Janunts Edgar, Langenbucher Achim, Seitz Berthold
*Institute of Experimental Ophthalmology, University of Saarland, Homburg, Saar, Germany; and†Department of Ophthalmology, Saarland University Medical Center, Homburg, Saar, Germany.
Cornea. 2016 May;35(5):647-53. doi: 10.1097/ICO.0000000000000761.
The aim of this study was to establish a tomographic screening method for revealing potential pathologies in corneal donors before keratoplasty so they may be excluded as candidates for corneal transplantation.
Donor corneal tomographies were measured in a viewing chamber filled with preservation medium and with the use of a clinical optical coherence tomography (OCT) device. Custom-written software was developed to extract corneal surfaces from the raw data, which were analyzed in the central and peripheral regions. An adaptive nonlinear edge-enhancement algorithm was used to observe scars within the corneal volume. The thickness distribution map was analyzed to detect keratoconus and corneas with extreme topographic irregularities. Measurements were repeated 5 times to assess reproducibility.
Eight corneas were investigated: 6 randomly selected intact donors, unsuitable for implantation because of low endothelial cell densities, and 2 keratoconus corneas, excised from patients during corneal transplantation. A major thickness abnormality was detected in one of the intact donor corneas, so it was excluded from further analysis. The keratoconus corneas were clearly evident in optical coherence tomography cross-sectional images, and similarly, they could easily be identified by analyzing the thickness map. Overall, the measurements were reliable and had a Cronbach's alpha coefficient greater than 0.8.
Donor corneal examination using sterile viewing chambers was found to be suitable as a pre-keratoplasty advanced screening routine. A proof of concept was demonstrated, which could identify both irregular corneas and those affected by keratoconus.
本研究的目的是建立一种断层扫描筛查方法,以揭示角膜移植术前角膜供体潜在的病变,从而将其排除在角膜移植候选者之外。
在充满保存介质的观察室中,使用临床光学相干断层扫描(OCT)设备测量供体角膜断层图像。开发了定制软件,从原始数据中提取角膜表面,并在中央和周边区域进行分析。使用自适应非线性边缘增强算法观察角膜体积内的瘢痕。分析厚度分布图以检测圆锥角膜和地形极度不规则的角膜。重复测量5次以评估可重复性。
研究了8只角膜:6只随机选择的完整供体角膜,因内皮细胞密度低而不适于植入,以及2只圆锥角膜,在角膜移植期间从患者身上切除。在其中一只完整供体角膜中检测到主要厚度异常,因此将其排除在进一步分析之外。圆锥角膜在光学相干断层扫描横截面图像中清晰可见,同样,通过分析厚度图也可以很容易地识别它们。总体而言,测量结果可靠,Cronbach's alpha系数大于0.8。
发现使用无菌观察室进行供体角膜检查适合作为角膜移植术前的高级筛查常规操作。证明了一种概念验证方法,该方法可以识别不规则角膜和圆锥角膜。