetic cataract in the Nile grass rat: A longitudinal phenotypic study of pathology formation

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