Suppr超能文献

内/外节连接部的光谱域光学相干断层扫描图像及黄斑裂孔手术结果。

Spectral-domain optical coherence tomography images of inner/outer segment junctions and macular hole surgery outcomes.

作者信息

Inoue Maiko, Watanabe Yoichiro, Arakawa Akira, Sato Shimpei, Kobayashi Satoshi, Kadonosono Kazuaki

机构信息

Department of Ophthalmology, Yokohama City University Medical Center, Yokohama, Japan.

出版信息

Graefes Arch Clin Exp Ophthalmol. 2009 Mar;247(3):325-30. doi: 10.1007/s00417-008-0999-9. Epub 2008 Nov 19.

Abstract

BACKGROUND

To evaluate the ability of spectral-domain optical coherence tomography (SD-OCT) images of the inner/outer segment (IS/OS) junction to predict macular hole surgery outcomes.

METHODS

Fifty-four eyes in 53 patients with idiopathic macular holes were studied. Postoperative visual acuity and SD-OCT images of the fovea were examined before and 12 months after surgery. The total area and the maximum length of the IS/OS junction defect were measured.

RESULTS

The macular holes were successfully closed in all the eyes included in this series. The mean log MAR visual acuity improved significantly from 0.67 +/- 0.25 preoperatively to 0.16 +/- 0.22 postoperatively (p < 0.001). The mean total area and maximum length of the IS/OS junction defect at 12 months after surgery were 10,185 +/- 1,537 microm(2) and 100.5 +/- 10.4 microm respectively; these values were significantly negatively correlated with the postoperative visual acuity.

CONCLUSION

SD-OCT is useful for quantitatively measuring IS/OS junction defects. The postoperative IS/OS junction may play an important role in visual recovery after macular hole surgery.

摘要

背景

评估内/外节(IS/OS)交界处的频域光学相干断层扫描(SD-OCT)图像预测黄斑裂孔手术结果的能力。

方法

对53例特发性黄斑裂孔患者的54只眼进行研究。在手术前和手术后12个月检查中心凹的术后视力和SD-OCT图像。测量IS/OS交界处缺损的总面积和最大长度。

结果

本系列所有眼中的黄斑裂孔均成功封闭。平均对数最小分辨角视力从术前的0.67±0.25显著提高到术后的0.16±0.22(p<0.001)。术后12个月时,IS/OS交界处缺损的平均总面积和最大长度分别为10,185±1,537平方微米和100.5±10.4微米;这些值与术后视力显著负相关。

结论

SD-OCT可用于定量测量IS/OS交界处缺损。术后IS/OS交界处可能在黄斑裂孔手术后的视力恢复中起重要作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验