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糖尿病视网膜病变中视网膜病变的检测:七视野数字彩色摄影与无赤光摄影的比较评估

Detection of retinal lesions in diabetic retinopathy: comparative evaluation of 7-field digital color photography versus red-free photography.

作者信息

Venkatesh Pradeep, Sharma Reetika, Vashist Nagender, Vohra Rajpal, Garg Satpal

机构信息

Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, E-104, AIIMS Campus, Ansari Nagar (East), New Delhi, 110029, India,

出版信息

Int Ophthalmol. 2015 Oct;35(5):635-40. doi: 10.1007/s10792-012-9620-7. Epub 2012 Sep 8.

Abstract

Red-free light allows better detection of vascular lesions as this wavelength is absorbed by hemoglobin; however, the current gold standard for the detection and grading of diabetic retinopathy remains 7-field color fundus photography. The goal of this study was to compare the ability of 7-field fundus photography using red-free light to detect retinopathy lesions with corresponding images captured using standard 7-field color photography. Non-stereoscopic standard 7-field 30° digital color fundus photography and 7-field 30° digital red-free fundus photography were performed in 200 eyes of 103 patients with various grades of diabetic retinopathy ranging from mild to moderate non-proliferative diabetic retinopathy to proliferative diabetic retinopathy. The color images (n = 1,400) were studied with corresponding red-free images (n = 1,400) by one retina consultant (PV) and two senior residents training in retina. The various retinal lesions [microaneurysms, hemorrhages, hard exudates, soft exudates, intra-retinal microvascular anomalies (IRMA), neovascularization of the retina elsewhere (NVE), and neovascularization of the disc (NVD)] detected by all three observers in each of the photographs were noted followed by determination of agreement scores using κ values (range 0-1). Kappa coefficient was categorized as poor (≤0), slight (0.01-0.20), fair (0.2 -0.40), moderate (0.41-0.60), substantial (0.61-0.80), and almost perfect (0.81-1). The number of lesions detected by red-free images alone was higher for all observers and all abnormalities except hard exudates. Detection of IRMA was especially higher for all observers with red-free images. Between image pairs, there was substantial agreement for detection of hard exudates (average κ = 0.62, range 0.60-0.65) and moderate agreement for detection of hemorrhages (average κ = 0.52, range 0.45-0.58), soft exudates (average κ = 0.51, range 0.42-0.61), NVE (average κ = 0.47, range 0.39-0.53), and NVD (average κ = 0.51, range 0.45-0.54). Fair agreement was noted for detection of microaneurysms (average κ = 0.29, range 0.20-0.39) and IRMA (average κ = 0.23, range 0.23-0.24). Inter-observer agreement with color images was substantial for hemorrhages (average κ = 0.72), soft exudates (average κ = 0.65), and NVD (average κ = 0.65); moderate for microaneurysms (average κ = 0.42), NVE (average κ = 0.44), and hard exudates (average κ = 0.59) and fair for IRMA (average κ = 0.21). Inter-observer agreement with red-free images was substantial for hard exudates (average κ = 0.63) and moderate for detection of hemorrhages (average κ = 0.56), SE (average κ = 0.60), IRMA (average κ = 0.50), NVE (average κ = 0.44), and NVD (average κ = 0.45). Digital red-free photography has a higher level of detection ability for all retinal lesions of diabetic retinopathy. More advanced grades of retinopathy are likely to be detected earlier with red-free imaging because of its better ability to detect IRMA, NVE, and NVD. Red-free monochromatic imaging of the retina is a more effective and less costly alternative for detection of vision-threatening diabetic retinopathy.

摘要

无赤光能够更好地检测血管病变,因为该波长会被血红蛋白吸收;然而,糖尿病视网膜病变检测和分级的当前金标准仍然是七视野彩色眼底照相。本研究的目的是比较使用无赤光的七视野眼底照相与使用标准七视野彩色照相拍摄的相应图像检测视网膜病变的能力。对103例患有从轻度至中度非增殖性糖尿病视网膜病变到增殖性糖尿病视网膜病变等不同等级糖尿病视网膜病变的患者的200只眼睛进行了非立体标准七视野30°数字彩色眼底照相和七视野30°数字无赤光眼底照相。一位视网膜顾问(PV)以及两名接受视网膜培训的高级住院医师对彩色图像(n = 1400)和相应的无赤光图像(n = 1400)进行了研究。记录三位观察者在每张照片中检测到的各种视网膜病变[微动脉瘤、出血、硬性渗出、软性渗出、视网膜内微血管异常(IRMA)、视网膜其他部位新生血管(NVE)和视盘新生血管(NVD)],随后使用κ值(范围0 - 1)确定一致性评分。κ系数分为差(≤0)、轻微(0.01 - 0.20)、一般(0.2 - 0.40)、中等(0.41 - 0.60)、显著(0.61 - 0.80)和几乎完美(0.81 - 1)。除硬性渗出外,所有观察者通过无赤光图像单独检测到的病变数量对于所有异常情况均更高。所有观察者通过无赤光图像检测IRMA的能力尤其更高。在图像对之间,对于硬性渗出的检测有显著一致性(平均κ = 0.62,范围0.60 - 0.65),对于出血(平均κ = 0.52,范围0.45 - 0.58)、软性渗出(平均κ = 0.51,范围0.42 - 0.61)、NVE(平均κ = 0.47,范围0.39 - 0.53)和NVD(平均κ = 0.51,范围0.45 - 0.54)的检测有中等一致性。对于微动脉瘤(平均κ = 0.29,范围0.20 - 0.39)和IRMA(平均κ = 0.23,范围0.23 - 0.24)的检测有一般一致性。观察者之间对于彩色图像在出血(平均κ = 0.72)、软性渗出(平均κ = 0.65)和NVD(平均κ = 0.65)方面有显著一致性;在微动脉瘤(平均κ = 0.42)、NVE(平均κ = 0.44)和硬性渗出(平均κ = 0.59)方面有中等一致性,在IRMA(平均κ = 0.21)方面有一般一致性。观察者之间对于无赤光图像在硬性渗出(平均κ = 0.63)方面有显著一致性,在出血(平均κ = 0.56)、软性渗出(平均κ = 0.60)、IRMA(平均κ = 0.50)、NVE(平均κ = 0.44)和NVD(平均κ = 0.45)的检测方面有中等一致性。数字无赤光摄影对于糖尿病视网膜病变的所有视网膜病变具有更高水平的检测能力。由于其检测IRMA、NVE和NVD的能力更强,更高级别的视网膜病变可能通过无赤光成像更早被检测到。视网膜无赤光单色成像对于检测威胁视力的糖尿病视网膜病变是一种更有效且成本更低的替代方法。

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