Deviation Maps for Understanding Thickness Changes of Inner Retinal Layers in Children with Type 1 Diabetes Mellitus
Deviation Maps for Understanding Thickness Changes of Inner Retinal Layers in Children with Type 1 Diabetes Mellitus
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用于了解 1 型糖尿病儿童视网膜内层厚度变化的偏差图
DOI：
10.1080/02713683.2019.1591463
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发表时间：
2019
影响因子：
2
通讯作者：
R. K. Prakasam
中科院分区：
文献类型：
--
作者：
R. K. Prakasam
目的：目的分析光学相干断层扫描（OCT）数据中视网膜内层厚度变化的偏差图（DevM）。为了测试一种新的视觉分析（VA）方法，降低复杂性的OCT数据分析比较层厚度的儿童1型糖尿病（T1 DM）匹配controls.Methods：OCT进行单侧眼睛的26例儿童T1 DM无糖尿病视网膜病变和29例健康儿童获得黄斑体积扫描。随后，使用VA分析分割的视网膜内层。产生偏差图以容易地可视化两组之间的厚度差异，并调查个体患者相对于对照组的厚度变化。结果：在患者组的DevM中，总视网膜（TR）表现出局部的、不规则的变薄区域（平均值±标准差），涉及中心凹中心、内黄斑和鼻-鼻外黄斑（−9.31 ± 1.73 µm; p < 0.05）。同样，视网膜神经纤维层在内部和外部黄斑中显示出连续和局部的变薄区域，向鼻侧延伸（−5.45 ± 4.31 µm; p < 0.05）。在DevMs的个别患者，TR和视网膜内层显示厚度的显着变化，存在于患者之间的晚期和早期阶段的diabetes.Conclusion：VA方法简化了深入分析OCT体积数据从不同的群体，是有效的检测视网膜厚度变化的儿童糖尿病。它可以很容易地在临床设置中采用，并直观地用于复杂的多学科研究。
Purpose: To analyze the use of deviation maps (DevMs) to understand thickness changes of inner retinal layers in optical coherence tomography (OCT) data. To test a new visual analytics (VA) method with reduced complexity of OCT data analysis by comparing the layer thickness of children with type 1 diabetes mellitus (T1DM) to matched controls.Methods: OCT was performed on unilateral eyes of 26 children with T1DM without diabetic retinopathy and 29 healthy children to obtain macular volume scans. Subsequently, segmented inner retinal layers were analyzed using VA. Deviation maps were generated to readily visualize thickness differences between both groups and to investigate thickness changes of individual patients in relation to the control group.Results: In DevMs of the patient group, the total retina (TR) demonstrated localized, irregular areas of thinning (mean ± standard deviation) involving foveal center, inner macula, and inferior-nasal outer macula (−9.31 ± 1.73 µm; p < 0.05). Similarly, retinal nerve fiber layer showed continuous and localized areas of thinning in both inner and outer macula, extending nasally (−5.45 ± 4.31 µm; p < 0.05). In DevMs of individual patients, the TR and inner retinal layers revealed remarkable changes in thickness that were present between patients at both late and early stages of diabetes.Conclusion: The VA method simplifies the in-depth analysis of OCT volume data from different groups and is effective in detecting retinal thickness changes in children with diabetes. It can be easily adopted in a clinical set-up and intuitively used in complex multidisciplinary studies.
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影响因子：
4.4
作者：
van Dijk HW;Kok PH;Garvin M;Sonka M;Devries JH;Michels RP;van Velthoven ME;Schlingemann RO;Verbraak FD;Abràmoff MD
通讯作者：
Abràmoff MD
影响因子：
--
作者：
Chan, A;Duker, JS;Schuman, JS
通讯作者：
Schuman, JS
影响因子：
4.6
作者：
Götze A;von Keyserlingk S;Peschel S;Jacoby U;Schreiver C;Köhler B;Allgeier S;Winter K;Röhlig M;Jünemann A;Guthoff R;Stachs O;Fischer DC
通讯作者：
Fischer DC
影响因子：
3.4
作者：
Nelson, Danielle;Mah, Jean K.;Pacaud, Daniele
通讯作者：
Pacaud, Daniele
影响因子：
15.9
作者：
Barber, AJ;Lieth, E;Gardner, TW
通讯作者：
Gardner, TW