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Principal Investigator 

Prof. Christopher Leung, Clinical Professor

 

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Research Team Members

Dr. Alexander Lam, Research Officer, Image and Data Scientist

Ms. Gilda Lai, Senior Technical Officer, Lab Manager

Dr. Ken Wu, Postdoctoral Fellow

Mr. Yawen Guo, PhD Student

Mr. Akira Tang, PhD Student
Ms. Anita Chong, Research Assistant

Ms. Kinki Ng, Research Assistant

Mr. Calvin Hung, Research Assistant

Ms. Kobe Ngan, Clinical Secretariat Assistant

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​​Research Interests

Glaucoma is the leading cause of irreversible blindness with 80 million patients in 2020 worldwide. False positive and false negative diagnosis of glaucoma, however, remains common in clinical practice. The Glaucoma and Optic Nerve Diagnostics Laboratory designs and applies new algorithms with advanced digital imaging technologies to facilitate early diagnosis and monitoring of glaucoma. We are conducting clinical trials to investigate objective and reliable diagnostic paradigms to guide management of patients with glaucoma or ocular hypertensives. Recently, we developed Retinal nerve fiber layer Optical Texture Analysis (ROTA) to unveil the trajectories of the axonal fiber bundles in the retina from optical coherence tomography (OCT) datasets for early and intuitive detection of optic nerve damage in glaucoma, and non-glaucomatous optic neuropathies. A start-up company, AIROTA Diagnostics Limited, supported by Technology Start-up Support Scheme for Universities, was founded in 2020 to integrate ROTA with deep learning and cloud computing to automate clinical workflow to augment early diagnosis of glaucoma and prevent glaucoma blindness. AIROTA Diagnostics Limited was admitted to the Hong Kong Science and Technology Parks Corporation (HKSTP) Incu-Bio Program in 2020.

Representative Publications

* Corresponding Author

  1. *Leung CKS, Lam AKN, Weinreb RN, Garway-Heath DF, Yu M, Chiu V, Wan K, Wong M, Wu K, Cheung CY, Lin C, Chan C, Chan NC, Kam KW, Lai G. Retinal nerve fiber layer Optical Texture Analysis (ROTA) – A new paradigm for diagnostic evaluation of optic neuropathy. Nature Biomedical Engineering 2021 In Press

  2. Wu K, Lin C, Lam AKN, Chan L, *Leung CKS. Wide-field Trend-based Progression Analysis of combined retinal nerve fiber layer and ganglion cell inner plexiform layer thickness – A new paradigm to improve glaucoma progression detection. Ophthalmology 2020. 127:1322-1330.

  3. Zheng F, Wu Z, *Leung CKS. Detection of Bruch’s membrane opening in healthy individuals and glaucoma patients with and without high myopia. Ophthalmology 2018;125:1537-1546.

  4. Hou HW, Lin C, *Leung CKS. Integrating macular ganglion cell inner plexiform layer and parapapillary retinal nerve fiber layer measurements to detect glaucoma progression. Ophthalmology 2018;125:822-831.

  5. Wan KH, Lam AKN, *Leung CKS. Optical coherence tomography angiography compared with optical coherence tomography macular measurements for detection of glaucoma. JAMA Ophthalmology 2018;136:866-874.

  6. Yu M, Lin C, Weinreb RN, Lai G, Chiu V, *Leung CKS. Risk of Visual Field Progression in Glaucoma Patients with Progressive Retinal Nerve Fiber Layer Thinning: A 5-Year Prospective Study. Ophthalmology. 2016;123:1201-10.

  7. Wu Z, Xu G, Weinreb RN, Yu M, *Leung CKS. Optic Nerve Head Deformation in Glaucoma: A Prospective Analysis of Optic Nerve Head Surface and Lamina Cribrosa Surface Displacement. Ophthalmology 2015;122:1317-29.

  8. Xu G, Weinreb RN, *Leung CKS. Optic Nerve Head Deformation in Glaucoma: The Temporal Relationship between Optic Nerve Head Surface Depression and Retinal Nerve Fiber Layer Thinning. Ophthalmology 2014;121:2362-70.

  9. *Leung CKS, Ye C, Weinreb RN, Yu M, Lai G, Lam DS. Impact of Age-related Change of Retinal Nerve Fiber Layer and Macular Thicknesses on Evaluation of Glaucoma Progression. Ophthalmology. 2013;120:2485-92.

  10. Xu G, Weinreb RN, *Leung CKS. Retinal Nerve Fiber Layer Progression in Glaucoma: A Comparison between Retinal Nerve Fiber Layer Thickness and Retardance. Ophthalmology. 2013;120:2493-500.

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Selected Research Grants

(Principal Investigator)

  1. Retinal nerve fiber layer optical texture signature as a novel biomarker for detection of glaucoma progression

      Hong Kong Research Grants Council General Research Fund (Project Reference: 14101518)

​  2. Measurement of the rates of retinal nerve fiber layer thinning to guide management of myopic glaucoma patients

      Hong Kong Research Grants Council General Research Fund (Project Reference: 14101117)

  3. Progressive retinal nerve fiber layer thinning as a biomarker to guide intraocular pressure lowering treatment in ocular         hypertensive

      Hong Kong Research Grants Council General Research Fund (Project Reference: 14100916)

  4. Progressive lamina cribrosa deformation – A biomarker for fast progressors in glaucoma?

      Hong Kong Research Grants Council General Research Fund (Project Reference: 14101215)

  5. Hong Kong Innovation and Technology Commission Technology Start-up Support Scheme for Universities (Project               Reference: TSSSU/CUHK/20/01)

      

 

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Patents

  1. Leung CKS, Lam AK. Optical Texture Analysis of the Inner Retina (US 2019/0110681 A1). Filed on 12 October 2017. Publication date: 18 April 2019

  2. Leung CKS, Yu M, Lam DS. Detection of disease-related retinal nerve fiber layer thinning (US9117121B2). Filed on May 20, 2013. Date of Patent: 25 August 2015

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