A link between maternal malnutrition and depletion of glutathione in the developing lens: a possible explanation for idiopathic childhood cataract?

Real-time artificial intelligence evaluation of cataract surgery: A preliminary study on demonstration experiment

PURPOSE:

We demonstrated real-time evaluation technology for cataract surgery using artificial intelligence (AI) to residents and supervising doctors (doctors), and performed a comparison between the two groups in terms of risk indicators and duration for two of the important processes of surgery, continuous curvilinear capsulorhexis (CCC) and phacoemulsification (Phaco).

MATERIALS AND METHODS:

Each of three residents with operative experience of fewer than 100 cases, and three supervising doctors with operative experience of 1000 or more cases, performed cataract surgeries on three cases, respectably, a total of 18 cases. The mean values of the risk indicators in the CCC and Phaco processes measured in real-time during the surgery were statistically compared between the residents’ group and the doctors’ group.

RESULTS:

The mean values (standard deviation) of the risk indicator (the safest, 0 to most risky, 1) for CCC were 0.556 (0.384) in the residents and 0.433 (0.421) in the doctors, those for Phaco were 0.511 (0.423) in the residents and 0.377 (0.406) in the doctors. The doctors’ risk indicators were significantly better in both processes (P = 0.0003, P < 0.0001 by Wilcoxon test).

CONCLUSION:

We successfully implemented a real-time surgical technique evaluation system for cataract surgery and collected data. The risk indicators were significantly better in the doctors than in the resident's group, suggesting that AI can objectively serve as a new indicator to intraoperatively identify surgical risks.

Congenital Infection and Congenital Cataract in Tanzania: A Case Control Study

Background: Cataract is the commonest cause of childhood blindness in sub Saharan Africa (SSA). The significance of congenital rubella and human cytomegalovirus (HCMV) infection in the etiology is not known. Objectives: We aimed to investigate prevalence of both viruses in cases of congenital cataract and controls. Methods: Lens tissue was collected (from cases), blood and saliva from cases and controls. Using ELISA, we tested blood samples for rubella and cytomegalovirus IgM. Quantitative polymerase chain reaction (qPCR) was also used for detection of the viruses. Results: Cytomegalovirus was detected using qPCR in 72.9% saliva specimens of cases compared to 38.5% of controls (P = 0.0001). Cytomegalovirus IgM was also detected in 10.8% blood specimens of cases and only 1.5% control (P = 0.01). Rubella IgM was detected in 13.8% blood specimens of cases and only 3.1% controls (P = 0.01). In lens aspirates of cases, 12.7% were HCMV positive and 11.1% were rubella positive by qPCR. Cases had lower birth weights (mean = 2.8 kg) than controls (mean = 3.2 kg), independent of viral status (P = 0.004). Conclusions: Although most of the children in the study presented too late to be sure that infection was congenital, our study strongly suggests that HCMV and rubella infection appear important causes of congenital cataract in Tanzania hence virology testing of infantile cataract cases may be useful in assessing effectiveness of immunization programs as they are established throughout SSA.

Monte Carlo simulation of dose coefficients for a fish eye lens model exposed to monoenergetic electrons

Vision is an important sense for the majority of the wildlife species, affecting their ability to find food and escape predation. Currently, no study on radiation induced cataract frequency on the fish eyes lens has been done. However, any thorough future study of this subject will require more accurate dose estimates for the fish eye lens than those currently available. For this purpose, the eye lens absorbed dose per unit fluence conversion coefficients for electron irradiation were calculated using the MCNPX Monte Carlo radiation transport code package. All results were validated against three different fish voxel models. The discrepancies between model results mainly originate from the different fish eye dimensions used in the different studies and in two of the cases the lack of a defined eye lens region. The dose conversion coefficients calculated in this work can be used to estimate the dose to the fish eye lens based on the activity concentration of the surrounding water. The model developed in this work has also demonstrated that the mathematical models still have several advantages over the voxel models.

High rates of ocular complications in a cohort of Haitian children and adolescents with diabetes

BACKGROUND

Ophthalmic complications of pediatric diabetes are rare, and rates are unknown in Haitian youth.

OBJECTIVES

To determine the prevalence and predictors of diabetic retinopathy (DR) and cataracts in a cohort of Haitian youth with insulin-treated diabetes.

METHODS

We performed a cross-sectional retrospective review of pediatric patients with diabetes from a pediatric chronic disease center in Haiti, from December 1, 2012 to November 1, 2016. Data collection included demographic and anthropometric information, total daily insulin dose and result of eye examination by a local ophthalmologist.

RESULTS

Of 67 patients (54% female, mean age at diagnosis 14.6 ± 3.9 years, mean diabetes duration 3.3 ± 3.0 years, mean HbA1c 84 ± 22 mmol/mol (9.8% ± 2.0%), mean current insulin requirement 0.49 ± 0.28 IU/kg/day), DR was diagnosed in 10/57 (18%) and cataracts in 10/62 (16%), at a mean age of 19.0 ± 4.3 and 19.1 ± 3.3 years, respectively. Diabetes duration was 4.9 ± 5.4 and 3.0 ± 1.5 years at the time of diagnosis of DR and cataracts, respectively. Age at complication, insulin requirement, sex, body mass index, family history, mean HbA1c and diabetes duration were not significant predictors of an ocular complication.

CONCLUSIONS

In this cohort of Haitian youth, DR and cataracts occur prematurely. Low-insulin requirements years after diagnosis, possibly allowing for prolonged undetected hyperglycemia prediagnosis, may explain complication risk. The phenotypes of diabetes in pediatric populations of African ancestry may be distinct. Ophthalmologic evaluation should possibly start at diagnosis, and screening guidelines may need to be adapted.

Screening, genetics, risk factors, and treatment of neonatal cataracts

Neonatal cataracts remain the most common cause of visual loss in children worldwide and have diverse, often unknown, etiologies. This review summarizes current knowledge about the detection, treatment, genetics, risk factors, and molecular mechanisms of congenital cataracts. We emphasize significant progress and topics requiring further study in both clinical cataract therapy and basic lens research. Advances in genetic screening and surgical technologies have improved the diagnosis, management, and visual outcomes of affected children. For example, mutations in lens crystallins and membrane/cytoskeletal components that commonly underlie genetically inherited cataracts are now known. However, many questions still remain regarding the causes, progression, and pathology of neonatal cataracts. Further investigations are also required to improve diagnostic criteria for determining the timing of appropriate interventions, such as the implantation of intraocular lenses and postoperative management strategies, to ensure safety and predictable visual outcomes for children. Birth Defects Research 109:734-743, 2017. © 2017 Wiley Periodicals, Inc.