综述

人工智能在眼底病中的应用

Application of artificial intelligence in ocular fundus diseases

:200-207
 
人工智能是对人类智能的模拟和拓展。基于深度学习的人工智能可以很好地利用图像的内在特征,如轮廓、框架等,来分析图像。研究人员通常利用图像来诊断眼底病,因此将人工智能应用于眼底检查是有意义的。在眼科领域,人工智能通过分析光学相干断层扫描图像、眼底照片和超宽视野图像,已经在检测多种眼底疾病上取得了类似医生的性能。它也已经被广泛应用于疾病进展预测。然而,人工智能在眼科的应用也存在一些潜在的挑战,黑盒问题是其中之一。研究人员致力于开发更多的可解释的深度学习系统,并确认其临床可行性。人工智能在最流行的眼底病中的最新应用、可能遇到的挑战以及未来的道路将一一阐述。
Artificial intelligence (AI) is about simulating and expanding human intelligence. AI based on deep learning (DL) can analyze images well by using their inherent features, such as outlines, frames and so on. As researchers generally diagnoses ocular fundus diseases by images, it makes sense to apply AI to fundus examination. In ophthalmology, AI has achieved doctor-like performance in detecting multiple ocular fundus diseases through optical coherence tomography (OCT) images, fundus photographs, and ultra-wide-field (UWF) images. It has also been widely used in disease progression prediction. Nonetheless, there are also some potential challenges with AI application in ophthalmology, one of which is the black-box problem. Researchers are devoted to developing more interpretable deep learning systems (DLS) and confirming their clinical feasibility. This review describes a summary of the state-of-the-art AI application in the most popular ocular fundus diseases, potential challenges and the path forward.
综述

基于 en face OCT 的视网膜前巨噬细胞样细胞在眼底病中的研究进展

Research progress in epiretinal macrophage-like cells characterized by en face OCT in ocular fundus diseases

:202-207
 
巨噬细胞样细胞(macrophage-like cells, MLC)指起源、功能与巨噬细胞类似的免疫细胞,包括小胶质细胞、玻璃体细胞及巨噬细胞。将en face OCT显示层面设置在视网膜表明即可观测到视网膜表明的 MLC(epiretinal MLC, eMLC),随后利用ImageJ软件即可对细胞进行提取和量化。研究表明,eMLC在炎症情况下均可出现细胞募集及活化现象,但在不同眼底病中各具特点。在糖尿病视网膜病变、视网膜静脉阻塞等视网膜缺血缺氧性疾病中,eMLC密度越高,黄斑水肿可能越严重。此外,eMLC密度更高的视网膜静脉阻塞患者抗VEGF疗效更差,视力预后不佳,提示基于en face OCT的eMLC不仅可用于评估视网膜炎情况,而且还能充当提示疾病疗效及预后的标志物。在葡萄膜炎等免疫炎症性疾病中,en face OCT亦可观测到eMLC密度、形态等改变。白塞病葡萄膜炎患者视网膜血管渗漏程度与eMLC密度相关性强,故eMLC密度可充当无创评估视网膜血管渗漏程度的新指标。然而,目前提取和量化eMLC的方法及标准不统一,降低了各研究间的可比性。因此,亟需制定统一的操作规范和评估标准。此外eMLC 所代表的具体细胞类型及功能仍需进一步探究。未来,研究者可以利用en face OCT对眼底炎症地进行无创评估。基于en face OCT的eMLC还能作为基础研究与临床研究之间的桥梁,为揭示疾病的致病机制提供重要参考。

Macrophage-like cells (MLC) refer to immune cells that originate from and function similarly to macrophages, including microglia, hyalocytes, and macrophages themselves. By setting the display level of en face OCT to the retinal surface, epiretinal MLC (eMLC) can be observed and subsequently extracted and quantified using ImageJ software. Studies indicate that eMLC can exhibit cell recruitment and activation in inflammatory conditions, each displaying distinct characteristics in different retinal diseases. In ischemic and hypoxic retinal conditions such as diabetic retinopathy and retinal vein occlusion, higher densities of eMLC are associated with more severe macularedema. Moreover, patients with retinal vein occlusion showing higher eMLC densities tend to have poorer responses to anti-VEGF treatments and worse visual prognoses, suggesting that eMLC identified via en face OCT can be used not only to assess retinal inflammation but also as biomarkers for disease efficacy and prognosis. In immune-inflammatory diseases like uveitis, changes in eMLC density and morphology can also be observed through en face OCT. Inpatients with Beh?et's disease, a strong correlation exists between the degree of retinal vascular leakage and eMLC density, making eMLC density a potential non-invasive marker for assessing retinal vascular leakage. However, the current methods and standards for extracting and quantifying eMLC are not unified, significantly reducing comparability between studies. Therefore, there is an urgent need to establish uniform operational protocols and assessment standards. Furthermore, the specific cell types and functions represented by eMLC observed via en face OCT require further investigation. In the future, en face OCT could be utilized for non-invasive assessment of retinal inflammation. eMLC based onen face OCT could also serve as a bridge between basic research and clinical studies, providing valuable insights into the pathogenic mechanisms of diseases.

论著

表格式护理记录单在眼底病中心日间病房精细化管理的应用

Application of eye nursing record sheets in the fine management of ophthalmic fundus center

:156-160
 
目的:自行设计并应用眼科表格式护理记录单,探讨眼科日间病房精细化护理管理工作的方法。方法:于中山大学中山眼科中心眼底病中心,根据日间手术流程,设计和运用眼底病中心24 h出入院护理记录单、眼底病中心日间病房交班记录单和眼底病中心日间病房手术记录单,书写方法基本以打勾、数字或简单文字记录为主。结果:新的表格式护理记录单大大节省护理记录和交班时间,提高护理工作效率,得到临床护理人员的广泛认可,提高医护对护理工作的满意度。结论:突出专科特色的表格式护理记录单能统一规范临床护理工作,提高护理工作效率和护理质量,保障护患安全,落实精细化护理管理。
Objective: To explore ffne management method of day ward in ocular department, through applying self-designed table format of eye nursing records. Methods: According to the day surgery process, the tables of 24-h nursing records and shifting records and surgery records were designed and applied to day ward of the ophthalmic fundus center. The basic writing methods included ticking, number and filling in the blanks. Results: The new nursing records tables decreased the time consumed in recording and shifting, improving the work efficiency, accepted widely by clinical staffs. Conclusion: The new table format with highlight of special features of the nursing records can unify and standard the clinical nursing work, improve the nursing work efficiency and nursing quality, ensure patients’ safety, and implement fine management. 
论著

医护一体化管理模式在眼底病中心日间病房的应用

Application of the medical integration mode in the day ward of ophthalmic fundus center

:148-151
 
目的:探讨医护一体化管理模式在眼底病中心日间病房中的应用与成效。方法:2015年6月至2016年6月于眼底病中心实行医护一体化管理模式,通过问卷调查比较实施前后医生和患者对护理工作的满意度。结果:医护一体化管理模式实行后,医生满意度显著提高,差异有统计学意义(t=?4.412,P<0.01),患者满意度有所提高,差异有统计学意义(t=2.592,P=0.01)。结论:采用医护一体化管理模式对眼底病日间手术住院患者进行管理,加强医护沟通,可有效提高护理质量,保障患者医疗、护理的安全性。
Objective: To explore the effect of the medical integration mode applying in the day ward of ophthalmic clinical key specialty. Methods: The ophthalmic fundus center started to carry out the medical integration mode from June 2015 to June 2016. Doctors’ and patients’ satisfaction towards nurses were surveyed before and after the implementation. Results: The doctors’ satisfaction towards nurses was statistically higher than before (t=?4.412, P<0.01). TTe patients’ satisfaction also improved, and the difference was statistically signiffcant (t=2.592, P=0.01). Conclusion: The medical integration mode strengthens the communication with doctors and patients, improves the nursing quality, and ensures the medical safety.
综述

基于光学相干断层成像的剥脱综合征和剥脱性青光眼眼底病变研究进展

Research advances in the fundus lesion of exfoliation syndrome and exfoliation glaucoma based on optical coherence tomography

:44-52
 
剥脱综合征(exfoliation syndrome,XFS)以眼内异常纤维样物质沉积为特征,临床典型表现为裂隙灯下瞳孔缘和(或)晶状体前囊膜存在灰白色粉末状的剥脱物(exfoliation material,XFM)。XFM可阻塞小梁网引起剥脱性青光眼(exfoliaiton glaucoma,XFG),并可通过房水循环进入血液,引起血管性损害。眼底病变视力损伤通常不可逆,XFM可进入眼底微血管及毛细血管,引起眼底结构和血管异常。基于光学相干断层成像技术的光学相干断层扫描(optical coherence tomography,OCT)及光学相干断层扫描血管成像(optical coherence tomography angiography,OCTA)以实时、非侵入性、高分辨率等优势,已广泛应用于眼底组织结构及血管病变检查。文章对XFS眼底病变在OCT和OCTA上的表现进行综述。
Exfoliation syndrome (XFS) was characterized by the abnormal deposition of the fber-like material intraocularly, and manifested as white or gray, powdery exfoliation material (XFM) on the pupillary border and (or) anterior lens capsule under slit lamp microscopy. XFM could obstruct the trabecular meshwork and cause exfoliation glaucoma (XFG). In addition, XFM that entered aqueous humor circulation could enter bloodstream and result in vascular damage. XFM could enter ocular fundus microvascular and capillary vessels, causing abnormalities of fundus structures and vessels. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA), which were based on optical coherence tomography technology, had the advantages of real-time, non-intrusive and high resolution, et al. OCT and OCTA were widely used in detection of fundus structural and vascular abnormalities. Tis study was to review the fundus lesion of XFS on OCT and OCTA.
其他期刊
  • 眼科学报

    主管:中华人民共和国教育部
    主办:中山大学
    承办:中山大学中山眼科中心
    主编:林浩添
    主管:中华人民共和国教育部
    主办:中山大学
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  • Eye Science

    主管:中华人民共和国教育部
    主办:中山大学
    承办:中山大学中山眼科中心
    主编:林浩添
    主管:中华人民共和国教育部
    主办:中山大学
    浏览
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