Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images

Liu, Peng1,2,3; Higashita, Risa3,4; Guo, Philip Yawen5; Okamoto, Keiichiro4; Li, Fei6; Nguyen, Anwell7; Sakata, Rei8; Duan, Lixin1,2; Aihara, Makoto8; Lin, Shan7,9; Zhang, Xiulan6; Leung, Christopher Kai-Shun5; Liu, Jiang3,10,11,12

2022

10.1136/bjophthalmol-2021-319798

BRITISH JOURNAL OF OPHTHALMOLOGY   影响因子和分区

0007-1161

1468-2079

Aims To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior segment optical coherence tomography (AS-OCT) images and compare the reproducibility of anterior chamber angle (ACA) width between deep learning located SS (DLLSS) and manually plotted SS (MPSS). Methods In this multicentre, cross-sectional study, a test dataset comprising 5166 AS-OCT images from 287 eyes (116 healthy eyes with open angles and 171 eyes with primary angle-closure disease (PACD)) of 287 subjects were recruited from four ophthalmology clinics. Each eye was imaged twice by a swept-source AS-OCT (CASIA2, Tomey, Nagoya, Japan) in the same visit and one eye of each patient was randomly selected for measurements of ACA. The agreement between DLLSS and MPSS was assessed using the Euclidean distance (ED). The angle opening distance (AOD) of 750 mu m (AOD750) and trabecular-iris space area (TISA) of 750 mu m (TISA750) were calculated using the CASIA2 embedded software. The repeatability of ACA width was measured. Results The mean age was 60.8 +/- 12.3 years (range: 30-85 years) for the normal group and 63.4 +/- 10.6 years (range: 40-91 years) for the PACD group. The mean difference in ED for SS localisation between DLLSS and MPSS was 66.50 +/- 20.54 mu m and 84.78 +/- 28.33 mu m for the normal group and the PACD group, respectively. The span of 95% limits of agreement between DLLSS and MPSS was 0.064 mm for AOD750 and 0.034 mm(2) for TISA750. The respective repeatability coefficients of AOD750 and TISA750 were 0.049 mm and 0.026 mm(2) for DLLSS, and 0.058 mm and 0.030 mm(2) for MPSS. Conclusion DLLSS achieved comparable repeatability compared with MPSS for measurement of ACA.

anterior chamber glaucoma

SCI

英语

通讯

Guangdong Provincial Department of Education[2020ZDZX3043] ; Guangdong Provincial Key Laboratory[2020B121201001] ; Shenzhen Natural Science Fund[JCYJ20200109140820699] ; Stable Support Plan Program[20200925174052004]

Ophthalmology

Ophthalmology

WOS:000749759300001

BMJ PUBLISHING GROUP

CLINICAL MEDICINE

Web of Science

1.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Peoples R China
2.Univ Elect Sci & Technol China, Shenzhen Inst Adv Study, Chengdu, Peoples R China
3.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Peoples R China
4.Tomey Corp, Nagoya, Aichi, Japan
5.Chinese Univ Hong Kong, Dept Ophthalmol & Visual Sci, Hong Kong, Peoples R China
6.Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou, Peoples R China
7.Univ Calif San Francisco, Dept Ophthalmol, San Francisco, CA 94143 USA
8.Univ Tokyo, Dept Ophthalmol, Tokyo, Japan
9.Glaucoma Ctr San Francisco, San Francisco, CA USA
10.Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo, Peoples R China
11.Southern Univ Sci & Technol, Res Inst Trustworthy Autonomous Syst, Shenzhen, Peoples R China
12.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Guangdong Prov Key Lab Brain Inspired Intelligent, Shenzhen, Peoples R China

Liu, Peng,Higashita, Risa,Guo, Philip Yawen,et al. Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images[J]. BRITISH JOURNAL OF OPHTHALMOLOGY,2022,107(6).

Liu, Peng.,Higashita, Risa.,Guo, Philip Yawen.,Okamoto, Keiichiro.,Li, Fei.,...&Liu, Jiang.(2022).Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images.BRITISH JOURNAL OF OPHTHALMOLOGY,107(6).

Liu, Peng,et al."Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images".BRITISH JOURNAL OF OPHTHALMOLOGY 107.6(2022).