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光谱域光学相干断层成像在远程医学糖尿病视网膜病变筛查项目中的应用评估:一项真实的临床实践。

EVALUATION OF THE INCLUSION OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY IN A TELEMEDICINE DIABETIC RETINOPATHY SCREENING PROGRAM: A Real Clinical Practice.

机构信息

Department of Ophthalmology, University Hospital "Príncipe de Asturias", Alcalá de Henares, Madrid, Spain.

Department of Biomedical Sciences, University of Alcalá (IRYCIS), Alcalá de Henares, Madrid, Spain; and.

出版信息

Retina. 2023 Aug 1;43(8):1308-1316. doi: 10.1097/IAE.0000000000003832.


DOI:10.1097/IAE.0000000000003832
PMID:37155959
Abstract

PURPOSE: To evaluate whether combining spectral domain optical coherence tomography with monoscopic fundus photography using a nonmydriatic camera (MFP-NMC) improves the accuracy of diabetic macular edema (DME) referrals in a teleophthalmology diabetic retinopathy screening program. METHODS: We conducted a cross-sectional study with all diabetic patients aged 18 years or older who attended screening from September 2016 to December 2017. We assessed DME according to the three MFP-NMC and the four spectral domain optical coherence tomography criteria. The sensitivity and specificity obtained for each criterion were estimated by comparing them with the ground truth of DME. RESULTS: This study included 3,918 eyes (1,925 patients; median age, 66 years; interquartile range, 58-73; females, 40.7%; once-screened, 68.1%). The prevalence of DME ranged from 1.22% to 1.83% and 1.54% to 8.77% on MFP-NMC and spectral domain optical coherence tomography, respectively. Sensitivity barely reached 50% in MFP-NMC and less for the quantitative criteria of spectral domain optical coherence tomography. When macular thickening and anatomical signs of DME were considered, sensitivity increased to 88.3% and the false DMEs and non-gradable images were reduced. CONCLUSION: Macular thickening and anatomical signs showed the highest suitability for screening, with a sensitivity of 88.3% and a specificity of 99.8%. Notably, MFP-NMC alone missed half of the true DMEs that lacked indirect signs.

摘要

目的:评估在远程眼科糖尿病视网膜病变筛查项目中,将眼底照相(MFP-NMC)与非散瞳相机结合使用是否能提高糖尿病黄斑水肿(DME)转诊的准确性。

方法:我们进行了一项横断面研究,纳入了所有在 2016 年 9 月至 2017 年 12 月间参加筛查的年龄在 18 岁及以上的糖尿病患者。我们根据 MFP-NMC 的三个标准和光谱域光学相干断层扫描(SD-OCT)的四个标准来评估 DME。通过比较这些标准与 DME 的实际情况,估计了每个标准的敏感性和特异性。

结果:这项研究共纳入了 3918 只眼(1925 例患者;中位年龄 66 岁;四分位间距 58-73;女性占 40.7%;一次筛查率为 68.1%)。MFP-NMC 和 SD-OCT 检测到的 DME 患病率分别为 1.22%-1.83%和 1.54%-8.77%。MFP-NMC 的敏感性勉强达到 50%,SD-OCT 的定量标准的敏感性更低。当考虑到黄斑增厚和 DME 的解剖学征象时,敏感性增加到 88.3%,并减少了假阳性和不可分级的图像。

结论:黄斑增厚和解剖学征象的筛查最适合,其敏感性为 88.3%,特异性为 99.8%。值得注意的是,MFP-NMC 单独检查时会漏掉一半缺乏间接征象的真正 DME。

相似文献

[1]
EVALUATION OF THE INCLUSION OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY IN A TELEMEDICINE DIABETIC RETINOPATHY SCREENING PROGRAM: A Real Clinical Practice.

Retina. 2023-8-1

[2]
INTEGRATING MACULAR OPTICAL COHERENCE TOMOGRAPHY WITH ULTRAWIDE-FIELD IMAGING IN A DIABETIC RETINOPATHY TELEMEDICINE PROGRAM USING A SINGLE DEVICE.

Retina. 2023-11-1

[3]
Comparisons of Handheld Retinal Imaging with Optical Coherence Tomography for the Identification of Macular Pathology in Patients with Diabetes.

Ophthalmic Res. 2023

[4]
Comparison of Prevalence of Diabetic Macular Edema Based on Monocular Fundus Photography vs Optical Coherence Tomography.

JAMA Ophthalmol. 2016-2

[5]
Evaluation of a combination digital retinal camera with spectral-domain optical coherence tomography (SD-OCT) that might be used for the screening of diabetic retinopathy with telemedicine: A pilot study.

J Diabetes Complications. 2018-8-11

[6]
Toronto tele-retinal screening program for detection of diabetic retinopathy and macular edema.

Can J Ophthalmol. 2018-8-23

[7]
Accuracy of Detection and Grading of Diabetic Retinopathy and Diabetic Macular Edema Using Teleretinal Screening.

Ophthalmol Retina. 2019-4

[8]
A Revised Approach for the Detection of Sight-Threatening Diabetic Macular Edema.

JAMA Ophthalmol. 2017-1-1

[9]
Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.

Sci Rep. 2024-7-31

[10]
Assessment of serous macular detachment in eyes with diabetic macular edema by use of spectral-domain optical coherence tomography.

Graefes Arch Clin Exp Ophthalmol. 2009-11

引用本文的文献

[1]
Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.

Sci Rep. 2024-7-31

[2]
Normative Data for Macular Thickness and Volume for Optical Coherence Tomography in a Diabetic Population without Maculopathies.

J Clin Med. 2023-8-11

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