PDF(Pubmed)
Abstract：
Introduction This study proposes the utility of an infrared auto refractometer for meibography and compares miebographs obtained by an auto refractometer to meibographs obtained by a designated meibography machine. Methods A prospective observational comparative study of meibographs of patients with clinical signs of meibomian gland dysfunction (MGD) using a designated meibography machine and an infrared auto refractometer. Five masked, experienced interpreters graded the images of the two machines. The Kappa test was used to calculate Intra-rater and inter-rater agreements between the meibography machine and automated refractor grading of meibomian gland dysfunction. Results High-quality photos of all 30 eyes delineating the meibomian glands (MG) were successfully obtained with both the meibography machine and the autorefractor. Both methods had a good intra-rater agreement (κ= 0.667 to 0.784, average 0.738). Poor to fair interrater agreement was noticed in the grading of autorefractor images (k= -0.030 to 0.343, average 0.092) and poor to moderate agreements between investigators for meibography machine images (K= -0.016 to 0.420, average 0.173). Conclusion A commercially available auto refractometer could capture high-quality non-contact IR digital meibographs.
摘要：
简介本研究提出了红外自动折射计用于显微术的实用性，并将自动折射计获得的显微术与指定的显微术获得的显微术进行了比较。方法使用指定的睑板腺造影机和红外自动折光仪，对具有睑板腺功能障碍（MGD）临床体征的患者的睑板图进行前瞻性观察性比较研究。五个蒙面,经验丰富的口译员对两台机器的图像进行分级。Kappa检验用于计算睑板腺功能障碍的睑板机和自动验光仪分级之间的内部评估者和评估者之间的协议。结果用甲动脉造影机和自动验光仪成功获得了所有30只眼睛描绘睑板腺（MG）的高质量照片。两种方法都有很好的评分者一致性(κ=0.667至0.784，平均0.738)。在自动验光仪图像的分级（k=-0.030至0.343，平均0.092）中发现了较差的评估者之间的一致性（K=-0.016至0.420，平均0.173）。结论市售的自动折光仪可以捕获高质量的非接触式红外数字眼波仪。
