机构：[1]Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China首都医科大学附属北京同仁医院首都医科大学附属同仁医院[2]Beijing Institute of Ophthalmology, Beijing, China研究所眼科研究所首都医科大学附属北京同仁医院首都医科大学附属同仁医院[3]Queensland Eye Institute, Brisbane, Australia[4]University of Queensland, Brisbane, Australia[5]Nanjing Tongren Hospital, Jiangsu, China[6]State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China[7]Department of Surgery, University of Melbourne, Melbourne, Australia[8]Ophthalmology, Centre for Eye Research Australia, Melbourne, Australia
Purpose: To establish and evaluate algorithms for detection of primary angle closure suspects (PACS), the risk factor for primary angle closure disease by combining multiple static and dynamic anterior segment optical coherence tomography (ASOCT) parameters. Methods: Observational, cross-sectional study. The right eyes of subjects aged >= 40 years who participated in the 5-year follow-up of the Handan Eye Study, and underwent gonioscopy and ASOCT examinations under light and dark conditions were included. All ASOCT images were analyzed by Zhongshan Angle Assessment Program. Backward logistic regression (BLR) was used for inclusion of variables in the prediction models. BLR, naive Bayes' classification (NBC), and neural network (NN) were evaluated and compared using the area under the receiver operating characteristic curve (AUC). Results: Data from 744 subjects (405 eyes with PACS and 339 normal eyes) were analyzed. Angle recess area at 750 mu m, anterior chamber volume, lens vault in light and iris cross-sectional area change/pupil diameter change were included in the prediction models. The AUCs of BLR, NBC, and NN were 0.827 (95% confidence interval [CI], 0.7980.856), 0.826 (95% CI, 0.797-0.854), and 0.844 (95% CI, 0.817-0.871), respectively. No significant statistical differences were found between the three algorithms (P = 0.622). Conclusions: The three algorithms did not meet the requirements for population-based screening of PACS. One possible reason could be the different angle closure mechanisms in enrolled eyes. Translational Relevance: This study provides a promise for basis for future research directed toward the development of an image-based, noncontact method to screen for angle closure.
基金：
research special fund of the Ministry of Health of the People's Republic of China [201002019]; National Natural Science Foundation of China (NSFC) [81900847]
第一作者机构：[1]Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China
通讯作者：
通讯机构：[1]Beijing Tongren Eye Center, Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Hospital, Capital Medical University, Beijing, China[2]Beijing Institute of Ophthalmology, Beijing, China[*1]Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University[*2]Beijing Key Laboratory of Ophthalmology and Visual Sciences. No. 1 Dong Jiao Min Xiang Street, Dongcheng District, Beijing 100730, People’s Republic of China.
推荐引用方式(GB/T 7714)：
Zhang Ye,Zhang Qing,Li Lei,et al.Establishment and Comparison of Algorithms for Detection of Primary Angle Closure Suspect Based on Static and Dynamic Anterior Segment Parameters[J].TRANSLATIONAL VISION SCIENCE & TECHNOLOGY.2020,9(5):doi:10.1167/tvst.9.5.16.
APA：
Zhang, Ye,Zhang, Qing,Li, Lei,Thomas, Ravi,Li, Si Zhen...&Li Wang, Ning.(2020).Establishment and Comparison of Algorithms for Detection of Primary Angle Closure Suspect Based on Static and Dynamic Anterior Segment Parameters.TRANSLATIONAL VISION SCIENCE & TECHNOLOGY,9,(5)
MLA：
Zhang, Ye,et al."Establishment and Comparison of Algorithms for Detection of Primary Angle Closure Suspect Based on Static and Dynamic Anterior Segment Parameters".TRANSLATIONAL VISION SCIENCE & TECHNOLOGY 9..5(2020)
