Evaluation of the Diagnostic Performance of Swept-Source Anterior Segment Optical Coherence Tomography in Primary Angle Closure Disease

Ma, Ping; Wu, Yanyan; Oatts, Julius T.; Patlidanon, Jutima; Yu, Yinxi; Ying, Gui‐Shuang; Kline, Brad; Tun, Tin A.; He, Miao; Aung, Tin; Li, Shuning; Yang, Yangfan; Han, Ying

doi:10.1016/j.ajo.2021.06.033

Cited by 10 publications

(14 citation statements)

References 40 publications

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“…With the advancement of OCT technology, the current ultrahigh resolution of OCT can obtain very clear imaging of various structures in the anterior segment of the eye, and AS-OCT has been successfully used in the diagnosis of a variety of anterior segment diseases [ 9 – 11 ]. Ma et al [ 12 ] reported that SS-OCT showed excellent diagnostic ability in distinguishing primary angle closure disease (PACD) from the healthy population and showed moderate diagnostic performance in distinguishing primary angle closure/primary angle closure glaucoma (PAC/PACG) from primary angle closure suspect (PACS). However, the use of SS-OCT in the diagnosis of CEL patients has not been reported by far.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study

Jin

Zou

et al. 2022

Journal of Ophthalmology

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Purpose. To investigate the characteristics of anterior chamber angle parameters in congenital ectopia lentis (CEL) patients and to evaluate the sensitivity and specificity of anterior segment parameters in distinguishing CEL from healthy controls. Setting. Zhongshan Ophthalmic Center, Guangzhou, China. Design. Cross-sectional study. Methods. 35 CEL patients and 35 age- and sex-matched healthy controls were recruited. Axial length (AL) and anterior segment parameters including anterior chamber width (ACW), angle open distance (AOD), angle recess area (ARA), trabecular-iris space area (TISA), and trabecular-iris angle (TIA) were measured. All the above parameters and the ratio index of angle parameters, which was defined as the angle parameter value of the narrower side to that of the contralateral side, were compared between CEL and controls. Receiver operating characteristic (ROC) curves were also plotted to evaluate the diagnostic performance of anterior chamber angle parameters in CEL patients. Results. All angle parameters of the contralateral side to the dislocated lens side were significantly smaller than those of the dislocated lens side in CEL (all P < 0.05 ). For the diagnostic performance of anterior chamber angle parameters, the ratio index of TIAr500 combined with TIAr750 had the best diagnostic performance for CEL screening (AUC = 0.798), and TIAr500 of 0.887 and TIAr750 of 0.917 were detected to be the optimal cut-off points, representing a sensitivity of 89.8% and specificity of 68.7%. Conclusion. The contralateral side to the dislocated lens side in the CEL had a narrower anterior chamber angle. TIAr500 combined with TIAr750 is the optimal combination strategy for ectopia lentis screening.

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Section: Discussionmentioning

confidence: 99%

Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study

Jin

Zou

et al. 2022

Journal of Ophthalmology

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“…Anterior chamber depth has been demonstrated to be a screening tool for angle closure glaucoma (6)(7)(8). Devereux et al reported that, using a screening cutoff of < 2.22 mm, ACD got a sensitivity of 85% and specificity of 84% for detecting occludable angles (8).…”

Section: Discussionmentioning

confidence: 99%

“…Devereux et al reported that, using a screening cutoff of < 2.22 mm, ACD got a sensitivity of 85% and specificity of 84% for detecting occludable angles (8). A recent study presented a higher sensitivity of 90.2% and specificity of 85.2% using the same cutoff value for distinguishing PACD from normal eyes (6). Angle closure glaucoma is an important public health problem in Asians due to its higher rate of visual morbidity.…”

Section: Discussionmentioning

confidence: 99%

“…Another population-based longitudinal study in China demonstrated that shallow ACD was independently associated with angle closure development over a 6-year period ( 5 ). Anterior chamber depth alone may provide a simple and effective way to distinguish eyes with angle closure from those with open angles ( 6 ), and has been suggested as a quick screening tool for detecting primary angle closure disease (PACD) ( 7 , 8 ).…”

Section: Introductionmentioning

confidence: 99%

“…Currently, the methods used for ACD measurement include A-Scan ultrasound, slit-lamp biomicroscopy, non-contact partial coherence interferometry [e.g., IOLMaster (Carl Zeiss AG, Oberkochen, Germany), Lenstar (Lenstar LS 900®, Haag-Streit AG, Switzerland), Pentacam (Oculus System, Wetzlar, Germany)], and anterior segment optical coherence tomography (AS-OCT) ( 6 , 9 ). However, the need for technical expertise, along with the cost and lack of portability, limit their usage in community screening ( 8 , 9 ).…”

Section: Introductionmentioning

confidence: 99%

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Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study

et al. 2022

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PurposeTo develop a deep learning (DL) algorithm for predicting anterior chamber depth (ACD) from smartphone-acquired anterior segment photographs.MethodsFor algorithm development, we included 4,157 eyes from 2,084 Chinese primary school students (aged 11–15 years) from Mojiang Myopia Progression Study (MMPS). All participants had with ACD measurement measured with Lenstar (LS 900) and anterior segment photographs acquired from a smartphone (iPhone Xs), which was mounted on slit lamp and under diffuses lighting. The anterior segment photographs were randomly selected by person into training (80%, no. of eyes = 3,326) and testing (20%, no. of eyes = 831) dataset. We excluded participants with intraocular surgery history or pronounced corneal haze. A convolutional neural network was developed to predict ACD based on these anterior segment photographs. To determine the accuracy of our algorithm, we measured the mean absolute error (MAE) and coefficient of determination (R2) were evaluated. Bland Altman plot was used to illustrate the agreement between DL-predicted and measured ACD values.ResultsIn the test set of 831 eyes, the mean measured ACD was 3.06 ± 0.25 mm, and the mean DL-predicted ACD was 3.10 ± 0.20 mm. The MAE was 0.16 ± 0.13 mm, and R2 was 0.40 between the predicted and measured ACD. The overall mean difference was −0.04 ± 0.20 mm, with 95% limits of agreement ranging between −0.43 and 0.34 mm. The generated saliency maps showed that the algorithm mainly utilized central corneal region (i.e., the site where ACD is clinically measured typically) in making its prediction, providing further plausibility to the algorithm's prediction.ConclusionsWe developed a DL algorithm to estimate ACD based on smartphone-acquired anterior segment photographs. Upon further validation, our algorithm may be further refined for use as a ACD screening tool in rural localities where means of assessing ocular biometry is not readily available. This is particularly important in China where the risk of primary angle closure disease is high and often undetected.

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Performance of anterior segment OCT-based algorithms in the opportunistic screening for primary angle-closure disease

Mou,

Wang,

Wang

et al. 2024

Heliyon

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Evaluation of the Diagnostic Performance of Swept-Source Anterior Segment Optical Coherence Tomography in Primary Angle Closure Disease

Cited by 10 publications

References 40 publications

Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study

Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study

Smartphone-Acquired Anterior Segment Images for Deep Learning Prediction of Anterior Chamber Depth: A Proof-of-Concept Study

Performance of anterior segment OCT-based algorithms in the opportunistic screening for primary angle-closure disease

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