三种伴有婴幼儿角膜混浊的前节发育不良疾病的临床和影像诊断概况。

IF 1 Q4 OPHTHALMOLOGY Taiwan Journal of Ophthalmology Pub Date : 2023-12-20 eCollection Date: 2023-10-01 DOI:10.4103/tjo.TJO-D-23-00134
Ananya Kaginalkar, Radhika Tandon, M Vanathi, Noopur Gupta, Viney Gupta, Seema Sen, Seema Kashyap, Arundhati Sharma
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引用次数: 0

摘要

目的:利用超声生物显微镜(UBM)和显微镜一体化术中光学相干断层扫描(i-OCT)等成像模式,从临床特征、组织病理学、遗传关联以及成像诊断概况等方面描述三种伴有婴幼儿角膜翳的前节发育不良疾病,即先天性遗传性内皮营养不良(CHED)、原发性先天性青光眼(PCG)和彼得斯异常(PA):对74只眼睛进行了临床评估,其中22只眼睛为CHED,28只眼睛为PA,24只眼睛为PCG,并使用UBM和i-OCT进行了成像。对 16 名手术患者的角膜瓣进行了组织病理学分析,并使用全基因组测序技术对 23 名患者进行了基因分析:结果:角膜直径(CD)和前房深度(ACD)、虹膜厚度(IT)和睫状体厚度(CB)等 UBM 参数显示,三个类别之间存在显著的统计学差异。在 PA 中,有 9 只眼睛具有第三种罕见的表型,即只有后角膜缺损,没有虹膜粘连。所有接受检测的 CHED 患者、83.3% 的 PCG 患者和 80% 的第三种 PA 患者都出现了基因突变。i-OCT 有助于确定角膜混浊的特征、识别角膜后部缺损、虹膜角膜粘连和 Descemet's 膜的轮廓:i-OCT有助于以高分辨率、非接触方式对疾病进行分类,并能更好地描述角膜特征。罕见的第三种 PA 表型可能与遗传有关。
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Clinical and diagnostic imaging profile of three anterior segment dysgenesis disorders presenting with infantile corneal opacities.

Purpose: To describe three anterior segment dysgenesis disorders with infantile corneal opacities, namely, congenital hereditary endothelial dystrophy (CHED), primary congenital glaucoma (PCG), and Peters anomaly (PA) in terms of clinical characteristics, histopathology, genetic association, and diagnostic imaging profiles using imaging modalities such as ultrasound biomicroscopy (UBM) and microscope-integrated intraoperative optical coherence tomography (i-OCT).

Materials and methods: Seventy-four eyes with 22 eyes of CHED, 28 eyes of PA, and 24 eyes of PCG were clinically evaluated and underwent imaging using UBM and i-OCT. Corneal buttons of 16 operated patients underwent histopathological analysis, while genetic analysis was done in 23 patients using whole-exome sequencing.

Results: Corneal diameters (CD) and UBM parameters like anterior chamber depth (ACD), iris thickness (IT), and ciliary body (CB) thickness revealed a statistically significant difference between the three categories. In PA, 9 eyes had a third rare phenotype with only a posterior corneal defect with no iris adhesions. Genetic mutations were seen in all tested patients with CHED, in 83.3% of patients with PCG, and in 80% of patients with the third type of PA. i-OCT helped in the characterization of corneal opacity, identification of posterior corneal defects, iridocorneal adhesions, and contour of Descemet's membrane.

Conclusion: Overlapping phenotypes of the above disorders cause a diagnostic dilemma and parameters like CDs, UBM ACD, IT, and CB thickness help differentiate between them. i-OCT can help in classifying the diseases in a high resolution, non-contact manner, and can better delineate corneal characteristics. The rare third type of PA phenotype may have a genetic association.

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来源期刊
CiteScore
1.80
自引率
9.10%
发文量
68
审稿时长
19 weeks
期刊最新文献
Advancing glaucoma care with big data and artificial intelligence innovations. Application of artificial intelligence in glaucoma care: An updated review. Artificial intelligence and big data integration in anterior segment imaging for glaucoma. Big data and electronic health records for glaucoma research. Big data for imaging assessment in glaucoma.
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