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指南针超阈值筛查策略的比较

Comparison of Compass Suprathreshold Screening Strategies.

作者信息

Fogagnolo Paolo, Romano Dario, Montesano Giovanni, De Ruvo Valentino, Rossetti Luca Mario

机构信息

Eye Clinic, ASST Santi Paolo e Carlo, Università degli Studi, 20143 Milan, Italy.

Optometry and Visual Sciences, University of London, London EC1 0HB, UK.

出版信息

J Clin Med. 2021 Sep 23;10(19):4330. doi: 10.3390/jcm10194330.

DOI:10.3390/jcm10194330
PMID:34640347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8509342/
Abstract

Screening programs may be useful to reduce the rate of undetected glaucoma. Compass (CMP, CenterVue, Padova, Italy) Standard Suprathreshold strategy (SST) analyses the visual function at 52 retinal locations. A new Quick Suprathreshold strategy (QST) reduces the number of tested locations to 24. With both tests, the CMP also provides an image of the central retina and a detail of the optic nerve head. The aim of this paper is to measure the performances of SST and QST compared with clinical diagnosis. 63 consecutive healthy subjects and 60 consecutive patients with perimetric defects from glaucoma in both eyes were recruited. They received one test per eye (SST or QST in randomized order); results were classified into normal, suspect and abnormal according to a global index provided in the report and called SupraThreshold Response (STR). Agreement between clinical diagnosis and test output were calculated, and test time was also measured. The agreement with the clinical diagnosis was 95.7% for SST and 95.1% for QST. When two suspect tests were excluded, agreement for QST increased to 96.7%. Test duration was 164 ± 82 s for SST and 71 ± 41 s for QST ( < 0.0001). Such a difference was similar in both glaucoma patients (respectively 231 ± 65 s vs. 105 ± 33 s, < 0.0001) and normal subjects (98 ± 17 and 39 ± 9 s, < 0.0001). In conclusion, SST and QST showed similar, high agreement with clinical judgement. Morphological analysis is potentially helpful in further improving the clinical usefulness of suprathreshold tests. QST is characterized by a strong time saving compared with SST.

摘要

筛查项目可能有助于降低未被检测出的青光眼发病率。Compass(CMP,意大利帕多瓦的CenterVue公司)标准超阈值策略(SST)可分析52个视网膜位置的视觉功能。一种新的快速超阈值策略(QST)将测试位置数量减少至24个。通过这两种测试,CMP还可提供中央视网膜图像和视神经乳头细节。本文旨在测量SST和QST与临床诊断相比的性能。招募了63名连续的健康受试者和60名连续的双眼患有青光眼视野缺损的患者。他们每只眼睛接受一项测试(按随机顺序进行SST或QST);根据报告中提供的总体指标(称为超阈值反应,STR)将结果分为正常、可疑和异常。计算临床诊断与测试结果之间的一致性,并测量测试时间。SST与临床诊断的一致性为95.7%,QST为95.1%。当排除两项可疑测试时,QST的一致性提高到96.7%。SST的测试持续时间为164±82秒,QST为71±41秒(<0.0001)。在青光眼患者(分别为231±65秒对105±33秒,<0.0001)和正常受试者(98±17秒和39±9秒,<0.0001)中,这种差异相似。总之,SST和QST与临床判断显示出相似的高一致性。形态学分析可能有助于进一步提高超阈值测试的临床实用性。与SST相比,QST的特点是节省大量时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/8509342/4db00a3dd5cf/jcm-10-04330-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/8509342/721dcdb240cb/jcm-10-04330-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/8509342/4db00a3dd5cf/jcm-10-04330-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/8509342/721dcdb240cb/jcm-10-04330-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5987/8509342/4db00a3dd5cf/jcm-10-04330-g002a.jpg

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本文引用的文献

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European Glaucoma Society Terminology and Guidelines for Glaucoma, 5th Edition.欧洲青光眼学会青光眼术语和指南,第 5 版。
Br J Ophthalmol. 2021 Jun;105(Suppl 1):1-169. doi: 10.1136/bjophthalmol-2021-egsguidelines.
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Do Additional Testing Locations Improve the Detection of Macular Perimetric Defects in Glaucoma?额外的检测点是否能提高青光眼周边视野缺损的检出率?
Ophthalmology. 2021 Dec;128(12):1722-1735. doi: 10.1016/j.ophtha.2021.06.012. Epub 2021 Jun 18.
3
Novel utilisation of ultrawide-field fundus photography for detecting retinal nerve fibre layer defects in glaucomatous eyes.
利用超广角眼底照相术检测青光眼患者的视网膜神经纤维层缺陷。
Br J Ophthalmol. 2022 Nov;106(11):1524-1529. doi: 10.1136/bjophthalmol-2020-318559. Epub 2021 May 18.
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Agreement Between 10-2 and 24-2C Visual Field Test Protocols for Detecting Glaucomatous Central Visual Field Defects.10-2 和 24-2C 视野测试方案检测青光眼中心视野缺损的一致性。
J Glaucoma. 2021 Jun 1;30(6):e285-e291. doi: 10.1097/IJG.0000000000001844.
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Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.基于深度学习分类器和极坐标变换的眼底无赤光摄影青光眼筛查
J Glaucoma. 2019 Mar;28(3):258-264. doi: 10.1097/IJG.0000000000001187.
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