• 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

基于眼的与基于象限的早产儿视网膜病变中 Plus 病诊断的准确性和可靠性。

Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity.

机构信息

Department of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.

Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

JAMA Ophthalmol. 2018 Jun 1;136(6):648-655. doi: 10.1001/jamaophthalmol.2018.1195.

DOI:10.1001/jamaophthalmol.2018.1195
PMID:29710185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6145779/
Abstract

IMPORTANCE

Presence of plus disease in retinopathy of prematurity is the most critical element in identifying treatment-requiring disease. However, there is significant variability in plus disease diagnosis. In particular, plus disease has been defined as 2 or more quadrants of vascular abnormality, and it is not clear whether it is more reliably and accurately diagnosed by eye-based assessment of overall retinal appearance or by quadrant-based assessment combining grades of 4 individual quadrants.

OBJECTIVE

To compare eye-based vs quadrant-based diagnosis of plus disease and to provide insight for ophthalmologists about the diagnostic process.

DESIGN, SETTING, AND PARTICIPANTS: In this multicenter cohort study, we developed a database of 197 wide-angle retinal images from 141 preterm infants from neonatal intensive care units at 9 academic institutions (enrolled from July 2011 to December 2016). Each image was assigned a reference standard diagnosis based on consensus image-based and clinical diagnosis. Data analysis was performed from February 2017 to September 2017.

INTERVENTIONS

Six graders independently diagnosed each of the 4 quadrants (cropped images) of the 197 eyes (quadrant-based diagnosis) as well as the entire image (eye-based diagnosis). Images were displayed individually, in random order. Quadrant-based diagnosis of plus disease was made when 2 or more quadrants were diagnosed as indicating plus disease by combining grades of individual quadrants post hoc.

MAIN OUTCOMES AND MEASURES

Intragrader and intergrader reliability (absolute agreement and κ statistic) and accuracy compared with the reference standard diagnosis.

RESULTS

Of the 141 included preterm infants, 65 (46.1%) were female and 116 (82.3%) white, and the mean (SD) gestational age was 27.0 (2.6) weeks. There was variable agreement between eye-based and quadrant-based diagnosis among the 6 graders (Cohen κ range, 0.32-0.75). Four graders showed underdiagnosis of plus disease with quadrant-based diagnosis compared with eye-based diagnosis (by McNemar test). Intergrader agreement of quadrant-based diagnosis was lower than that of eye-based diagnosis (Fleiss κ, 0.75 [95% CI, 0.71-0.78] vs 0.55 [95% CI, 0.51-0.59]). The accuracy of eye-based diagnosis compared with the reference standard diagnosis was substantial to near-perfect, whereas that of quadrant-based plus disease diagnosis was only moderate to substantial for each grader.

CONCLUSIONS AND RELEVANCE

Graders had lower reliability and accuracy using quadrant-based diagnosis combining grades of individual quadrants than with eye-based diagnosis, suggesting that eye-based diagnosis has advantages over quadrant-based diagnosis. This has implications for more precise definitions of plus disease regarding the criterion of 2 or more quadrants, clinical care, computer-based image analysis, and education for all ophthalmologists who manage retinopathy of prematurity.

摘要

重要性

早产儿视网膜病变中的“+”病是识别需要治疗的疾病的最关键因素。然而,“+”病的诊断存在显著的差异。特别是,“+”病被定义为 2 个或更多象限的血管异常,目前尚不清楚是通过对整个视网膜外观的眼部评估,还是通过结合 4 个象限的分级进行的象限评估更可靠和准确地诊断“+”病。

目的

比较眼部和象限诊断“+”病,并为眼科医生提供有关诊断过程的见解。

设计、地点和参与者:在这项多中心队列研究中,我们从 9 个学术机构的新生儿重症监护病房的 141 名早产儿中开发了一个包含 197 张广角视网膜图像的数据库(招募时间为 2011 年 7 月至 2016 年 12 月)。每个图像都根据共识的基于图像和临床的诊断被分配了一个参考标准诊断。数据分析于 2017 年 2 月至 2017 年 9 月进行。

干预措施

6 名分级员分别对 197 只眼(象限诊断)的 4 个象限(裁剪图像)和整个图像(眼部诊断)进行独立诊断。图像单独随机显示。象限的“+”病诊断是通过事后结合各个象限的分级来诊断 2 个或更多象限存在“+”病。

主要结果和措施

与参考标准诊断相比,比较分级员内和分级员间的可靠性(绝对一致和κ统计)和准确性。

结果

在纳入的 141 名早产儿中,65 名(46.1%)为女性,116 名(82.3%)为白人,平均(标准差)胎龄为 27.0(2.6)周。6 名分级员中,眼部和象限诊断之间存在不一致(Cohen κ 范围,0.32-0.75)。与眼部诊断相比,4 名分级员的象限诊断存在“+”病漏诊(McNemar 检验)。象限诊断的分级员间一致性低于眼部诊断(Fleiss κ,0.75[95%CI,0.71-0.78] vs 0.55[95%CI,0.51-0.59])。与参考标准诊断相比,眼部诊断的准确性为高到近乎完美,而象限“+”病诊断的准确性仅为中度到高度,每位分级员的情况均如此。

结论和相关性

使用象限分级结合各个象限的分级进行诊断时,分级员的可靠性和准确性均低于眼部诊断,这表明眼部诊断优于象限诊断。这对“+”病的定义有影响,特别是对于 2 个或更多象限的标准,临床护理、基于计算机的图像分析以及管理早产儿视网膜病变的所有眼科医生的教育。

相似文献

1
Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity.基于眼的与基于象限的早产儿视网膜病变中 Plus 病诊断的准确性和可靠性。
JAMA Ophthalmol. 2018 Jun 1;136(6):648-655. doi: 10.1001/jamaophthalmol.2018.1195.
2
Plus disease in retinopathy of prematurity: qualitative analysis of diagnostic process by experts.早产儿视网膜病变中的 Plus 病:专家对诊断过程的定性分析。
JAMA Ophthalmol. 2013 Aug;131(8):1026-32. doi: 10.1001/jamaophthalmol.2013.135.
3
Evaluation of a computer-based system for plus disease diagnosis in retinopathy of prematurity.基于计算机系统对早产儿视网膜病变中加病诊断的评估。
Ophthalmology. 2007 Dec;114(12):e59-67. doi: 10.1016/j.ophtha.2007.10.006.
4
Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity.眼底镜检查与远程医疗在早产儿视网膜病变检查中的诊断准确性。
JAMA Ophthalmol. 2018 May 1;136(5):498-504. doi: 10.1001/jamaophthalmol.2018.0649.
5
Influence of Computer-Generated Mosaic Photographs on Retinopathy of Prematurity Diagnosis and Management.计算机生成的拼接照片对早产儿视网膜病变诊断和治疗的影响。
JAMA Ophthalmol. 2016 Nov 1;134(11):1283-1289. doi: 10.1001/jamaophthalmol.2016.3625.
6
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.使用深度卷积神经网络自动诊断早产儿视网膜病变中的 Plus 病。
JAMA Ophthalmol. 2018 Jul 1;136(7):803-810. doi: 10.1001/jamaophthalmol.2018.1934.
7
Evaluation of Screening for Retinopathy of Prematurity by ROPtool or a Lay Reader.ROPtool 或非专业读者筛查早产儿视网膜病变的评估。
Ophthalmology. 2016 Feb;123(2):385-390. doi: 10.1016/j.ophtha.2015.09.048. Epub 2015 Dec 8.
8
Computer-assisted quantification of vascular tortuosity in retinopathy of prematurity (an American Ophthalmological Society thesis).早产儿视网膜病变中血管迂曲度的计算机辅助定量分析(美国眼科学会论文)
Trans Am Ophthalmol Soc. 2007;105:594-615.
9
Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality.早产儿视网膜病变的远程医疗诊断:准确性、可靠性及图像质量
Arch Ophthalmol. 2007 Nov;125(11):1531-8. doi: 10.1001/archopht.125.11.1531.
10
Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007.早产儿视网膜病变中的附加病变:2016年与2007年的诊断趋势
Am J Ophthalmol. 2017 Apr;176:70-76. doi: 10.1016/j.ajo.2016.12.025. Epub 2017 Jan 11.

引用本文的文献

1
Implementation of optical coherence tomography in retinopathy of prematurity screening.在早产儿视网膜病变筛查中实施光学相干断层扫描。
Curr Opin Ophthalmol. 2024 May 1;35(3):252-259. doi: 10.1097/ICU.0000000000001030. Epub 2024 Jan 11.
2
Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.深度学习在早产儿视网膜病变筛查算法中的公平性和泛化能力:文献综述。
BMJ Open Ophthalmol. 2023 Aug;8(1). doi: 10.1136/bmjophth-2022-001216.
3
Quantitative Analysis of Vascular Abnormalities in Full-Term Infants With Mild Familial Exudative Vitreoretinopathy.足月婴儿伴有轻微家族渗出性玻璃体视网膜病变的血管异常的定量分析。
Transl Vis Sci Technol. 2023 Mar 1;12(3):16. doi: 10.1167/tvst.12.3.16.
4
Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks.基于深度卷积神经网络的早产儿视网膜病变的早期诊断和分期定量分析。
Transl Vis Sci Technol. 2022 May 2;11(5):17. doi: 10.1167/tvst.11.5.17.
5
Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.人工智能在早产儿视网膜病变中的应用:血管严重程度分级量表与国际专家诊断的对照验证。
Ophthalmology. 2022 Jul;129(7):e69-e76. doi: 10.1016/j.ophtha.2022.02.008. Epub 2022 Feb 12.
6
International Classification of Retinopathy of Prematurity, Third Edition.国际早产儿视网膜病变分类,第三版。
Ophthalmology. 2021 Oct;128(10):e51-e68. doi: 10.1016/j.ophtha.2021.05.031. Epub 2021 Jul 8.
7
Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.影响早产儿视网膜病变严格纵向基于图像评估的关键因素。
Sci Rep. 2021 Mar 8;11(1):5369. doi: 10.1038/s41598-021-84723-7.
8
Artificial Intelligence in Retinopathy of Prematurity Diagnosis.人工智能在早产儿视网膜病变诊断中的应用。
Transl Vis Sci Technol. 2020 Feb 10;9(2):5. doi: 10.1167/tvst.9.2.5.
9
Non-contact smartphone-based fundus imaging compared to conventional fundus imaging: a low-cost alternative for retinopathy of prematurity screening and documentation.非接触式基于智能手机的眼底成像与传统眼底成像比较:早产儿视网膜病变筛查和记录的低成本替代方法。
Sci Rep. 2019 Dec 23;9(1):19711. doi: 10.1038/s41598-019-56155-x.
10
Plus Disease in Retinopathy of Prematurity: More Than Meets the ICROP?早产儿视网膜病变中的 Plus 病:比 ICROP 所见更复杂?
Asia Pac J Ophthalmol (Phila). 2018 May-Jun;7(3):152-155. doi: 10.22608/APO.201863. Epub 2018 May 24.

本文引用的文献

1
EFFECT OF PATIENTS' CLINICAL INFORMATION ON THE DIAGNOSIS OF AND DECISION TO TREAT RETINOPATHY OF PREMATURITY.患者临床信息对早产儿视网膜病变的诊断和治疗决策的影响。
Retina. 2018 Nov;38(11):2253-2259. doi: 10.1097/IAE.0000000000001864.
2
An international comparison of retinopathy of prematurity grading performance within the Benefits of Oxygen Saturation Targeting II trials.早产儿视网膜病变分级表现的国际比较——氧饱和度目标试验 II 研究。
Eye (Lond). 2018 Jan;32(1):74-80. doi: 10.1038/eye.2017.150. Epub 2017 Jul 28.
3
Assessment of a Tele-education System to Enhance Retinopathy of Prematurity Training by International Ophthalmologists-in-Training in Mexico.评估一种远程教育系统,以加强墨西哥国际眼科住院医师对早产儿视网膜病变的培训。
Ophthalmology. 2017 Jul;124(7):953-961. doi: 10.1016/j.ophtha.2017.02.014. Epub 2017 Apr 3.
4
Implementation and Evaluation of a Large-Scale Teleretinal Diabetic Retinopathy Screening Program in the Los Angeles County Department of Health Services.洛杉矶县卫生服务部大规模远程视网膜糖尿病视网膜病变筛查项目的实施与评估
JAMA Intern Med. 2017 May 1;177(5):642-649. doi: 10.1001/jamainternmed.2017.0204.
5
Plus Disease in Retinopathy of Prematurity: A Continuous Spectrum of Vascular Abnormality as a Basis of Diagnostic Variability.早产儿视网膜病变中的附加病变:作为诊断变异性基础的连续血管异常谱。
Ophthalmology. 2016 Nov;123(11):2338-2344. doi: 10.1016/j.ophtha.2016.07.026. Epub 2016 Aug 31.
6
Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis.早产儿视网膜病变中的附加疾病:通过对疾病严重程度进行排名并使用定量图像分析来改善诊断
Ophthalmology. 2016 Nov;123(11):2345-2351. doi: 10.1016/j.ophtha.2016.07.020. Epub 2016 Aug 24.
7
Diagnostic Discrepancies in Retinopathy of Prematurity Classification.早产儿视网膜病变分类中的诊断差异。
Ophthalmology. 2016 Aug;123(8):1795-1801. doi: 10.1016/j.ophtha.2016.04.035. Epub 2016 May 27.
8
Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.基于计算机图像分析的早产儿视网膜病变中 Plus 病的专家诊断。
JAMA Ophthalmol. 2016 Jun 1;134(6):651-7. doi: 10.1001/jamaophthalmol.2016.0611.
9
Evaluation of Screening for Retinopathy of Prematurity by ROPtool or a Lay Reader.ROPtool 或非专业读者筛查早产儿视网膜病变的评估。
Ophthalmology. 2016 Feb;123(2):385-390. doi: 10.1016/j.ophtha.2015.09.048. Epub 2015 Dec 8.
10
Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis.基于计算机的早产儿视网膜病变中增值性病变诊断的图像分析:“i-ROP”系统的性能及与专家诊断相关的图像特征
Transl Vis Sci Technol. 2015 Nov 30;4(6):5. doi: 10.1167/tvst.4.6.5. eCollection 2015 Nov.