• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Digital retinal images and teleophthalmology for detecting and grading diabetic retinopathy.

作者信息

Gómez-Ulla Francisco, Fernandez Maria I, Gonzalez Francisco, Rey Pablo, Rodriguez Marta, Rodriguez-Cid Maria J, Casanueva Felipe F, Tome Maria A, Garcia-Tobio Javier, Gude Francisco

机构信息

Ocular Diabetes and Medical Retina Unit, Division of Ophthalmology, Department of Surgery, School of Medicine, University of Santiago de Compostela and Complejo Hospitalario, Universitario de Santiago de Compostela, Spain.

出版信息

Diabetes Care. 2002 Aug;25(8):1384-9. doi: 10.2337/diacare.25.8.1384.

DOI:10.2337/diacare.25.8.1384
PMID:12145239
Abstract

OBJECTIVE

Detecting and grading of diabetic retinopathy (DR) by means of digital retinal images sent via the Internet.

RESEARCH DESIGN AND METHODS

Four nonstereoscopic digital retinal images (45 degrees field each) of 126 eye fundus images from 70 diabetic patients were obtained with a nonmydriatic camera at two peripheral units. The images were sent via the Internet using a web-based system to a reference center, where they were diagnosed and graded by one ophthalmologist. These results were compared with those obtained by two other ophthalmologists, one at each peripheral unit, after direct examination of the patients. A modified severity scale of Airlie House was used for grading DR in all cases. Agreement between observers was assessed using unweighted kappa for categorical data and the intraclass correlation coefficient (ICC) for continuous data.

RESULTS

Presence of DR was detected in 69 eyes (55%). All eyes with DR (69 of 69, 100%) were correctly identified (kappa = 1) by inspecting the digital images. In 118 eyes (118 of 126, 94%), 57 with no DR and 61 with DR, there was an agreement between the gradation made after the direct examination and the gradation made after the inspection of the images (ICC = 0.92). In eight eyes with DR (8 of 126, 6%), there was disagreement in the grading made with both techniques.

CONCLUSIONS

Inspection of digital retinal images sent via the Internet allowed diagnosis and grading of DR. The presence or absence of DR was correctly assessed by inspection of the images in all instances. We also found agreement, in most cases, between retinopathy gradation made from the images and the gradation made by direct examination of the eyes. These findings suggest that this technique is suitable for screening procedures.

摘要

相似文献

1
Digital retinal images and teleophthalmology for detecting and grading diabetic retinopathy.
Diabetes Care. 2002 Aug;25(8):1384-9. doi: 10.2337/diacare.25.8.1384.
2
Screening for diabetic retinopathy in rural area using single-field, digital fundus images.使用单视野数字眼底图像在农村地区筛查糖尿病视网膜病变。
J Med Assoc Thai. 2005 Feb;88(2):176-80.
3
Telemedicine-based digital retinal imaging vs standard ophthalmologic evaluation for the assessment of diabetic retinopathy.基于远程医疗的数字视网膜成像与标准眼科评估在糖尿病视网膜病变评估中的比较
Conn Med. 2012 Feb;76(2):85-90.
4
Nonmydriatic digital retinal images for determining diabetic retinopathy.用于确定糖尿病视网膜病变的免散瞳数字视网膜图像。
J Med Assoc Thai. 2007 Mar;90(3):508-12.
5
Telemedicine screening of diabetic retinopathy using a hand-held fundus camera.使用手持眼底相机进行糖尿病视网膜病变的远程医疗筛查。
Telemed J. 2000 Summer;6(2):219-23. doi: 10.1089/107830200415153.
6
Why Miss the Chance? Incidental Findings while Telescreening for Diabetic Retinopathy.为何错失良机?糖尿病视网膜病变筛查中的偶然发现。
Ophthalmic Epidemiol. 2020 Aug;27(4):237-245. doi: 10.1080/09286586.2020.1715450. Epub 2020 Jan 20.
7
Comparison of nonmydriatic digital retinal imaging versus dilated ophthalmic examination for nondiabetic eye disease in persons with diabetes.非散瞳数字视网膜成像与散瞳眼科检查在糖尿病患者非糖尿病性眼病中的比较
Ophthalmology. 2006 May;113(5):833-40. doi: 10.1016/j.ophtha.2005.12.025.
8
Rapid grading of fundus photographs for diabetic retinopathy using crowdsourcing.利用众包对糖尿病视网膜病变眼底照片进行快速分级。
J Med Internet Res. 2014 Oct 30;16(10):e233. doi: 10.2196/jmir.3807.
9
Agreement and Diagnostic Test Accuracy on Grading Diabetic Retinopathy Using Fundus Photographs by Allied Medical Personnel at a Community Diabetic Retinopathy Screening Program in Nepal.在尼泊尔的社区糖尿病视网膜病变筛查项目中,联合医务人员使用眼底照片对糖尿病视网膜病变进行分级的一致性和诊断测试准确性。
Ophthalmic Epidemiol. 2021 Dec;28(6):509-515. doi: 10.1080/09286586.2021.1877730. Epub 2021 Jan 27.
10
Web-based grading of compressed stereoscopic digital photography versus standard slide film photography for the diagnosis of diabetic retinopathy.基于网络的压缩立体数码摄影与标准幻灯片胶片摄影在糖尿病视网膜病变诊断中的分级比较
Ophthalmology. 2007 Sep;114(9):1748-54. doi: 10.1016/j.ophtha.2006.12.010. Epub 2007 Mar 21.

引用本文的文献

1
Diabetic retinopathy screenings in West Virginia: an assessment of teleophthalmology implementation.西弗吉尼亚州的糖尿病视网膜病变筛查:远程眼科实施评估。
BMC Ophthalmol. 2023 Mar 10;23(1):93. doi: 10.1186/s12886-023-02833-4.
2
Integrating Telemedicine Services in Ophthalmology: Evaluating Patient Interest and Perceived Benefits.眼科远程医疗服务的整合:评估患者兴趣及感知到的益处
Patient Prefer Adherence. 2021 Oct 18;15:2335-2341. doi: 10.2147/PPA.S330682. eCollection 2021.
3
Cost-effectiveness and diagnostic accuracy of telemedicine in macular disease and diabetic retinopathy: A systematic review and meta-analysis.
远程医疗在黄斑疾病和糖尿病视网膜病变中的成本效益及诊断准确性:一项系统评价与荟萃分析
Medicine (Baltimore). 2020 Jun 19;99(25):e20306. doi: 10.1097/MD.0000000000020306.
4
Assessment of Training Outcomes of Nurse Readers for Diabetic Retinopathy Telescreening: Validation Study.糖尿病视网膜病变远程筛查护士阅片者培训效果评估:验证性研究
JMIR Diabetes. 2020 Apr 7;5(2):e17309. doi: 10.2196/17309.
5
The role of tele-ophthalmology in diabetic retinopathy screening.远程眼科在糖尿病视网膜病变筛查中的作用。
J Optom. 2020 Oct-Dec;13(4):262-268. doi: 10.1016/j.optom.2019.12.004. Epub 2020 Jan 14.
6
Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care: Protocol for Algorithm Development.基层医疗中用于检测糖尿病视网膜病变的人工智能:算法开发方案
JMIR Res Protoc. 2019 Feb 1;8(2):e12539. doi: 10.2196/12539.
7
Use of Expectation Disconfirmation Theory to Test Patient Satisfaction with Asynchronous Telemedicine for Diabetic Retinopathy Detection.运用期望确认理论检验患者对用于糖尿病视网膜病变检测的异步远程医疗的满意度。
Int J Telemed Appl. 2018 Oct 11;2018:7015272. doi: 10.1155/2018/7015272. eCollection 2018.
8
External validation of cut-off points for foveal thickness taking into account the intraretinal fluid using optical coherence tomography to diagnose diabetic macular oedema.考虑视网膜内液的中央凹厚度截断点的外部验证:使用光学相干断层扫描诊断糖尿病性黄斑水肿。
PeerJ. 2017 Oct 12;5:e3922. doi: 10.7717/peerj.3922. eCollection 2017.
9
Teleophthalmology: improving patient outcomes?远程眼科:改善患者治疗效果?
Clin Ophthalmol. 2016 Feb 10;10:285-95. doi: 10.2147/OPTH.S80487. eCollection 2016.
10
Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid.糖尿病性黄斑水肿的检测:利用中央凹厚度和视网膜内液对光学相干断层扫描进行验证
PeerJ. 2015 Nov 10;3:e1394. doi: 10.7717/peerj.1394. eCollection 2015.