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Tun Tin A

🇲🇦 Singapore National Eye Center
ORCIDOpenAlex68 articles in GJC

68 articles in GJC

2.

AI to Identify Strain-Sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma.

Chuangsuwanich Thanadet, Nongpiur Monisha E, Braeu Fabian A, Prasad Shimna Clara, Tun Tin A, Thiéry Alexandre et al.

Invest Ophthalmol Vis SciFeb 20260 citationsObservational Study

ONH tissue strain significantly improved glaucoma VF defect classification (e.g., superior arcuate, AUC 0.83 to 0.87). Neuroretinal rim strain, particularly inferotemporal, was key, suggesting it's a critical biomechanical biomarker for axonal injury and disease monitoring.

4.

3D Structural Phenotype of the Optic Nerve Head in Glaucoma and Myopia-A Key to Improving Glaucoma Diagnosis in Myopic Populations.

Sharma Swati, Braeu Fabian A, Chuangsuwanich Thanadet, Tun Tin A, Hoang Quan V, Chong Rachel et al.

Am J OphthalmolSep 20252 citationsCross-Sectional Study

This study identified distinct 3D optic nerve head structural patterns in healthy, myopic, and glaucomatous eyes, suggesting these unique signatures can improve glaucoma diagnosis, especially in myopic patients.

7.

Biomechanics-Function in Glaucoma: Improved Visual Field Predictions from IOP-Induced Neural Strains.

Chuangsuwanich Thanadet, Nongpiur Monisha E, Braeu Fabian A, Tun Tin A, Thiery Alexandre, Perera Shamira et al.

Am J OphthalmolDec 20245 citationsCross-Sectional Study

This study found that combining optic nerve structure with biomechanical data (IOP-induced tissue strains) significantly improves prediction of visual field loss in glaucoma, highlighting biomechanics' clinical importance for functional prognosis.

8.

Comparing IOP-Induced Scleral Deformations in the Myopic and Myopic Glaucoma Spectrums.

Chuangsuwanich Thanadet, Tun Tin A, Braeu Fabian A, Chong Rachel S, Wang Xiaofei, Ho Ching-Lin et al.

Invest Ophthalmol Vis SciNov 20240 citationsObservational Study

This study found that highly myopic glaucoma, pathologic myopia, and staphyloma eyes show greater macular curvature changes from acute IOP elevation than highly myopic or emmetropic eyes, indicating increased sensitivity to pressure.

20.

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.

Braeu Fabian A, Thiéry Alexandre H, Tun Tin A, Kadziauskiene Aiste, Barbastathis George, Aung Tin et al.

Am J OphthalmolJan 202310 citationsObservational Study

Geometric deep learning accurately diagnosed glaucoma from 3D ONH OCT scans, identifying critical hourglass-pattern features in the neuroretinal rim, offering potential for improved clinical diagnosis and prognosis.

21.

Differing Associations between Optic Nerve Head Strains and Visual Field Loss in Patients with Normal- and High-Tension Glaucoma.

Chuangsuwanich Thanadet, Tun Tin A, Braeu Fabian A, Wang Xiaofei, Chin Zhi Yun, Panda Satish Kumar et al.

OphthalmologyAug 202232 citationsCross-Sectional Study

This study found higher optic nerve head strain from elevated pressure correlated with worse vision in high-tension glaucoma, but not normal-tension glaucoma, suggesting different disease mechanisms.

23.

The three-dimensional structural configuration of the central retinal vessel trunk and branches as a glaucoma biomarker.

Panda Satish K, Cheong Haris, Tun Tin A, Chuangsuwanich Thanadet, Kadziauskiene Aiste, Senthil Vijayalakshmi et al.

Am J OphthalmolMar 20220 citationsObservational Study

This study found that the 3D configuration of central retinal vessels, analyzed by AI, is a superior glaucoma diagnostic marker compared to standard RNFL thickness, potentially improving early detection.

24.

Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.

Randhawa Jasmeen, Chiang Michael, Porporato Natalia, Pardeshi Anmol A, Dredge Justin, Apolo Aroca Galo et al.

Br J OphthalmolOct 202122 citationsObservational Study

An OCT deep learning classifier consistently detected angle closure across diverse populations, showing strong agreement with human examiners. This tool could aid ophthalmologists in assessing angle status.