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应用扫频源光学相干断层扫描定量评估白内障术后后囊膜混浊。

Objective quantification of posterior capsule opacification after cataract surgery with swept-source optical coherence tomography.

机构信息

Department of Ophthalmology, Tenth People's Hospital Affiliated of Tongji University, Shanghai, China.

Department of Ophthalmology, Rui Jin Hospital, LuWan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

BMC Ophthalmol. 2023 Jul 5;23(1):299. doi: 10.1186/s12886-023-03064-3.

DOI:10.1186/s12886-023-03064-3
PMID:37407917
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10324270/
Abstract

PURPOSE

To evaluate the application of swept-source optical coherence tomography (SS-OCT) and pentacam scheimpflug tomography in posterior capsule opacification (PCO) severity assessment.

METHODS

The posterior capsule image region segmentation and adaptive threshold algorithm are used to process the SS-OCT scanned image to obtain the posterior capsule thickness (PCT). Scheimpflug tomography reconstructed and analysized by image J software can obtain the average gray value and evaluate the effectiveness with the two methods.

RESULT

One hundred sixty-two IOL eyes of 101 patients were divided into two groups, laser group (65 eyes) with the mean PCT was 8.0 ± 2.7 pixel unit and the mean gray value of the eyes was 66 ± 33 pixel unit. However, these figures in the control group (97 eyes) were 5.0 ± 0.9 and 11 ± 17. The sensitivity, specificity and area under curve(AUC) of SS-OCT PCT were 85%, 74% and 0.942,the sensitivity, specificity and AUC of Pentacam gray value were 91%, 76% and 0.947, respectively. After using the multivariable model of generalized estimation equation to corrected the dependence of subjects' eyes, it was found that SS-OCT PCT, Pentacam gray value, low vision quality of life questionnaire (LVQ questionnaire) for distance vision, and mobility and lighting dimension were significantly correlated with the PCO score (P = 0.012, P = 0.001, P = 0.005, respectively).

CONCLUSION

The region segmentation and adaptive threshold algorithm of posterior capsule image will accurately quantify the posterior capsule. Computer aided quantifications of posterior capsule are of great significance in the early surgical decision-making of PCO. The average occurrence time of most PCO was around 34 months, and the severity of PCO worsened with increasing postoperative time.

摘要

目的

评估扫频源光学相干断层扫描(SS-OCT)和 Pentacam Scheimpflug 断层扫描在后发性白内障(PCO)严重程度评估中的应用。

方法

采用后囊图像区域分割和自适应阈值算法对 SS-OCT 扫描图像进行处理,获得后囊厚度(PCT)。通过图像 J 软件对 Scheimpflug 断层扫描进行重建和分析,可以获得平均灰度值,并使用这两种方法进行效果评估。

结果

101 例患者的 162 只眼分为两组,激光组(65 只眼)平均 PCT 为 8.0±2.7 像素单位,眼平均灰度值为 66±33 像素单位;而对照组(97 只眼)分别为 5.0±0.9 和 11±17。SS-OCT PCT 的敏感性、特异性和曲线下面积(AUC)分别为 85%、74%和 0.942,Pentacam 灰度值的敏感性、特异性和 AUC 分别为 91%、76%和 0.947。使用广义估计方程的多变量模型校正受试者眼睛的相关性后,发现 SS-OCT PCT、Pentacam 灰度值、远距离视力生活质量问卷(LVQ 问卷)、移动和照明维度与 PCO 评分显著相关(P=0.012、P=0.001、P=0.005)。

结论

后囊图像的区域分割和自适应阈值算法可以准确量化后囊。计算机辅助量化后囊在 PCO 的早期手术决策中具有重要意义。大多数 PCO 的平均发生时间约为 34 个月,PCO 的严重程度随着术后时间的增加而恶化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/d016f61efec3/12886_2023_3064_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/d25c79c4bac0/12886_2023_3064_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/b45f33fa06d8/12886_2023_3064_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/f748568e6e83/12886_2023_3064_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/0bed8fffa342/12886_2023_3064_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/2cc6716ee05a/12886_2023_3064_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/d016f61efec3/12886_2023_3064_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/d25c79c4bac0/12886_2023_3064_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/b45f33fa06d8/12886_2023_3064_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/f748568e6e83/12886_2023_3064_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/0bed8fffa342/12886_2023_3064_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/2cc6716ee05a/12886_2023_3064_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb26/10324270/d016f61efec3/12886_2023_3064_Fig6_HTML.jpg

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