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Objective: This study aimed to evaluate the effectiveness of a visual rehabilitation method for anisometropic amblyopia that uses visual evoked potential (VEP) parameters and sound biofeedback to increase objectiveness. Design: an observational, case-controlled trial. Setting: Ophthalmology Clinic, Emergency County Hospital, Cluj-Napoca, Romania. Participants: Sixteen subjects with amblyopic anisometropia, aged 15–57, and sixteen controls, aged 24–33, were included. Interventions: Subjects were divided into two groups. The control group, composed of normal-vision subjects, and the amblyopic group received 10 training sessions. The rehabilitation program lasted 10 min, took place twice a week, and ran over five consecutive weeks. During each session, the subjects were asked to fixate on a target on the computer screen and were instructed to keep the fixation and maintain the sound of the biofeedback at high frequency. Main Measures: The study assessed the main visual parameters at baseline, after 10 sessions, and 1, 3, 6, and 12 months after treatment. Performance was evaluated by measuring visual acuity, contrast sensitivity, and reading velocity (words/minute). Results: In the experimental group, mean BCVA improved with two rows, which means an improvement in the LogMARLogMAR scale with an average of nine letters. These values tended to be maintained over time. Both groups showed better reading velocities after training, but this parameter has undergone large variability during follow-ups. Contrast sensitivity was also improved and stable. Conclusions: Visual rehabilitation with the Retimax Vision Trainer can improve visual performance in patients with amblyopia after the critical period, an improvement that is maintained in most cases for at least one year after treatment. [ABSTRACT FROM AUTHOR]

Patient compliance in chronic illnesses is essential for disease management. This also applies to age-related macular degeneration (AMD), a chronic acquired retinal degeneration that needs constant monitoring and patient cooperation. Therefore, patients with AMD can benefit by being properly informed about their disease, regardless of the condition's stage. Information is essential in keeping them compliant with lifestyle changes, regular monitoring, and treatment. Large language models have shown potential in numerous fields, including medicine, with remarkable use cases. In this paper, we wanted to assess the capacity of two large language models (LLMs), ChatGPT4 and PaLM2, to offer advice to questions frequently asked by patients with AMD. After searching on AMD-patient-dedicated websites for frequently asked questions, we curated and selected a number of 143 questions. The questions were then transformed into scenarios that were answered by ChatGPT4, PaLM2, and three ophthalmologists. Afterwards, the answers provided by the two LLMs to a set of 133 questions were evaluated by two ophthalmologists, who graded each answer on a five-point Likert scale. The models were evaluated based on six qualitative criteria: ( C 1 ) reflects clinical and scientific consensus, ( C 2 ) likelihood of possible harm, ( C 3 ) evidence of correct reasoning, ( C 4 ) evidence of correct comprehension, ( C 5 ) evidence of correct retrieval, and ( C 6 ) missing content. Out of 133 questions, ChatGPT4 received a score of five from both reviewers to 118 questions (88.72%) for C 1 , to 130 (97.74%) for C 2 , to 131 (98.50%) for C 3 , to 133 (100%) for C 4 , to 132 (99.25%) for C 5 , and to 122 (91.73%) for C 6 , while PaLM2 to 81 questions (60.90%) for C 1 , to 114 (85.71%) for C 2 , to 115 (86.47%) for C 3 , to 124 (93.23%) for C 4 , to 113 (84.97%) for C 5 , and to 93 (69.92%) for C 6 . Despite the overall high performance, there were answers that are incomplete or inaccurate, and the paper explores the type of errors produced by these LLMs. Our study reveals that ChatGPT4 and PaLM2 are valuable instruments for patient information and education; however, since there are still some limitations to these models, for proper information, they should be used in addition to the advice provided by the physicians. [ABSTRACT FROM AUTHOR]

(1) Background: Diabetes mellitus (DM) is a growing challenge, both for patients and physicians, in order to control the impact on health and prevent complications. Millions of patients with diabetes require medical attention, which generates problems regarding the limited time for screening but also addressability difficulties for consultation and management. As a result, screening programs for vision-threatening complications due to DM have to be more efficient in the future in order to cope with such a great healthcare burden. Diabetic macular edema (DME) is a severe complication of DM that can be prevented if it is timely screened with the help of optical coherence tomography (OCT) devices. Newly developing state-of-the-art artificial intelligence (AI) algorithms can assist physicians in analyzing large datasets and flag potential risks. By using AI algorithms in order to process OCT images of large populations, the screening capacity and speed can be increased so that patients can be timely treated. This quick response gives the physicians a chance to intervene and prevent disability. (2) Methods: This study evaluated ConvNeXt and EfficientNet architectures in correctly identifying DME patterns on real-life OCT images for screening purposes. (3) Results: Firstly, we obtained models that differentiate between diabetic retinopathy (DR) and healthy scans with an accuracy of 0.98. Secondly, we obtained a model that can indicate the presence of edema, detachment of the subfoveolar neurosensory retina, and hyperreflective foci (HF) without using pixel level annotation. Lastly, we analyzed the extent to which the pretrained weights on natural images "understand" OCT scans. (4) Conclusions: Pretrained networks such as ConvNeXt or EfficientNet correctly identify features relevant to the differentiation between healthy retinas and DR, even though they were pretrained on natural images. Another important aspect of our research is that the differentiation between biomarkers and their localization can be obtained even without pixel-level annotation. The "three biomarkers model" is able to identify obvious subfoveal neurosensory detachments, retinal edema, and hyperreflective foci, as well as very small subfoveal detachments. In conclusion, our study points out the possible usefulness of AI-assisted diagnosis of DME for lowering healthcare costs, increasing the quality of life of patients with diabetes, and reducing the waiting time until an appropriate ophthalmological consultation and treatment can be performed. [ABSTRACT FROM AUTHOR]

The era of artificial intelligence (AI) has revolutionized our daily lives and AI has become a powerful force that is gradually transforming the field of medicine. Ophthalmology sits at the forefront of this transformation thanks to the effortless acquisition of an abundance of imaging modalities. There has been tremendous work in the field of AI for retinal diseases, with age-related macular degeneration being at the top of the most studied conditions. The purpose of the current systematic review was to identify and evaluate, in terms of strengths and limitations, the articles that apply AI to optical coherence tomography (OCT) images in order to predict the future evolution of age-related macular degeneration (AMD) during its natural history and after treatment in terms of OCT morphological structure and visual function. After a thorough search through seven databases up to 1 January 2022 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 1800 records were identified. After screening, 48 articles were selected for full-text retrieval and 19 articles were finally included. From these 19 articles, 4 articles concentrated on predicting the anti-VEGF requirement in neovascular AMD (nAMD), 4 articles focused on predicting anti-VEGF efficacy in nAMD patients, 3 articles predicted the conversion from early or intermediate AMD (iAMD) to nAMD, 1 article predicted the conversion from iAMD to geographic atrophy (GA), 1 article predicted the conversion from iAMD to both nAMD and GA, 3 articles predicted the future growth of GA and 3 articles predicted the future outcome for visual acuity (VA) after anti-VEGF treatment in nAMD patients. Since using AI methods to predict future changes in AMD is only in its initial phase, a systematic review provides the opportunity of setting the context of previous work in this area and can present a starting point for future research. [ABSTRACT FROM AUTHOR]

Acquired vitelliform lesions (AVLs) are associated with a large spectrum of retinal diseases, among which is age-related macular degeneration (AMD). The purpose of this study was to characterize AVLs' evolution in AMD patients using optical coherence tomography (OCT) technology and ImageJ software. We measured AVLs' size and density and followed their impacts over surrounding retinal layers. Average retinal pigment epithelium (RPE) thickness in the central 1 mm quadrant (45.89 ± 27.84 µm vs. 15.57 ± 1.40 µm) was significantly increased, as opposed to the outer nuclear layer (ONL) thickness, which was decreased (77.94 ± 18.30 µm vs. 88.64 ± 7.65 µm) in the vitelliform group compared to the control group. We found a continuous external limiting membrane (ELM) in 55.5% of the eyes compared to a continuous ellipsoid zone (EZ) in 22.2% of the eyes in the vitelliform group. The difference between the mean AVLs' volume at baseline compared to the last visit for the nine eyes with ophthalmologic follow-up was not statistically significant (p = 0.725). The median follow-up duration was 11 months (range 5–56 months). Seven eyes (43.75%) were treated with intravitreal anti-vascular endothelium growth factor (anti-VEGF) agent injections, in which we noted a 6.43 ± 9 letter decrease in the best-corrected visual acuity (BCVA). The increased RPE thickness could suggest hyperplasia contrary to the decreased ONL, which could mirror the impact of the vitelliform lesion on photoreceptors (PR). Eyes that received anti-VEGF injections did not show signs of improvement regarding BCVA. [ABSTRACT FROM AUTHOR]

Background: Glaucoma causes global blindness and impaired vision, with treatment aiming to reduce intraocular pressure (IOP) to preserve the visual field. Selective laser trabeculoplasty (SLT) is a non-invasive laser procedure improving eye fluid drainage. Objective: The aim of this review is to evaluate the potential benefits of SLT in comparison with current medication. This therapy can provide longer-lasting reduction in IOP and may be more cost-effective in the long term. Material and methods: This review selected articles included in the PubMed database that compared laser trabeculoplasty and medication from different perspectives: therapeutical and financial. The phrases used in the search were,,laser trabeculoplasty",,medication" and,,comparison". Included articles were mainly randomized clinical trials (RCT) but there was one cross-sectional and one retrospective study. The clinical trials included evaluated therapeutical success, which was defined by lowering the IOP (and therefore the risk of needing medication or even trabeculectomy) or by health-related quality of life. Studies comparing different types of laser trabeculoplasty were not included. Bias risk was not assessed and data were extracted using a standardized abstraction form. Results : A total of 1435 patients were identified in 13 studies, of which 2 are still ongoing. Gazzard et al (2023) observed a significant reduction in disease progression for SLT: 26.8% of patients treated with medication exhibited disease progression, compared to 19.6% of patients treated with SLT (p=0.006). Trabeculectomy was required in 32 eyes in the eye drops group, compared to 13 eyes in the SLT group (p<0.001). Also, SLT proved to be more cost-effective: patients ended up saving about 500£ in a threeyear span. Lee et al (2014) also concluded that patients treated with SLT had a lower IOP (p=0.03) and required fewer medications. Ang et al (2020) reported a significant improvement in the patient's quality of life regarding social well-being. On the other side, Narayanaswamy et al (2015) reported complete success in fewer eyes treated with SLT (60%) compared to prostaglandin analog (PGA-84%), with statistical significance (p=0.008). Also, additional medications were required in 22% of the patients treated with SLT, compared to 8% treated with PGA (p=0.05). Conclusions: Although some studies prove otherwise, in most of the studies laser trabeculoplasty appears to provide better outcomes for patients with glaucoma, both from a therapeutical and a financial standpoint. However, each study had a different definition of therapeutical success, which made it difficult to compare the results and further investigation is still needed. [ABSTRACT FROM AUTHOR]

Background: Physical activity is nowadays recognized as a protective factor against cardiovascular conditions, being cost-effective and easy to implement. Through its positive effects on hemodynamic and oxidative stress, different intensities in daily physical activity could influence diabetic macular edema (DME) in type 1 Diabetes Mellitus (DM). Methods: With the help of a spectral domain optical coherence tomography (OCT) device, we studied the macular thickness and ETDRS map parameters in type 1 DM patients who were classified into two groups: low and moderate intensity routine physical activity status, using the international physical activity questionnaire (IPAQ). All subjects received comparable anti-VEGF treatment. Results: Having a long disease evolution, patients with type 1 DM (T1DM) with moderate physical activity displayed better OCT measurements in specific retinal sectors than their counterparts with low physical activity. Variables such as age and body mass index (BMI) can influence the level of physical activity in T1DM patients. Conclusions: This study showed a lower prevalence of DME in T1DM subjects with moderate physical activity levels, revealing lower values for ETDRS OCT parameters in specific retinal sectors. The macular volumes (mm3) were significantly lower in the right eye for this group of subjects. Abbreviations: BMI = body mass index, CMT = central macular thickness, DM = diabetes mellitus, DME = diabetic macular edema, DR = diabetic retinopathy, FT = foveal thickness, II = inferior inner thickness, IO = inferior outer thickness, IPAQ = international physical activity questionnaire, LE = left eye, OCT = optical coherence tomography, MMT = maximal macular thickness, mMT = minimal macular thickness, MV = macular volume, NI = nasal inner thickness, NO = nasal outer thickness, QoL = quality of life, RE = right eye, SI = superior inner thickness, SO = superior outer thickness, T1DM = type 1 diabetes mellitus, T2DM = type 2 diabetes mellitus, TI = temporal inner thickness, TO = temporal outer thickness., (#x00A9; The Authors.Romanian Society of Ophthalmology.)

Purpose: We aimed to evaluate the factors influencing the visual gain following pars plana vitrectomy for vitreous hemorrhage in patients with proliferative diabetic retinopathy., Methods: A retrospective study was conducted on 172 eyes of 143 consecutive patients with diabetes mellitus between January 2012 and January 2018. Demographic data, ophthalmological findings, surgery details, and visual outcomes were gathered after consulting the patients' records. The main outcome measured was the improvement of best corrected visual acuity and the secondary outcomes measured were rebleeding and complications., Results: Best corrected visual acuity improved in 103 eyes (59.88%), worsened in 45 eyes (26.16%), and remained unchanged in 24 eyes (13.95%). Type 2 diabetes mellitus was significantly associated with better final best corrected visual acuity (p=0.0244). Previous treatment by pan-retinal laser photocoagulation or intravitreal bevacizumab determined better final best corrected visual acuity, but not significantly (p>0.05). Preoperative rubeosis iridis and neovascular glaucoma did not influence the outcomes. The lack of fibrovascular proliferation requiring dissection was a significant factor for better final best corrected visual acuity (p=0.0006). Rebleeding occurred in 37.1% of the eyes and it was not influenced by the antiplatelet drugs (p>0.05). Postoperative neovascular glaucoma was a negative prognostic factor (p=0.0037)., Conclusion: The final best corrected visual acuity was influenced positively by type 2 diabetes mellitus and the absence of preoperative extensive fibrovascular proliferation and negatively by postoperative neovascular glaucoma.

Being a highly prevalent neurodegenerative disorder worldwide, Parkinson's disease (PD) shows its complexity not only in the variability of its pathology, but also in the complex constellation of its clinical picture. PD does not affect only the nervous system; instead, it is today recognized as having both motor and non-motor features. The purpose of this article is to report up-to-date information of an ongoing study, which correlates the motor features of Parkinson's disease (PD) with the visual disturbances (non-motor features) related to this disease. Abbreviations: PD = Parkinson's disease, HY = Hoehn-Yahr scale, MMSE = Mini-Mental state exam, UPDRS = Unified Parkinson's disease rating scale, RE = right eye, LE = left eye., (© The Authors.Romanian Society of Ophthalmology.)

Background: Conjunctival pigmented neoplasia can be benign, premalignant or malignant tumors. Our study aims to establish the epidemiological, gross morphological and immunohistopathological features of the conjunctival pigmented lesions in pediatric and adolescent patients (<18 years), to establish an accurate diagnosis., Patients, Material and Methods: This is a retrospective case series study conducted within two Ophthalmology Clinics from Iaşi, Romania, on seven pediatric and adolescent patients. Using the Clinical Observation Chart and the Pathology Registers over a six-years period (January 2015-December 2021), we noted the patients' demographic data, clinical data, and ophthalmological investigations of the lesion, as well as the type of their treatment. All histological sections stained with Hematoxylin-Eosin (HE) and with five antibodies [pan-cytokeratin (pan-CK) AE1∕AE3, S100 protein, Melan A, human melanoma black 45 (HMB45), and Ki67] were re-examined by four pathologists for each case, to identify the type of the conjunctival lesion and its histological and immunohistochemical features., Results: The mean age of all patients was 10.28 years, and the female∕male ratio was 1.3. Right eye was more often affected (71.42%). 71.42% of cases presented an elevated lesion, 57.14% of cases showed a lightly pigmented lesion, but 14.28% of cases exhibited a pink lesion and this feature described the inflamed juvenile conjunctival nevus. In all cases (100%) the conjunctival pigmented tumor was removed with safety margins. The microscopic examination revealed a compound melanocytic nevus in 57.14% cases, a junctional conjunctival nevus in 14.28% cases, an inflamed juvenile nevus in 14.28% cases, and a conjunctival melanoma arising from a pre-existing nevus in 14.28% cases. In all cases of nevi, the nevoid melanocytes showed strong immunopositivity for Melan A and S100 protein, variable and weak immunopositivity for HMB45, and a mean Ki67 labeling index of 1.71%. Conjunctival melanoma revealed strong immunopositivity of tumor cells for HMB45, Melan A and S100 protein, and a Ki67 labeling index of 20%. In all cases, the conjunctival epithelium showed strong immunopositivity for pan-CK AE1∕AE3. All our cases (100%) had a favorable outcome after the surgical removal of the tumor., Conclusions: Any excision of a conjunctival pigmented lesion must be subject to a systematic immunohistopathological examination, and there is a set of antibodies (anti-HMB45 and anti-Ki67) that are useful for differential diagnosis between a conjunctival nevus and a conjunctival melanoma.

There are numerous articles on the discovery of this arterial polygon, its history being quite long, beginning with the Antiquity and up to the Modern Era. Making an analysis of the primary and secondary sources on this topic, the purpose of this article is to identify the significant moments of the discovery of this arterial polygon, which is an anatomical structure with great importance for neurologists and neurosurgeons. We will present the contributions to this topic from Renaissance and early Modern Era anatomists, such as Andreas Vesalius, Jean Fernel, Gabriel Fallopius, Giulio Cesare Casseri, Adriaan van den Spiegel, Johann Vesling, and Johann Jakob Wepfer von Schaffhausen. We also pointed out that the contribution of the famous British anatomist Sir Thomas Willis (1621-1675) was the most important one. He published De Cerebri Anatome, in 1664, in which he described the vascular arrangement laying at the base of the brain, accompanying it by the exquisite drawings of Christopher Wren. Thus, he demonstrated to the medical world that he had reached the greatest understanding of the structure and function of the circular arterial anastomosis. For this excellent discovery, his followers honored him by giving his name to this arterial circle.

Aim: To apply the multifractal analysis method as a quantitative approach to a comprehensive description of the microvascular network architecture of the normal human retina., Methods: Fifty volunteers were enrolled in this study in the Ophthalmological Clinic of Cluj-Napoca, Romania, between January 2012 and January 2014. A set of 100 segmented and skeletonised human retinal images, corresponding to normal states of the retina were studied. An automatic unsupervised method for retinal vessel segmentation was applied before multifractal analysis. The multifractal analysis of digital retinal images was made with computer algorithms, applying the standard box-counting method. Statistical analyses were performed using the GraphPad InStat software., Results: The architecture of normal human retinal microvascular network was able to be described using the multifractal geometry. The average of generalized dimensions ( D q ) for q =0, 1, 2, the width of the multifractal spectrum ( Δα=α max - α min ) and the spectrum arms' heights difference ( |Δf| ) of the normal images were expressed as mean±standard deviation (SD): for segmented versions, D 0 =1.7014±0.0057; D 1 =1.6507±0.0058; D 2 =1.5772±0.0059; Δα =0.92441±0.0085; |Δf| = 0.1453±0.0051; for skeletonised versions, D 0 =1.6303±0.0051; D 1 =1.6012±0.0059; D 2 =1.5531±0.0058; Δα =0.65032±0.0162; |Δf| = 0.0238±0.0161. The average of generalized dimensions ( D q ) for q =0, 1, 2, the width of the multifractal spectrum ( Δα ) and the spectrum arms' heights difference ( |Δf| ) of the segmented versions was slightly greater than the skeletonised versions., Conclusion: The multifractal analysis of fundus photographs may be used as a quantitative parameter for the evaluation of the complex three-dimensional structure of the retinal microvasculature as a potential marker for early detection of topological changes associated with retinal diseases.