OBJECTIVE: To review long-term outcomes of circumscribed choroidal hemangioma (CCH).
METHODS: Hospital charts of all CCH cases diagnosed from 2008 to 2019 were retrospectively reviewed.
RESULTS: All 172 patients were managed with either observation, transpupillary thermotherapy, argon laser photocoagulation, photodynamic therapy, plaque brachytherapy or stereotactic radiosurgery. The most common 3 modes of management were clinical observation (30.2%), transpupillary thermotherapy (52.9%) and argon laser photocoagulation (8.7%). Median follow-up time was 10 months (range: 3, 160). Anatomical outcomes were stable in 87.1% of observation group and improved in 60.5% of thermotherapy group. Quantified optical coherence tomography angiography findings showed statistical differences in vascular and perfusion densities in fellow eyes of hemangioma patients.
CONCLUSIONS: Circumscribed choroidal hemangioma can be treated in various ways. Transpupillary thermotherapy is an anatomically effective treatment in selected cases. The diagnosis of CCH may have vascular implications in fellow eyes of the patients.

Fundus imaging plays a pivotal role in diagnosing retinal and choroidal diseases. Optical coherence tomography angiography (OCTA), by capturing signals to reconstruct vascular structures, offers a clear depiction of retinal vasculature with notable advantages such as rapid scanning and non-invasiveness. Although OCTA, due to its underlying principles, cannot dynamically assess vascular function, exploring its future applications and potential to eventually replace traditional fundus angiography remains a key focus in the medical community. OCTA provides multiple parameters that conventional fundus angiography cannot obtain. With the expanding coverage area of OCTA scans and improvements in artifact elimination, the detection rate of various retinal and choroidal diseases has significantly increased, making the widespread clinical application of OCTA an inevitable trend. Although ultra-widefield OCTA cannot yet fully replace angiography in clinical practice, with continued clinical practice, expanded clinical research, and ongoing technological innovation, OCTA is expected to gradually replace fundus angiography in the future.
眼底影像学在视网膜和脉络膜疾病的诊断中发挥着关键作用。相干光层析血管成像术（OCTA）通过采集信号重建血管结构，能够清晰地展示视网膜血管情况，具备扫描速度快和无创性等显著优势。尽管由于检测原理限制，OCTA无法动态评估血管功能，但探讨OCTA未来应用的发展趋势及其是否能最终替代眼底血管造影术，仍是当前医学界关注的焦点。OCTA因其能够提供传统眼底血管造影术无法获取的多种参数，且随着OCTA检查结果眼底覆盖面积的扩大及伪影消除能力的提升，其在多种视网膜和脉络膜疾病的识别率已显著提高，OCTA在临床上的广泛应用已是大势所趋。尽管目前超广角OCTA在临床应用中还不能全面替代血管造影术，但随着临床实践的深入、临床研究的扩展以及技术的持续创新，OCTA在未来有望逐步替代眼底血管造影术。.

Artificial intelligence (AI) has demonstrated revolutionary potential and wide-ranging applications in the comprehensive management of fundus diseases, yet it faces challenges in clinical translation, data quality, algorithm interpretability, and cross-cultural adaptability. AI has proven effective in the efficient screening, accurate diagnosis, personalized treatment recommendations, and prognosis prediction for conditions such as diabetic retinopathy, age-related macular degeneration, and other fundus diseases. However, there is a significant gap between the need for large-scale, high-quality, and diverse datasets and the limitations of current research data. Additionally, the black-box nature of AI algorithms, the acceptance by clinicians and patients, and the generalizability of these algorithms pose barriers to their widespread clinical adoption. Researchers are addressing these challenges through approaches such as federated learning, standardized data collection, and prospective trials to enhance the robustness, interpretability, and practicality of AI systems. Despite these obstacles, the benefits of AI in fundus disease management are substantial. These include improved screening efficiency, support for personalized treatment, the discovery of novel disease characteristics, and the development of precise treatment strategies. Moreover, AI facilitates the advancement of telemedicine through 5G and the Internet of Things. Future research should continue to tackle existing issues, fully leverage the potential of AI in the prevention and treatment of fundus diseases, and advance intelligent, precise, and remote ophthalmic services to meet global eye health needs.
人工智能（AI）在眼底病全程管理中展现出革新价值与广泛应用潜力，但也面临临床转化、数据质量、算法解释性、跨文化适应性等挑战。AI在糖尿病视网膜病变、年龄相关性黄斑变性等眼底病中，实现高效筛查、精确诊断、个性化治疗建议及预后预测。然而，AI对大规模、高质量、多样化的数据集需求与现有研究数据局限性之间的矛盾，以及黑箱模型的可解释性问题、医生与患者接受度、算法普适性等挑战，阻碍了其在眼科临床的广泛普及。为应对这些挑战，研究者们正探索采用联邦学习、标准化数据收集、前瞻性试验等方法，提升AI系统的稳健性、可解释性和实用性。尽管存在挑战，AI在眼底病管理中的优势显著，包括提升筛查效率、辅助个性化治疗、揭示疾病新特征及制定精准治疗策略，并通过5G、物联网等技术推动远程医疗发展。未来研究应继续解决现存问题，充分发挥AI在眼底病防治中的潜力，推动眼科服务迈向智能化、精准化、远程化，以满足全球眼健康需求。.

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UNASSIGNED: To evaluate the relationships among morphology, fundus autofluorescence (FAF), and retinal sensitivity of photocoagulated lesions more than 1 year after panretinal photocoagulation in patients with proliferative diabetic retinopathy and good vision.
UNASSIGNED: This retrospective cohort study included patients with proliferative diabetic retinopathy who had undergone panretinal photocoagulation more than 1 year ago. The photocoagulated lesions were classified according to FAF levels: group A, no FAF; group B, diffuse FAF; group C, white-dotted centers with diffuse FAF; group D, white-dotted centers without FAF; and group E, controls. The main outcome measures were FAF, retinal sensitivity, and morphology of the photocoagulated lesions.
UNASSIGNED: The median sensitivity values and number of photocoagulated lesions in groups A (n = 37), B (n = 39), C (n = 4), D (n = 15), and E (n = 39) were 0 dB, 18.0 dB, 13.9 dB, 0.3 dB, and 21.5 dB, respectively. EZ lines were absent in 93.5%, 18.1%, 50%, 93.3%, and 0% of lesions in groups A, B, C, D, and E, respectively. The inner retinal layer was damaged in 45.2%, 3.0%, 50%, 73.3%, and 0% lesions in groups A, B, C, D, and E, respectively. Statistically significant between-group differences were observed in the retinal sensitivities of the photocoagulated lesions, presence of EZ lines, and damage to the inner retinal layer (p < 0.05).
UNASSIGNED: The photoreceptors in most photocoagulated lesions with diffuse FAF retain their morphology and function.
UNASSIGNED: Using fundus autofluorescence, the damage to photoreceptors after panretinal photocoagulation in patients with diabetes can be estimated in a noninvasive manner. This process can help in determining the need for additional panretinal photocoagulation.

BACKGROUND: Glaucoma is a worldwide eye disease that can cause irreversible vision loss. Early detection of glaucoma is important to reduce vision loss, and retinal fundus image examination is one of the most commonly used solutions for glaucoma diagnosis due to its low cost. Clinically, the cup-disc ratio of fundus images is an important indicator for glaucoma diagnosis. In recent years, there have been an increasing number of algorithms for segmentation and recognition of the optic disc (OD) and optic cup (OC), but these algorithms generally have poor universality, segmentation performance, and segmentation accuracy.
METHODS: By improving the YOLOv8 algorithm for segmentation of OD and OC. Firstly, a set of algorithms was designed to adapt the REFUGE dataset\'s result images to the input format of the YOLOv8 algorithm. Secondly, in order to improve segmentation performance, the network structure of YOLOv8 was improved, including adding a ROI (Region of Interest) module, modifying the bounding box regression loss function from CIOU to Focal-EIoU. Finally, by training and testing the REFUGE dataset, the improved YOLOv8 algorithm was evaluated.
RESULTS: The experimental results show that the improved YOLOv8 algorithm achieves good segmentation performance on the REFUGE dataset. In the OD and OC segmentation tests, the F1 score is 0.999.
CONCLUSIONS: We improved the YOLOv8 algorithm and applied the improved model to the segmentation task of OD and OC in fundus images. The results show that our improved model is far superior to the mainstream U-Net model in terms of training speed, segmentation performance, and segmentation accuracy.

UNASSIGNED: Yasunari nodules are choroidal lesions observed in patients diagnosed with neurofibromatosis type 1 (NF-1) and characterized by relatively irregular dome-shaped, plaque-like, or patchy boundaries. The present study examines the multimodal imaging characteristics of Yasunari nodules and their value in the diagnosis of NF-1.
UNASSIGNED: Medical records including optical coherence tomography (OCT), enhanced depth imaging OCT, infrared reflectance (IR) imaging, OCT angiography, and color fundus images of NF-1 patients who were examined at the Department of Ophthalmology in Dokuz Eylül University Faculty of Medicine between January 2022 and December 2023 were retrospectively reviewed for the presence of Yasunari nodules.
UNASSIGNED: A total of 54 eyes of 27 patients were included in the study. At least one choroidal nodule was detected on IR imaging in 52 eyes (96.3%). In 31 (72.1%) of the 43 eyes (79.6%) with available high-quality OCT angiography images, choroidal nodules were observed as areas showing a flow deficit in the choriocapillaris layer. Of the total 54 eyes included, Lisch nodules without choroidal nodules were observed in 2 eyes (3.7%). In 16 eyes (29.6%), Lisch nodules were not detected despite the presence of choroidal nodules. Both Lisch nodules and choroidal nodules were detected in the other 36 eyes (66.7%).
UNASSIGNED: Yasunari nodules are frequently observed in NF-1 cases and can be easily detected with multimodal imaging techniques, especially IR imaging. The ability to visualize choroidal nodules before the appearance of Lisch nodules demonstrates the importance of Yasunari nodules in the diagnosis of NF-1.

UNASSIGNED: This study investigated the distribution of fundus tessellation density (FTD) in a Chinese pediatric population and its potential in reflecting early myopic maculopathy (tessellated fundus).
UNASSIGNED: Participants were enrolled from kindergartens, primary schools, and middle schools, with cluster sampling in Shanghai, China. A series of ophthalmic examinations was conducted. Based on fundus photograph, FTD was quantitatively assessed using an artificial intelligence algorithm, and tessellated fundus was diagnosed by well-trained ophthalmologists.
UNASSIGNED: A total of 14,234 participants aged four to 18 years were included, with 7421 boys (52.1%). Tessellated fundus was observed in 2200 (15.5%) participants. The median of FTD was 0.86% (range 0.0-42.1%). FTD increased with age and axial length. In the logistics regression, larger FTD was independently associated with tessellated fundus (P < 0.001). The area under curves of receiver operating characteristic curve for categorizing tessellated fundus using FTD was 0.774, and the cutoff point of FTD was 2.22%.
UNASSIGNED: The density of fundus tessellation was consistent with the severity of myopia. FTD could help diagnose the early stage of myopic maculopathy, tessellated fundus, providing a new pattern for myopia screening and detection of early myopic fundus changes.
UNASSIGNED: Quantification of fundus tessellation with artificial intelligence could help detect early myopic maculopathy.