Eye Cataract Research Articles

Visual Outcomes Following Non-Diffractive Extended-Depth-of-Focus Intraocular Lens Implantation in Patients with Epiretinal Membrane in One Eye and Bilateral Cataracts

Visual Outcomes Following Non-Diffractive Extended-Depth-of-Focus Intraocular Lens Implantation in Patients with Epiretinal Membrane in One Eye and Bilateral Cataracts

Ultrasonic A-Scan Signals Data Augmentation Using Electromechanical System Modelling to Enhance Cataract Classification Methods

The use of artificial intelligence in diverse diagnosis areas has significantly increased in the past few years because of the advantages it represents in clinical routine. Among the diverse diagnostic techniques, the use of ultrasounds is often preferred because of their simplicity, low cost, non-invasiveness, and non-ionizing characteristic. However, obtaining an adequate number of patients and data for training and testing machine learning models is challenging. To overcome this limitation, a novel approach is proposed for simulating data produced by ultrasonic diagnostic devices. The implemented method was based on a clinical prototype for eye cataract diagnosis, although the method can be extended to other applications as well. The proposed model encompasses the electric-to-acoustic signal conversion in the ultrasonic transducer, the wave propagation through the biological medium, and the subsequent acoustic-to-electric signal conversion in the transducer. Electrical modelling of the transducer was performed using a two-port network approach, while the acoustic wave propagation was modelled by using the k-Wave MATLAB toolbox. It was verified that the holistic modelling approach enabled the generation of synthetic data augmentation, presenting high similarity with real data.

Femtosecond laser assisted cataract surgery in a cataract patient with low vaulted ICL following LASIK: a case report

BackgroundApart from the conventional utilization of ICL implantation for the correction of refractive errors, its recent applications extend to correcting refractive errors post laser refractive surgery. Notably, the development of cataracts stands out as a prevalent postoperative complication, often associated with low vault. Previous cases have demonstrated successful management of cataracts with ICL through the combination of FLACS and ICL removal coupled with IOL implantation, resulting in favorable postoperative visual outcomes. Herein, we present a case of cataract with low vault ICL following LASIK and its subsequent management.Case presentationA 46-year-old male presented with vision loss in the right eye for 9 months, and he had undergone LASIK 22 years prior and had ICL implantation in both eyes 2 years ago to correct refractive error. One day after ICL implantation, both eyes exhibited the UDVA of 1.2 and 1.0, well-positioned ICLs, and approximate vault of 150 μm and 200 μm. Six months ago, the patient became aware of blurred vision in the right eye for a duration of 3 months. Examination revealed cloudy lens cortex in the right eye. During the current review, the UDVA of the right eye was 0.6, where nasal wedge-shaped clouding was evident and worsened, while the left eye lens remained transparent. AS-OCT demonstrated the vault of 54 μm in the right eye and 83 μm in the left eye. Considering the patient’s history of LASIK and the presence of right eye cataract, a monovision approach was adopted. The patient underwent FLACS combined with ICL extraction and monofocal IOL lens implantation in the right eye. At 10 days postoperatively, the patient exhibited the UDVA of 1.0.ConclusionsOur report confirms the feasibility of FLACS in managing cataracts in patients with low vault ICL following LASIK. This procedure does not pose significantly greater challenges than in typical cataract cases, although meticulous care remains essential throughout every step of the surgery, particularly during laser scanning and positioning. With adequate preoperative preparation and precise calculation of the IOL power, surgical outcomes can meet expectations fully.

Comparative Analysis of AI Chatbots ChatGPT, Gemini, and Copilot’s Answers to Common Cataract Questions

Purpose: To compare the readability and quality of the answers given by artificial intelligence (AI) chatbots to the twenty-five most frequent searches about cataracts on Google. Study Design: Cross sectional comparative study. Place and Duration of study: Serdivan State Hospital's Ophthalmology Department from March 2024 to April 2024. Methods: The word 'Cataract' was entered into Google Trends, and 25 trending searches made worldwide since 2004 were identified. These 25 trending searches were entered separately into AI programs. The answers were examined for quality using the Ensuring Quality Information for Patients (EQIP) test, while the readability was evaluated using the Flesch-Kincaid Reading Ease (FKRE) and Flesch-Kincaid Grade Level (FKGL). Results: The keywords searched most frequently were ‘Cataract surgery,’‘Eye cataract and 'After Cataract’. The EQIP category of all three AI chatbots was found to be 'serious quality issues.' When EQIP scores were compared, ChatGPT had a lower median value than Gemini and Copilot (p:0.001, p:0.007, respectively), while there was no significant difference between Gemini and Copilot (p:0.098). When FKRE values were compared, ChatGPT had a lower median value than Gemini and Copilot (p:0.001, p:0.001, respectively), with no significant difference between Gemini and Copilot (p:0.557). When FKGL values were compared, ChatGPT had a higher median value than Gemini and Copilot (p:0.003, p:0.001, respectively), with no significant difference between Gemini and Copilot(p:0.245). Conclusion: All three AI chatbots had an EQIP category of 'serious issues with quality .'The readability of all three was not at the recommended level.

Updating the no-history method in intraocular lens power calculation after myopic laser vision correction.

To describe the Shammas-Cooke formula, an updated no-history (NH) formula for IOL calculation in eyes with prior myopic laser vision correction (M-LVC), and to compare the results with the Shammas PL, Haigis-L, and Barrett True-K NH formulas. Bascom Palmer Eye Institute (BPEI), The Lennar Foundation Medical Center, University of Miami, Miami, Florida; Dean A. McGee Eye Institute (DMEI), University of Oklahoma, Oklahoma City, Oklahoma; and private practice, Lynwood, California, and St Joseph, Michigan. Retrospective observational study. We analyzed 2 large series of cataractous eyes with prior M-LVC. The training set (BPEI series of 330 eyes) was used to derive the new corneal power conversion equation to be used in the new Shammas-Cooke formula and the testing set (165 eyes of 165 patients in the DMEI series) to compare the updated formula with 3 other M-LVC NH formulas on the ASCRS calculator: Shammas PL, Haigis-L, and Barrett True-K NH. Mean prediction error was 0.09 ± 0.56 diopters (D), -0.44 ± 0.61 D, -0.47 ± 0.59 D, and -0.18 ± 0.56 D and the mean absolute error was 0.43 D, 0.60 D, 0.61 D, and 0.45 D for the Shammas-Cooke, Shammas PL, Haigis-L, and Barrett True-K NH, respectively. The percentage of eyes within ±0.50 D was 66.7% vs 47.9%, 48.5%, and 65.5%, respectively. The Shammas-Cooke formula performed better than the Shammas PL and Haigis-L (P < .001 for both) and as well as the Barrett True-K NH formula (P = .923).

Variability of solar UV radiation in the northern mountains of the Czech Republic, 2020–2021

Solar ultraviolet (UV) radiation has a crucial role in many atmospheric processes and a huge impact on living organisms. Its main positive effect is the synthesis of vitamin D, but it also causes problems such as sunburn, skin cancer or eye cataracts. In the mountains, high doses of UV frequently occur due to a specific combination of atmospheric and geographical factors such as a high ground reflection as a consequence of a large number of days with snow cover, or a lower concentration of atmospheric pollutants in comparison to lowland urban regions. This study used measurements of erythemal UV radiation from two high altitude areas: the Hrubý Jeseník Mountains (Vysoká hole meteorological station, 1 464 m a.s.l.) and the Giant Mountains (Luční bouda meteorological station, 1 413 m a.s.l.) in the Czech Republic, during 2020 and 2021. We evaluated the daily and monthly changes in erythemal dose and UV index. The maximum daily dose of 5.0 kJ.m-2 (8.9 of UV index) was measured on 28 June 2020 at Vysoká hole. The maximal UV index of 10.1 was observed at Luční bouda on 5 July 2020, while the maximum daily dose of 4.9 kJ.m-2 occurred on 14 June 2021. The main factors that caused changes in solar UV radiation were the amount of cloud cover as well as the total ozone column.

The Analysis Study of Prevalence, Diagnosis, and Management of Cataract in Adult Eye: A Comprehensive Systematic Review

Background: Cataract remains a major cause of visual impairment worldwide. However, in many countries cataract surgery is easily available. Cataract surgery is a kind of effective way to deal with cataract, but it is acompanied with many surgical complications and expensive costs that present enormous social and economic problems to a society, especially in the remote and poor areas of developing countries. The aim: The aim of this study to show about prevalence, diagnosis, and management of cataract in adult eye. Methods: By the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, this study was able to show that it met all of the requirements. Result: Eight publications were found to be directly related to our ongoing systematic examination after a rigorous three-level screening approach. Subsequently, a comprehensive analysis of the complete text was conducted, and additional scrutiny was given to these articles. Conclusion: Cataracts to increase in the near future due to an increase in the aging population and pre-senile cataracts. The current study also provides clinical determinants for cataract and cataract surgery. Since cataract has emerged as a public concern and the cost burden for cataract surgery has increased with an aging population, it is expected that the present study will form a cornerstone for further investigations and the establishment of a public health plan.

BAKTI SOSIAL SKRINING MATA DAN OPERASI KATARAK GRATIS RS. AHMAD WARDI DAN DOMPET DHUAFA BERSAMA MAHASISWA KULIAH KERJA MAHASISWA (KKM)

This free eye screening and cataract surgery social service activity is a tangible form of concern for Ahmad Wardi Hospital and Dompet Dhuafa, which collaborate with Student Work Lecture (KKM) students. The main goal of this activity is to help the underprivileged to get free access to eye health checks and treatments, especially for those who suffer from cataracts. Through eye screening, the medical team can detect vision problems early, while cataract surgery is given to patients who meet the criteria to improve their vision. KKM students play an important role in this activity, starting from helping with preparations, providing education to the community, to being directly involved in the implementation in the field. With this program, it is hoped that people can feel the improvement in the quality of life, especially in terms of eye health, as well as grow awareness of the importance of maintaining eye health and conducting early checkups.

In Vivo Assessment of the Pediatric Trabecular Meshwork, Schlemm Canal, and Iridocorneal Angle Using Overhead-Mounted Optical Coherence Tomography

PurposeTo describe the in vivo morphologic characteristics of the trabecular meshwork (TM), Schlemm canal (SC), and iridocorneal angle in pediatric patients with normal eyes, glaucoma and cataract. DesignProspective cohort study Study population70 eyes (41 children) were enrolled. 28 normal eyes, 19 eyes with glaucoma, and 26 eyes with cataract (15 pre-, 11 post-lensectomy). Average age was 2.8±3.0 years at imaging. MethodsPediatric patients undergoing clinically indicated examination under anesthesia underwent overhead-mounted optical coherence tomography (OCT) imaging of the outflow pathway. Images were then evaluated for abnormalities in the outflow pathway. Main outcome measurePresence of thickened TM, SC patency, any iridocorneal angle malformation, and episcleral vessel patency in normal eyes vs. all other eyes. ResultsThickened TM tissue was found in no normal eyes, 47.4% of eyes with glaucoma, and 53.8% of eyes with cataracts. A patent SC was demonstrated in all normal eyes, 32% with glaucoma, and 65.4% with cataracts. Iridocorneal angle abnormality was identified in no normal eyes, 94.7% with glaucoma, and 69.2% with cataracts. Prevalence of iridocorneal angle abnormality was similar in cataract eyes pre- and post-lensectomy. All but one eye with glaucoma secondary to anterior segment dysgenesis had patent episcleral vessels. Intraocular pressure (IOP) at imaging was lower in eyes with than without a patent SC (13.9±3.8mmHg vs. 28.2±11.7mmHg, p<0.001). IOP was lower in eyes with normal iridocorneal angles compared to those with angle malformation (13.9±3.2mmHg vs. 22.6±12.1mmHg, p<0.001). There was no significant difference in IOP between eyes with normal TM thickness compared to those with thickened TM (17.4±8.2mmHg vs.17.4±9.5mmHg, p = 0.943). ConclusionEyes of children with glaucoma demonstrated thickened TM, decreased patency of SC, and abnormalities of the iridocorneal angle on OCT imaging, compared to normal controls. These abnormal findings also appear in many pediatric eyes with cataracts, even prior to lensectomy. Future study is warranted to evaluate the role these structural differences may play in the development of glaucoma following cataract surgery and the significant variation in how individual glaucoma eyes respond to angle surgery.

Intracameral Anaesthetic Mydriatic Versus Topical Mydriasis in Pediatric Cataract Surgery: A Randomized Control Study

To compare pupil dynamics after using premixed intracameral anesthetic mydriatic combination (ICAM) of phenylephrine (0.31%), tropicamide (0.02%), and lidocaine (1%) versus topical mydriatic (TM) drops consisting of tropicamide 0.8%, phenylephrine 5%, and cyclopentolate 0.5% in pediatric cataract surgery. Randomized, masked, fellow eye-controlled trial. Tertiary eye care facility. Children ≤12 years of age with bilateral cataracts planned for surgery. One eye was randomized to receive ICAM and the other eye (control) TM drops. Commercially available ICAM that was injected at the beginning of surgery or TM 3 times at an interval of 30 minutes, 1 hour before the scheduled time of surgery. The other treatment was administered for the second eye cataract surgery. Pupil dynamics at various points of surgery were studied by a masked observer. Sixty-three patients (126 eyes) were randomized to receive ICAM in 1 eye (group 1) or TM drops (group 2). The mean age of the children in the study was 15.7 ± 24.3 months (range 3 months to 5 years). Adequate mydriasis with a single injection was achieved in 93.5% of patients in group 1 and 88.8% of patients in group 2 without additional pharmacotherapy or intervention. The mean pupillary diameter increased from 1.78 mm to 5.1 mm after injection of 1 unit of ICAM and from 1.75 mm to 6.06 mm with TM drops (P < .0001). The maximum pupillary dilation achieved was 6.06 ± 1.17 mm in group 1 and 6.75 ± 1.07 mm in group 2 (P = .004). The average change in pupillary size from injection of drug until the end of surgery was positive in group 1 (0.75 ± 0.98 mm) and negative in group 2 (-0.3348 ± 2.57 mm), ie, there was a relative miosis in group 2 toward the end of surgery (P = .001). Topical drugs achieved a larger maximum pupil size compared with ICAM. However, ICAM provided adequate and stable mydriasis without the need for augmentation compared with topical drops in children undergoing cataract surgery.

A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images

Cataracts are common eye disorders characterized by the clouding of the lens, preventing light from passing through and impairing vision. Various factors, including changes in the lens’s hydration or alterations in its proteins, may contribute to their development. Regular eye examinations conducted by an ophthalmologist or optometrist are imperative for detecting cataracts and other ocular conditions early on. Manual checks by caregivers pose several problems, including subjectivity, human error, and a lack of expertise. Biomedical fusion involves combining or linking various characteristics specific to certain diseases from different medical imaging resources. The primary objectives of this approach in disease classification are to reduce the error rate and increase the number of retrieved features. The aim of this study is to evaluate the outcomes associated with fusing visual features related to left and right eye cataract characteristics. Additionally, we investigate the impact of limited variability in deep learning models, specifically in the classification of cataract fundus versus normal fundus images. To address this issue, this study introduces CataractNetDetect, an innovative multi-label deep learning classification system that fuses feature representations from pairs of fundus images (e.g., left and right eyes) for the automatic diagnosis of various ocular disorders. Our focus is on achieving improved performance by stacking discriminative deep feature representations to combine two fundus images into a unified feature representation. Several deep learning architectures are utilized as feature descriptors, including ResNet-50, DenseNet-121, and Inception-V3, enhancing the resilience and quality of representations. Fine-tuning of these DL architectures is conducted using the ImageNet dataset, followed by an integrated stacking approach combining ResNet-50, DenseNet-121, and Inception-V3 models. The model is trained on the publicly available ODIR-5k dataset, which includes 5000 left/right eye images depicting eight different ocular conditions, ranging from healthy states to uncommon ailments such as cataracts, glaucoma, age-related macular degeneration (AMD), diabetes, hypertension, and myopia abnormalities. Moreover, extensive preprocessing of the images is performed, including data augmentation, noise reduction, contrast enhancement, scaling, and circular border cropping. The CataractNetDetect system demonstrates F1-scores, AUC, and maximum validation scores of 98.0%, 97.9%, and 100%, respectively. This ensemble-based model distinguishes itself by surpassing the performance of conventional established methodologies, including ResNet-50, DenseNet-121, and Inception-V3, thereby underscoring its efficacy in diagnostic applications.

An Assessment of Contemporary Methods and Data-Enabled Approaches for Early Cataract Detection

Background: Cataracts are common causes of visual impairment. Preventing blindness requires an early and accurate diagnosis. This review examines current cataract diagnosis strategies, explores data-driven machine learning algorithms for early detection, investigates the use of artificial intelligence (AI) approaches, assesses improvements in cataract detection accuracy, identifies research gaps, and provides recommendations for future studies. Methods: We gathered labelled cataract and non-cataract fundus data from the Kaggle. Scholarly publications were sourced from reliable databases such as ProQuest, IEEE, ELSEVIER, Google Scholar, and PubMed. A detailed literature search with specific terms expanded the scope of this review. We included studies that used cataract and non-cataract fundus eye images from cross-sectional, retrospective, and prospective studies. The quality assessment used the AMSTAR tool, considering factors such as literature search comprehensiveness, study selection criteria, data extraction methodologies, and study validity (Table 1). Results: This study encompassed 130 research publications, focusing on machine learning models and clinical-based diagnostic approaches for early-stage cataract identification. The performance of machine-learning models is influenced by factors such as dataset noise and limited reliable data. Barriers to the successful implementation of AI for cataract diagnosis were identified. Conclusions: This review emphasises the obstacles hindering the broad application of AI in cataract diagnosis. Addressing these findings is vital for developing strategies to overcome these challenges and enhance cataract detection systems. To achieve improved accuracy and efficiency in cataract diagnosis, future research should prioritise efforts to enhance dataset availability and quality, reduce data noise, and refine machine-learning algorithms. Unlocking the full potential of AI and/or machine learning can lead to significant breakthroughs in cataract diagnosis, ultimately resulting in better patient outcomes and reduced visual impairments.

Introduction and Validation of Low-Cost Ocular Biometry in Healthy and Cataractous Eyes Using a Thermally Tunable Swept-Source Laser

To introduce and validate a novel substantially lower-priced and rapid swept-source investigational optical biometer in healthy and cataractous eyes, using a thermally tuned laser diode used extensively in cell phones and data communication as an alternative swept source. Prospective accuracy, validity, and reliability analysis. A total of 60 eyes of 59 subjects (29 eyes of 29 healthy subjects and 31 eyes of 30 cataract patients) were enrolled in a prospective comparative study at the Vienna General Hospital between August 2021 and April 2023. Averaged intraocular distances were acquired in 2.5 seconds from datasets consisting of 5000 consecutive A-scans at a single position by a low-cost swept-source optical biometry (SSOB) system. Instrument repeatability was assessed via standard deviations (SDs) and coefficients of variation (CoVs) of parameters such as axial length (AL), anterior chamber depth (ACD), lens thickness (LT), and central corneal thickness (CCT). Healthy subjects and cataract patients were subsequently measured on the same day with the SSOB and a referential partial coherence interferometry (PCI) biometer (IOLMaster 500) to establish AL inter-device correlation (r) for instrument calibration. AL and ACD as shared parameters between both biometers were evaluated for their limits of agreements (LoA) using Bland-Altman analysis. Repeated measurements of AL, ACD, LT, and CCT revealed SDs of 18 µm, 12 µm, 12 µm, and 10 µm, respectively. All parameters except for CCT had a COV <1%. Except for 1 eye with white cataract, 59 eyes of 59 study participants with various degrees and types of cataract could be measured with both devices. The AL inter-device correlation was excellent (r > 0.99). The 95% LoAs between both biometers were -0.14 to 0.13 mm for AL and -0.28 to 0.25 mm for ACD. Optical biometry using a thermally tunable VCSEL swept-source light source has the potential to provide clinically relevant biometric parameters at an unprecedented 100-fold lower price point than currently used state-of-the-art optical biometers, paving the way for compact devices in remote care settings.

Lens Thickness in Infants and Children with Cataracts

PurposeThe purpose of this study was to determine the association between lens thickness and cataract in subjects aged 0-5 years. DesignThis was a prospective multi-center case-control study. ParticipantsWe enrolled 118 participants (171 eyes) age 0-5 years old, mean age 14.6 ± 17.0 months, range 0 - 60 months. MethodsLens thickness was measured on 342 ultrasound biomicroscopy (UBM) images. Main Outcome MeasuresLens thickness; feasibility of lens thickness measurement from UBM images ResultsMean lens thickness among non-cataracts was 3.60 ± 0.17 mm, compared to 3.16 ± 0.61 mm among cataracts (p<0.0001). Lens thickness less than 3.5 mm was significantly associated with increased odds of cataract, adjusted OR=5.99 [2.41,14.88] (p=0.0003) among subjects age 0-7 months. Lens thickness was significantly associated with cataract laterality among subjects age 0-7 months (p<0.0001). ConclusionsQuantitative UBM can be used to evaluate lens thickness in infants and children with congenital cataracts. The lens in congenital cataract eyes was thinner than that of controls among infants. Abnormal lens thickness was significantly associated with cataract. Future longitudinal studies will examine the association between lens thickness and post-cataract surgery outcomes.

PUNCTATE INNER CHOROIDOPATHY FOLLOWING PARS PLANA VITRECTOMY FOR HIGH MYOPIC FULL THICKNESS MACULAR HOLE.

To describe a case of punctate inner choroidopathy (PIC) and secondary or epiphenomenon multiple evanescent white dot syndrome (EpiMEWDS) following surgery for high myopic full-thickness macular hole (FTMH). Case report. A 57-year-old high myopic female was diagnosed with cataract and FTMH in the left eye. Her initial best-corrected visual acuity (BCVA) was 20/20 in her right eye and 20/80 in the left eye. She underwent routine combined phacoemulsification and 25-gauge pars plana vitrectomy (PPV) with the inverted internal limiting membrane (ILM) technique and twice-repeated epiretinal membrane (ERM) and ILM staining in the left eye. Two weeks postoperatively, the patient reported significant visual decline and photopsia in her left eye. BCVA decreased to counting fingers. Anterior segment examination was unremarkable. Ophthalmoscopic examination showed multiple whitish-yellow lesions in the macular region compatible with PIC lesions in the left eye. Optical coherence tomography (OCT), blue-light fundus autofluorescence (BAF), fluorescein angiography, and indocyanine green angiography were performed and confirmed the diagnosis. The patient underwent oral steroid therapy for PIC treatment. One week after treatment initiation, BAF showed the occurrence of EpiMEWDS. After one month, all lesions resolved and BCVA improved to 20/100. We report a rare case of PIC and EpiMEWDS development following surgery for FTMH. We hypothesize that several causes, including individual susceptibility (high myopia and female gender), post-surgical inflammation, and/or dye toxicity due to repeated staining could have amplified this inflammatory chorioretinal response. Larger studies are needed to better understand the potential triggers of PIC development after surgery.

The output of cataract surgery performed by trained non-ophthalmologist physicians in rural areas: study of cataract outcomes and up-take of services report 7.

Cataract is the leading cause of blindness worldwide and surgery can restore vision in most patients. Some patients have little access to surgical services due to lack of cataract surgeons and the unaffordable costs. In 2005 we built a service model that trained rural non-ophthalmologist physicians to perform cataract surgeries in rural China. This study evaluates the long-term impacts of this model. We conducted a retrospective cohort study to analyze patients' hand-written medical records and electronic outpatient record between January 2005 and December 2019 at two rural health clinics in Southern China. In total, 34,601 patients (49,942 eyes) underwent cataract surgery by non-ophthalmologist physicians from 2005 to 2019.Visual acuity was clearly documented in 38,251 eyes. Before surgery, the unaided distance visual acuity (UDVA) of 60.7% (23,205/38,251) eyes was less than 0.05 decimal. On the first day after surgery, the percentage of UDVA < 0.05 eyes was reduced to 6.0%, and 96.7% (36,980/38,251) of the eyes achieved a better UDVA compared to pre-operation. Surgical-related complications occurred in 218 eyes. The most common complication was posterior capsule rupture (114, 0.23%). 44.3% (15,341/34,601) of the patients chose to have a second eye cataract surgery (SECS) in the same clinic. At one of the outpatient clinics, 21,595 patients received basic eye care apart from cataract surgery between 2018 and 2020. Non-ophthalmologist physicians trained for cataract surgeries in rural clinics can improve cataract related visual acuity and basic eye care to the local population.

Evaluation of Different Corneal Powers Measured by Corneal Tomography in Intraocular Lens Power Calculation

Abstract Background Corneal power measurement is essential for IOL power calculation. Conventional keratometry measures the anterior corneal surface using a standard keratometric index without measuring the posterior corneal surface. Schiempflug imaging have added the ability to measure posterior corneal surface which may affect IOL power calculation and postoperative refraction. Purpose To evaluate different keratometric measurements including Simulated keratometry (SimK), true net power (TNP), total corneal refractive power (TCRP) and equivalent K reading (EKR) obtained from corneal tomography in IOL power calculation and compare the predicted refraction of calculated IOL power with postoperative subjective refraction. Materials and Methods Sixty-five cataractous eyes were included in this prospective interventional case series. Four corneal power measurements using Pentacam AXL were analyzed: SimK over 3mm, TNP over 4mm, TCRP over 3mm and EKR over 4.5mm. The IOL power was calculated using Barrett Universal II formula. Results No statistically significant difference between SimK and EKR (p- value=1.000) while TNP and TCRP were statistically significantly higher than SimK (p-value&amp;lt;0.001) with mean difference 1.2+/-0.2D and 0.67+/-0.34D respectively. The mean prediction error of refractive outcome was -0.006+/-0.32D for SimK, -0.02+/- 0.5D for EKR, 1.08+/-0.4D for TNP and 0.56+/-0.46D for TCRP. Conclusion Corneal power measurements using SimK and EKR displayed comparable accuracy in IOL power calculation and postoperative refraction while TNP and TCRP were far away.

Bilateral cataract related to the use of methylphenidate in a 10-year-old girl

The purpose of the case report is to highlight the fact that the use of methylphenidate (MPH) treatment for attention deficit hyperactivity disorder (ADHD) causes bilateral cataracts. A 10-year-old girl was referred to us for blurred vision using MPH 30 mg/day for four years. A complete cataract in the right eye with a perception of light visual acuity (VA) and a posterior subcapsular cataract in the left eye with 6/20 VA were observed. After cataract surgery, VA was 20/20 in both eyes. Increasing norepinephrine and dopamine levels in the aqueous with the use of MPH may induce the inflammation that causes cataract.

Overcoming the challenges of cataract blindness in Nigeria: An action plan for ophthalmologists

Abstract Purpose: The purpose of this study was to explore the eye care provider factors responsible for low cataract surgical rates (CSRs) in Nigeria and to develop an action plan to boost the CSR. Methods: This was a cross-sectional survey of ophthalmologists practicing in Nigeria. An online questionnaire was distributed via E-mail and social media platforms to respondents. Data collected included sociodemographic characteristics, type, and location of the eye hospital where respondents practiced, cataract surgeries performed monthly, frequency and type of outreach activities by the eye hospitals, barriers to uptake of cataract surgery at the hospitals, and suggestions on measures to overcome such barriers. Statistical analysis was done using IBM-SPSS version 20, and the level of significance was P &lt; 0.05. Results: A total of 201 ophthalmologists responded to the survey. Majority (88.0%) were practicing in university or government hospitals while only 8 (4.0%) were working in mission hospitals. The average monthly cataract surgeries performed per hospital ranged from 0 to 600, with a median of 30 surgeries. Mission hospitals were more likely to perform ≥50 cataract surgeries per month compared to other hospitals (P = 0.003). Majority (75.1%) of hospitals organized outreach activities to identify cataract patients. Higher frequency of outreach activities (P = 0.028) and combining surgery with screening (P = 0.036) were associated with a higher likelihood that the cataract patients that were identified received surgery. Conclusion: The conduct of frequent outreach activities in which eye screening and cataract surgery are combined should boost CSRs and reduce the burden of cataract blindness in Nigeria.

A Case of Pituitary Rathke’s Cleft Cyst Associated with Decreased Visual Acuity after Cataract Surgery

Purpose: To report a case of suprasellar Rathke's cleft cyst accompanying visual field defect found in a patient complaining of decreased visual acuity after cataract surgery.Case Summary: A 62-year-old male patient who showed a best-corrected visual acuity (BCVA) of 0.6 after left eye cataract surgery visited our hospital two months after surgery with decreased vision. He showed a best corrected visual acuity of 0.2, did not have relative afferent pupillary defect, and there were no specific findings on fundus examination. In the full field perimetry test, partial visual field loss in superior temporal quadrants were found in both eyes, being more prominent in left eye. In ganglion cell layer measurements using optical coherence tomography, a symmetric thinning in the thickness of the nasal ganglion cell layer was observed in both eyes, which was consistent with the visual field test. It was discovered that a liquid solid mass with a diameter of 21 mm in the upper part of the pituitary gland was compressing the optic chiasm in orbit magnetic resonance imaging. The patient was then referred to neurosurgery for pituitary surgery using transsphenoidal approach and diagnosed with Rathke's cleft cyst on histopathologic examination. Three months after surgery, the BCVA has increased to 0.5 and the visual field test showed no scotoma.Conclusions: We report a case that Rathke's cleft cyst above the sella turcica inducing visual disturbances, emphasizing the importance of early detection and treatment through neuroophthalmological evaluation in a patient presenting with unexplained visual impairment.