Glaucoma and Optic Nerve Diagnostics Lab青光眼及視神經疾病診斷實驗室

Research Interests 研究興趣

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.

青光眼是導致不可逆失明的主要原因，到 2020 年全球將有 8000 萬患者。然而，青光眼的假陽性和假陰性診斷在臨床實踐中仍然很常見。青光眼和視神經診斷實驗室設計並應用具有先進數字成像技術的新算法，以促進青光眼的早期診斷和監測。我們正在進行臨床試驗，以研究客觀可靠的診斷範例，以指導青光眼或高眼壓患者的管理。最近，我們開發了視網膜神經纖維層光學紋理分析 (ROTA)，以從光學相干斷層掃描 (OCT) 數據集中揭示視網膜中軸突纖維束的軌跡，以便早期直觀地檢測青光眼和非青光眼的視神經損傷。視神經病變。初創公司AIROTA Diagnostics Limited在大學科技創業支持計劃的支持下於2020年成立，將ROTA與深度學習和雲計算相結合，實現臨床工作流程自動化，以增強青光眼的早期診斷並預防青光眼失明。 AIROTA Diagnostics Limited 於 2020 年加入香港科技園公司 (HKSTP) Incu-Bio 計劃。

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Representative Publications 代表性出版物

* Corresponding Author 通訊作者

*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
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.
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.
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.
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.
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.
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.
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.
*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.
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.

Selected Research Grants 選定的研究資助

(Principal Investigator 首席研究員)

1. Hong Kong Research Grants Council General Research Fund 香港研究資助局優配研究金：

Retinal Nerve Fiber Layer Optical Texture Signature as a Novel Biomarker for Detection of Glaucoma Progression 視網膜神經纖維層光學紋理標記作為一種新型生物標誌物檢測青光眼進展

Project Reference 項目編號：14101518

2. Hong Kong Research Grants Council General Research Fund 香港研究資助局優配研究金：

Measurement of the Rates of Retinal Nerve Fiber Layer Thinning to Guide Management of Myopic Glaucoma Patients 視神經纖維層變薄速率的測量來指導近視的青光眼病人的處理

Project Reference 項目編號：14101117

3. Hong Kong Research Grants Council General Research Fund 香港研究資助局優配研究金：

Progressive retinal nerve fiber layer (RNFL) thinning as a biomarker to guide intraocular pressure (IOP) lowering treatment in ocular hypertensives (OHT) 以視網膜神經纖維層（RNFL）進展為生物標記物指導高眼壓症（OHT）的降眼壓（IOP）治療

Project Reference 項目編號：14100916

4. Hong Kong Research Grants Council General Research Fund 香港研究資助局優配研究金：

Progressive lamina cribrosa deformation – A biomarker for fast progressors in glaucoma? 進展性篩板變形–診斷青光眼快速進展者的新指標？

Project Reference 項目編號：14101215

5. Hong Kong Innovation and Technology Commission Technology Start-up Support Scheme for Universities 創新科技署大學科技初創企業資助計劃：

Project Reference 項目編號：TSSSU/CUHK/20/01

Patents 專利

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