Purpose To evaluate the interleukin (IL) 1β, IL-6 and prostaglandin E₂ (PGE₂) concentrations in aqueous humour in patients undergoing femtosecond laser-assisted cataract surgery. Methods In 27 eyes of 27 patients undergoing femtosecond laser-assisted cataract surgery (femto group), aqueous humour of 100 μL was collected after laser treatment. In 15 eyes of 15 subjects undergoing routine cataract surgery (control group), aqueous humour of 100 μL was also collected. The IL-1β, IL-6 and Prostaglandin E₂ (Human Interleukin 1β, Interleukin 6 and Prostaglandin E₂ ELISA Kits, Bio-Swamp Life Science) were used to determine the concentrations of IL-1β, IL-6 and PGE₂ in the aqueous humour. All patients were treated with non-steroidal anti-inflammatory drugs prior to surgery. Results For IL-1β, IL-6 and PGE₂, respectively, the mean concentration values in aqueous humour were 25.6, 24.6 and 64.2 pg/mL in the femto group, and 17.1, 15.2 and 45.7 pg/mL in the control group (table 2). Concentrations of IL-1β, IL-6 and PGE₂ were significantly higher in the femto group than those in the control group (all p0.05). Conclusions Inflammatory cytokines IL-1β, IL-6 and PGE₂ significantly increased after femtosecond laser-assisted cataract surgery, which maybe the cause of intraoperative miosis seen in these patients.

Background: Short video social media platforms play a crucial role in public health by effectively disseminating health information. Despite this, many educational videos on dry eye care have not received sufficient attention. This study aimed to conduct a comprehensive analysis and evaluate the quality of educational short videos on dry eye care available on TikTok.Methods: On August 30, 2024, the top 200 videos related to dry eye were viewed from the Chinese version of TikTok using the platform’s default ranking. The overall quality, reliability, comprehensibility, and applicability of the videos are systematically evaluated using the DISCERN and PEMAT-A/V assessment tools.Results: A total of 199 videos were included in the study and categorized based on account information: medical professional individual users, general professional individual users, for-profit organizations, non-profit organizations, and news organizations. Medical professionals were the predominant uploaders, contributing 81% of the videos. The overall misinformation rate was 2%. A majority of the videos (85.9%) addressed at least two aspects of dry eye, while only 14.1% covered three or more topics. The videos scored 22.4 ± 6.4 for reliability and 17.4 ± 6.2 for treatment options. Upon evaluation, the understandability and actionability of these videos were found to be 79.1% and 60.4%, respectively.Conclusion: TikTok holds significant potential for disseminating health information, primarily through content created by medical professionals. Currently, much of the content focuses on the symptoms and management of dry eye, with limited discussion on its definition, classification, and diagnosis. While most video content is reliable, there is a risk of incomplete or inaccurate information, these videos can serve as a reference. Therefore, the public should exercise caution when seeking information on dry eye through TikTok and individuals experiencing symptoms are advised to consult healthcare professionals for accurate diagnosis and treatment.

Background: To investigate the correlation between retinal vascular changes and ICA stenosis by measuring retinal vessels using full-width-at-half-maximum (FWHM) and intelligent image recognition.Methods: This research selected patients who were admitted to the Vascular Surgery Department of Quzhou People’s Hospital from January 2018 to December 2020 and were preparing for Carotid Artery Stenting (CAS). Participants were divided into two groups: without ICA stenosis (Group 0) and with ICA stenosis (Group 1). A total of 109 cases were included in the study, with 50 cases in Group 1 and 59 cases in Group 0. Vascular images of superior temporal zone B of the retina were obtained by spectral domain optical coherence tomography (SD-OCT). The edges of retinal vessels were identified by FWHM. Each vessel of all subjects was measured three times with the FWHM, and the average value was taken to obtain the retinal arteriolar lumen diameter (RALD), retinal arteriolar outer diameter (RAOD), retinal venular lumen diameter (RVLD), and retinal venular outer diameter (RVOD),Arterial Wall Thickness (AWT),Venular Wall Thickness (VWT)=(RVOD-RVLD)/2,Arteriovenous Ratio (AVR) = RAOD/RVOD.Results: We found that compared to Group 0, Group 1 had smaller RALD (P < 0.001) and RAOD (P < 0.001), and wider RVOD (P < 0.001), with thicker VWT (P < 0.001). When compared with the contralateral eye in Group 1, the ipsilateral eye exhibited even smaller RALD,RAOD and AVR (P < 0.001, P < 0.001, P < 0.001). After CAS, the RALD,RAOD and AVR in Group 1 increased (P < 0.001, P < 0.001, P < 0.001),while the RVLD and RVOD decreased (P < 0.05, P < 0.001). Our research reveals a significant correlation between retinal vascular changes and internal ICA stenosis.Conclusion: Utilizing SD-OCT in conjunction with the FWHM,we achieved a non-invasive, intelligent, stable, and precise acquisition of data pertaining to retinal vessels. These findings underscore a significant correlation between alterations in retinal vascular structure and the presence of ICA stenosis, as demonstrated by our research.

To evaluate the effectiveness of femtosecond laser penetrating corneal relaxing incisions (CRIs) in reducing corneal astigmatism during cataract surgery. Shanxi Eye Hospital, Taiyuan, Shanxi Province, China. Prospective case series. Using the Lensx laser, CRIs were placed at a diameter of 8.0 mm with a depth of 90%. Corneal astigmatism was measured before surgery and 1 and 3 months after surgery. Vector analyses were performed. To obtain the net corneal changes, the with-the-wound (WTR) and against-the-wound (ATR) changes were calculated along the meridian of the CRI. Multiple regression analysis with generalized estimating equations was used to evaluate the factors contributing to the effectiveness of CRIs. The study comprised 51 eyes. One and 3 months postoperatively, respectively, the mean keratometric astigmatism was reduced significantly by 0.65 diopter (D) and 0.67 D (both P < .05); compared with preoperative corneal astigmatism, the percentage of eyes within ±0.50 D of refractive astigmatism significantly increased by 42.6% and 46.7% (both P < .05) and the mean refractive astigmatism was significantly decreased at 1 month (0.27 @ 93 versus 0.17 × 17) (P < .05) but not at 3 months (0.09 @ 138 versus 0.07 × 172) (P > .05). The mean WTW and ATW changes were -1.05 D and -1.00 D, respectively, and 14.9% and 6.7% of eyes, respectively, were overcorrected. Age, CRI length, and CRI location were factors contributing to net corneal changes. A nomogram is proposed. Femtosecond laser CRIs were effective in reducing corneal astigmatism during cataract surgery, and their long-term effectiveness should be evaluated. Dr. Koch is a consultant to Abbott Medical Optics, Inc., Alcon Laboratories, Inc., and Revision Optics, Inc. None of the other authors has a financial or proprietary interest in any material or method mentioned.

Cataract causes more than half of all blindness worldwide. The most effective treatment is surgery, where cataract is often replaced by intraocular lens (IOL). Beyond saving vision, toric IOL implantation is becoming increasingly popular to correct corneal astigmatism. It is important to precisely position and align the axis of IOL during surgery to achieve optimal post-operative astigmatism correction. Comparing with conventional manual marking, automated markerless IOL alignment can be faster, more accurate and non-invasive. Here we propose a framework for computer-assisted intraoperative IOL positioning and alignment based on detection and tracking. Firstly, the iris boundary was segmented and the eye center was determined. A statistical sampling method was developed to segment iris and generate training labels, and both conventional algorithms and deep convolutional neural network (CNN) methods were evaluated. Then, regions of interests (ROIs) containing high density of scleral capillaries were used for tracking eye rotations. Both correlation filter and CNN methods were evaluated for tracking. Cumulative errors during long-term tracking were corrected using a reference image. Validation studies against manual labeling using 7 clinical cataract surgical videos demonstrated that the proposed algorithm achieved an average position error around 0.2 mm, an axis alignment error of < 1 $^{\circ}$ , and a frame rate of > 25 FPS, and can be potentially used intraoperatively for markerless IOL positioning and alignment during cataract surgery.

Background: Virtual reality (VR), widely used in the medical field, may affect future medical training and treatment. Therefore, this study examined VR’s potential uses and research directions in medicine. Methods: Citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate VR in medicine in articles published between 1 January 2012 and 31 December 2023. These data were analyzed using CiteSpace 6.2. R2 software. Present limitations and future opportunities were summarized based on the data. Results: A total of 2143 related publications from 86 countries and regions were analyzed. The country with the highest number of publications is the USA, with 461 articles. The University of London has the most publications among institutions, with 43 articles. The burst keywords represent the research frontier from 2020 to 2023, such as “task analysis”, “deep learning”, and “machine learning”. Conclusion: The number of publications on VR applications in the medical field has been steadily increasing year by year. The USA is the leading country in this area, while the University of London stands out as the most published, and most influential institution. Currently, there is a strong focus on integrating VR and AI to address complex issues such as medical education and training, rehabilitation, and surgical navigation. Looking ahead, the future trend involves integrating VR, augmented reality (AR), and mixed reality (MR) with the Internet of Things (IoT), wireless sensor networks (WSNs), big data analysis (BDA), and cloud computing (CC) technologies to develop intelligent healthcare systems within hospitals or medical centers.