Yaoyao Sun, Xiuju Chen, Zongming Song, Tingting Liu, Ye Tao, Tinglan Lai, Yanru Chen, Minghan Li, Jinfeng Qu, Xiaoxin Li
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Then the consistency in diagnosing the severity of DR by two distinct imaging systems was compared according to three separate grading criteria (the International Council of Ophthalmology, the Early Treatment Diabetic Retinopathy Study [ETDRS] grading diagnostic criteria, and the Chinese Clinical Diagnosis and Treatment Guidelines for Diabetic Retinopathy [2014]) were analysed.</p><p><strong>Results: </strong>A total of 113 patients, 201 eyes and 402 images were included in this study. 39 images were excluded due to the poor image quality and 363 images were finally analyzed. The Clarus™ imaging system demonstrated better image quality than the Optos<sup>®</sup> imaging system (κ = 0.195). The mean effective retinal area was 490.03 ± 112.33 Disc area(DA) in the Clarus™ group and 410.41 ± 92.12 DA in the Optos<sup>®</sup> group (P = 0.000). The κ values were 0.812 for ETDRS DR severity, 0.787 for ICO DR severity, and 0.790 for the Chinese guidelines, indicating substantial agreement between the two imaging systems. However, Clarus™ indicated higher DR severity than the Optos<sup>®</sup> imaging system, with a higher detection rate of intraretinal microvascular abnormalities (IRMAs) and neovascularization.</p><p><strong>Conclusion: </strong>Clarus<sup>™</sup> and Optos<sup>®</sup> exhibit strong concordance in the identification of DR. Clarus<sup>™</sup> offers better image quality and IRMA recognition than Optos<sup>®</sup> and better identifies patients who need treatment.</p>","PeriodicalId":9058,"journal":{"name":"BMC Ophthalmology","volume":"25 1","pages":"72"},"PeriodicalIF":1.7000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11812173/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utilizing fundus images captured by two ultra-wide field imaging systems to measure diagnostic indicators and assess the grade of diabetic retinopathy.\",\"authors\":\"Yaoyao Sun, Xiuju Chen, Zongming Song, Tingting Liu, Ye Tao, Tinglan Lai, Yanru Chen, Minghan Li, Jinfeng Qu, Xiaoxin Li\",\"doi\":\"10.1186/s12886-024-03835-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>This study compared the effectiveness of different ultrawide field fundus imaging systems (Clarus™ 500 and Optos<sup>®</sup>) in diagnosing diabetic retinopathy (DR).</p><p><strong>Methods: </strong>This was a prospective, multicentre study. Retinal photographs were captured at four eye centres utilizing both the Clarus™ 500 and Optos<sup>®</sup> imaging systems. The image quality and the effective retinal area were compared. Then the consistency in diagnosing the severity of DR by two distinct imaging systems was compared according to three separate grading criteria (the International Council of Ophthalmology, the Early Treatment Diabetic Retinopathy Study [ETDRS] grading diagnostic criteria, and the Chinese Clinical Diagnosis and Treatment Guidelines for Diabetic Retinopathy [2014]) were analysed.</p><p><strong>Results: </strong>A total of 113 patients, 201 eyes and 402 images were included in this study. 39 images were excluded due to the poor image quality and 363 images were finally analyzed. The Clarus™ imaging system demonstrated better image quality than the Optos<sup>®</sup> imaging system (κ = 0.195). 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引用次数: 0
摘要
背景:本研究比较了不同超宽视场眼底成像系统(Clarus™500和Optos®)诊断糖尿病视网膜病变(DR)的有效性。方法:这是一项前瞻性、多中心研究。使用Clarus™500和Optos®成像系统在四个眼中心拍摄视网膜照片。比较图像质量和有效视网膜面积。然后比较两种不同成像系统根据三个独立的分级标准(国际眼科理事会、早期治疗糖尿病视网膜病变研究[ETDRS]分级诊断标准和中国糖尿病视网膜病变临床诊疗指南[2014])诊断DR严重程度的一致性。结果:共纳入113例患者,201只眼,402幅图像。由于图像质量差,排除了39幅图像,最终分析了363幅图像。Clarus™成像系统的图像质量优于Optos®成像系统(κ = 0.195)。Clarus™组平均有效视网膜面积为490.03±112.33椎间盘面积(DA), Optos®组平均有效视网膜面积为410.41±92.12 DA (P = 0.000)。ETDRS DR严重程度的κ值为0.812,ICO DR严重程度的κ值为0.787,中国指南的κ值为0.790,表明两种成像系统之间的基本一致。然而,Clarus™显示比Optos®成像系统更高的DR严重程度,具有更高的视网膜微血管异常(irma)和新生血管的检出率。结论:Clarus™和Optos®在DR.识别方面具有很强的一致性,Clarus™比Optos®提供更好的图像质量和IRMA识别,更好地识别需要治疗的患者。
Utilizing fundus images captured by two ultra-wide field imaging systems to measure diagnostic indicators and assess the grade of diabetic retinopathy.
Background: This study compared the effectiveness of different ultrawide field fundus imaging systems (Clarus™ 500 and Optos®) in diagnosing diabetic retinopathy (DR).
Methods: This was a prospective, multicentre study. Retinal photographs were captured at four eye centres utilizing both the Clarus™ 500 and Optos® imaging systems. The image quality and the effective retinal area were compared. Then the consistency in diagnosing the severity of DR by two distinct imaging systems was compared according to three separate grading criteria (the International Council of Ophthalmology, the Early Treatment Diabetic Retinopathy Study [ETDRS] grading diagnostic criteria, and the Chinese Clinical Diagnosis and Treatment Guidelines for Diabetic Retinopathy [2014]) were analysed.
Results: A total of 113 patients, 201 eyes and 402 images were included in this study. 39 images were excluded due to the poor image quality and 363 images were finally analyzed. The Clarus™ imaging system demonstrated better image quality than the Optos® imaging system (κ = 0.195). The mean effective retinal area was 490.03 ± 112.33 Disc area(DA) in the Clarus™ group and 410.41 ± 92.12 DA in the Optos® group (P = 0.000). The κ values were 0.812 for ETDRS DR severity, 0.787 for ICO DR severity, and 0.790 for the Chinese guidelines, indicating substantial agreement between the two imaging systems. However, Clarus™ indicated higher DR severity than the Optos® imaging system, with a higher detection rate of intraretinal microvascular abnormalities (IRMAs) and neovascularization.
Conclusion: Clarus™ and Optos® exhibit strong concordance in the identification of DR. Clarus™ offers better image quality and IRMA recognition than Optos® and better identifies patients who need treatment.
期刊介绍:
BMC Ophthalmology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of eye disorders, as well as related molecular genetics, pathophysiology, and epidemiology.