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Detection of glaucomatous retinal nerve fiber layer damage by scanning laser polarimetry with variable corneal compensation

机译:用可变角膜补偿扫描激光偏振仪检测肺螨神经纤维层损坏

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One of the earliest signs of glaucoma presence is defects in the retinal nerve fiber layer (RNFL). Scanning laser polarimetry (SLP) provides objective assessment of RNFL, a birefringent tissue, by measuring the total retardation in the reflected light. SLP provides a potential tool for early detection of glaucoma and its progression. The birefringence of the anterior segment of the eye, mainly the cornea, is a confounding variable to SLP's clinical application, if compensation cannot be achieved properly. This paper presents a new SLP system, GDx VCC (Laser Diagnostic Technologies, Inc., San Diego, CA), with a variable corneal compensator (VCC) to achieve individualized corneal compensation. Clinical application of this device in glaucoma detection is also demonstrated. Methods: The GDx VCC system is a confocal scanning laser ophthalmoscope integrated with an ellipsometer. Image field is 40° (H) by 20° (V), covering both the peripapillary region and the macular region of the eye. The variable corneal compensator consists of two identical linear retarders; corneal birefringence is measured from the SLP macular image; both the magnitude and axis of the VCC are adjusted to the required compensation and RNFL measurement is performed. Clinical data were collected from 5 sites in the US under one study protocol; RNFL images of 390 normal eyes and 253 glaucomatous eyes were acquired with GDx. VCC systems. A normative database and a neural network classifier were developed so that RNFL status can be assessed objectively even at first exam. Results: GDx VCC generates 4 images for each measurement: fundus reflectance image, retardation image, axis image, and depolarized light image. Corneal birefringence magnitude and axis both varied over wide ranges for the study population, confirming the necessity of VCC. The VCC method and device as implemented in the GDx VCC systems worked well, apparent from the compensated macular retardation images. Glaucomatous RNFL damage, both focal defects and diffuse defects, was readily identified in the retardation images. RNFL measurement parameters with normative database provided objective RNFL evaluation consistent with clinical diagnosis. RNFL damage prior to visual field loss was observed in eyes diagnosed with early stage glaucoma. Significant correlation was observed between RNFL measurements and visual field mean deviation for the patient group. Conclusions: Individualized corneal compensation is achieved with the GDx VCC system. Glaucomatous RNFL damage can be detected effectively with GDx VCC technology. Normative database and neural network classifier allow diagnosis at a single exam. The significant association between RNFL measurement and visual field mean deviation in glaucomatous eyes suggests that GDx VCC may be a tool for monitoring progression of the disease.
机译:青光眼存在的最早迹象之一是视网膜神经纤维层(RNFL)的缺陷。扫描激光偏振基(SLP)通过测量反射光中的总延迟来提供RNFL,双折射组织的客观评估。 SLP提供了一种潜在的工具,用于早期检测青光眼及其进展。眼睛前段的双折射,主要是角膜,是SLP临床应用的混淆变量,如果不能正确实现补偿。本文介绍了新的SLP系统,GDX VCC(激光诊断技术,Inc.,San Diego,CA),可变角膜补偿器(VCC),以实现个性化的角膜补偿。还证明了该装置在青光眼检测中的临床应用。方法:GDX VCC系统是一款与椭圆仪集成的共聚焦扫描激光眼镜镜。图像场为40°(h)×20°(v),覆盖围百百年和眼睛的黄斑区域。可变角膜补偿器由两个相同的线性延迟器组成;角膜双折射是从SLP Matucul图像测量的; VCC的幅度和轴被调整为所需的补偿,并且执行RNFL测量。根据一项研究协议,从美国的5个站点收集临床数据;用GDX获得390次正常眼睛和253只青光眼眼睛的RNFL图像。 VCC系统。开发了规范性数据库和神经网络分类器,使得即使在第一次考试中也可以客观地评估RNFL状态。结果:GDX VCC为每次测量产生4个图像:眼底反射图像,延迟图像,轴图像和Depolarized光图像。角膜双折射幅度和轴在研究人群的范围内变化,确认了VCC的必要性。 GCC在GDX VCC系统中实现的VCC方法和设备良好,从补偿的黄斑延迟图像明显看出。在延迟图像中容易识别出胶石缺陷rnfl损伤,局灶性缺陷和弥漫性缺陷。具有规范数据库的RNFL测量参数提供了目标RNFL评估,这与临床诊断一致。在诊断出现早期青光眼的眼睛中观察到在视野损失之前的RNFL损伤。在RNFL测量和患者组的视野平均偏差之间观察到显着相关性。结论:使用GDX VCC系统实现个性化的角膜补偿。通过GDX VCC技术可以有效地检测到青光眼粗糙的RNFL损坏。规范数据库和神经网络分类器允许在一次考试中诊断。 RNFL测量和脑电图的视野之间的显着关联意味着Glaucatous眼中的偏差表明GDX VCC可以是监测疾病进展的工具。

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