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手动提上睑最大限度显露可见视网膜面积与糖尿病视网膜病变严重程度分级及超广角成像时主要周边病变检出的相关性。

Association of Maximizing Visible Retinal Area by Manual Eyelid Lifting With Grading of Diabetic Retinopathy Severity and Detection of Predominantly Peripheral Lesions When Using Ultra-Widefield Imaging.

机构信息

Beetham Eye Institute, Joslin Diabetes Center, Boston, Massachusetts.

Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts.

出版信息

JAMA Ophthalmol. 2022 Apr 1;140(4):421-425. doi: 10.1001/jamaophthalmol.2021.6363.

Abstract

IMPORTANCE

Methods that increase visible retinal area (VRA; measured in millimeters squared) may improve identification of diabetic retinopathy (DR) lesions.

OBJECTIVE

To evaluate the association of dilation and manual eyelid lifting (MLL) with VRA on ultra-widefield imaging (UWFI) and the association of VRA with grading of DR severity and detection of predominantly peripheral lesions (PPLs).

DESIGN, SETTING, AND PARTICIPANTS: Retrospective, comparative case-control study at the Joslin Diabetes Center, Boston, Massachusetts. Nonmydriatic UWFI with MLL was acquired from a DR teleophthalmology program (Joslin Vision Network [JVN]). A second cohort of mydriatic UWFI was acquired at an academic retina practice (Beetham Eye Institute [BEI]) from November 6, 2017, to November 6, 2018, and with MLL thereafter until November 6, 2019. Fully automated algorithms determined VRA and hemorrhage and/or microaneurysm (HMA) counts. Predominantly peripheral lesions and HMAs were defined as present when at least 1 field had greater HMA number in the peripheral retina than within the corresponding Early Treatment Diabetic Retinopathy Study field. Participants included 3014 consecutive patients (5919 eyes) undergoing retinal imaging at JVN and BEI.

EXPOSURES

Dilation and MLL performed at the time of UWFI.

MAIN OUTCOMES AND MEASURES

Visible retinal area, DR severity, and presence of PPLs.

RESULTS

Of the 3014 participants, mean (SD) age was 56.1 (14.5) years, 1302 (43.2%) were female, 2450 (81.3%) were White, and mean (SD) diabetes duration was 15.9 (11.4) years. All images from 5919 eyes with UWFI were analyzed. Mean (SD) VRA was 665.1 (167.6) mm2 for all eyes (theoretical maximal VRA, 923.9 mm2), 550.8 (240.7) mm2 for nonmydriatic JVN with MLL (1418 eyes [24.0%]), 688.1 (119.9) mm2 for mydriatic BEI images (3650 eyes [61.7%]), and 757.0 (69.7) mm2 for mydriatic and MLL BEI images (851 eyes [14.4%]). Dilation increased VRA by 25% (P < .001) and MLL increased VRA an additional 10% (P < .001). Nonmydriatic MLL increased VRA by 11.0%. With MLL, HMA counts in UWFI fields increased by 41.7% (from 4.8 to 6.8; P < .001). Visible retinal area was moderately associated with increasing PPL-HMA overall and in each cohort (all, r = 0.33; BEI, r = 0.29; JVN, r = 0.36; P < .001). In JVN images, increasing VRA was associated with more PPL-HMA (quartile 1 [Q1], 23.7%; Q2, 45.8%; Q3, 60.6%; and Q4, 69.2%; P < .001).

CONCLUSIONS AND RELEVANCE

Using fully automated VRA and HMA detection algorithms, pupillary dilation and eyelid lifting were shown to substantially increase VRA and PLL-HMA detection. Given the importance of HMA and PPL for determining risk of DR progression, these findings emphasize the importance of maximizing VRA for optimal risk assessment in clinical trials and teleophthalmology programs.

摘要

重要性

增加可见视网膜面积(VRA;以平方毫米为单位测量)的方法可能有助于识别糖尿病视网膜病变(DR)病变。

目的

评估散瞳和手动眼睑提升(MLL)与超广角成像(UWFI)上的 VRA 的关联,以及 VRA 与 DR 严重程度分级和主要周边病变(PPL)检测的关联。

设计、设置和参与者:回顾性、病例对照研究,在马萨诸塞州波士顿的 Joslin 糖尿病中心进行。DR 远程眼科计划(Joslin 视觉网络 [JVN])获取非散瞳 UWFI 并进行 MLL。2017 年 11 月 6 日至 2018 年 11 月 6 日,在学术视网膜实践 Beetham Eye Institute [BEI] 获取散瞳 UWFI,并在此后直至 2019 年 11 月 6 日进行 MLL。全自动算法确定 VRA 和出血和/或微动脉瘤(HMA)计数。当至少 1 个视野的周边视网膜的 HMA 数量大于相应的早期糖尿病视网膜病变研究视野时,定义为存在主要周边病变和 HMA。参与者包括在 JVN 和 BEI 进行视网膜成像的 3014 名连续患者(5919 只眼)。

暴露

在 UWFI 时进行散瞳和 MLL。

主要结果和措施

可见视网膜面积、DR 严重程度和 PPL 的存在。

结果

在 3014 名参与者中,平均(SD)年龄为 56.1(14.5)岁,1302 名(43.2%)为女性,2450 名(81.3%)为白人,平均(SD)糖尿病病程为 15.9(11.4)年。分析了所有 5919 只眼的 UWFI 图像。所有眼睛的平均(SD)VRA 为 665.1(167.6)mm2(理论最大 VRA,923.9 mm2),非散瞳 JVN 伴 MLL 的 1418 只眼(24.0%)为 550.8(240.7)mm2,散瞳 BEI 图像的 3650 只眼(61.7%)为 688.1(119.9)mm2,散瞳和 MLL BEI 图像的 851 只眼(14.4%)为 757.0(69.7)mm2。散瞳增加 VRA 25%(P < .001),MLL 进一步增加 10%(P < .001)。非散瞳 MLL 增加 VRA 11.0%。使用 MLL 后,UWFI 视野中的 HMA 计数增加了 41.7%(从 4.8 增加到 6.8;P < .001)。可见视网膜面积与整体和每个队列中 PPL-HMA 的增加呈中度相关(均,r = 0.33;BEI,r = 0.29;JVN,r = 0.36;P < .001)。在 JVN 图像中,VRA 的增加与更多的 PPL-HMA 相关(四分位 1 [Q1],23.7%;Q2,45.8%;Q3,60.6%;Q4,69.2%;P < .001)。

结论和相关性

使用全自动 VRA 和 HMA 检测算法,瞳孔扩张和眼睑提升被证明可以显著增加 VRA 和 PPL-HMA 的检测。鉴于 HMA 和 PPL 对确定 DR 进展风险的重要性,这些发现强调了在临床试验和远程眼科计划中最大限度地增加 VRA 以进行最佳风险评估的重要性。

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