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Artificial Intelligence Assisted Optical Coherence Tomography for Differential Diagnosis and Management of Irregular Corneas

Award Number: R01EY029023
ORGANIZATION: NATIONAL EYE INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Artificial Intelligence Assisted Optical Coherence Tomography for Differential Diagnosis and Management of Irregular Corneas - PROJECT SUMMARY To see well, the cornea must maintain near-perfect clarity and shape. Several disease processes can distort the corneal shape and degrade vision. These include ectasia/keratoconus (stromal thinning and bulging), edema (corneal swelling due to endothelium dysfunction), primary epithelial deformation (contact lens-related warpage, dry eye, epithelial basement membrane dystrophy), stromal opacities (scar, ulcer, stromal dystrophy), and other stromal shape changes (corneal surgery). Some of these conditions can appear similar on standard corneal topography yet require very different treatments. Anterior eye optical coherence tomography (OCT) has the potential to be an all-in-one device that can measure corneal shape, thickness, and reflectance deviation with high resolution. Therefore, this project aims to use OCT, a 3-dimensional imaging technology with micrometer-level resolution, to differentiate between different types of corneal shape irregularities. The unique ability of OCT to map epithelial thickness, anterior & posterior topography, and the reflectance of various corneal layers will be used to develop new metrics for staging and monitoring the progression of ectasia (keratoconus) and endothelial dysfunction (Fuchs’ endothelial corneal dystrophy). Our overall goal is to improve the early detection, differential diagnosis, staging, monitoring, and treatment of irregular corneas by advancing the interpretation of anterior eye OCT with mathematical analyses and artificial intelligence (AI). The specific aims are: (1) Develop an OCT-based AI system to classify corneal irregularities. AI is needed to help the clinician detect pathologic features and synthesize the rich quantitative information that OCT provides on corneal shape, thickness, and reflectance patterns. AI-aided diagnostic classification can help the clinician make management decisions. (2) Develop OCT metrics to assess disease progression and treatment efficacy. Chronic progressive corneal diseases such as ectasia and endothelial dysfunction require precise monitoring of progression to determine whether and when treatment is needed. An assessment of treatment efficacy is needed for further management decisions. (3) Develop an OCT algorithm to predict corneal power change after endothelial keratoplasty. This is needed for the proper selection of intraocular lens power in combined endothelial keratoplasty and cataract surgery to treat both Fuchs’ endothelial corneal dystrophy and cataract, which often co-exist in older patients.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $545,885 )
2025	2025	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	001	6	2/21/2025	COMPETING CONTINUATION	$555,825
2025	2022	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	5	11/25/2024	NON-COMPETING CONTINUATION	-$9,940
														Subtotal = $545,885

Issue Date FY: 2022 ( Subtotal = $373,450 )
2022	2022	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	5	4/18/2022	NON-COMPETING CONTINUATION	$373,450
														Subtotal = $373,450

Issue Date FY: 2021 ( Subtotal = $373,450 )
2021	2021	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	4	5/19/2021	NON-COMPETING CONTINUATION	$373,450
														Subtotal = $373,450

Issue Date FY: 2020 ( Subtotal = $385,000 )
2020	2020	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	3	7/23/2020	NON-COMPETING CONTINUATION	$385,000
														Subtotal = $385,000

Issue Date FY: 2019 ( Subtotal = $385,000 )
2019	2019	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	001	2	4/22/2019	NON-COMPETING CONTINUATION	$385,000
2019	2018	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	1	12/11/2018	NEW	$0
														Subtotal = $385,000

Issue Date FY: 2018 ( Subtotal = $385,000 )
2018	2018	OREGON HEALTH & SCIENCE UNIVERSITY	3181 SW SAM JACKSON PARK RD	PORTLAND	OR	97239	MULTNOMAH	USA	Vision Research	000	1	4/12/2018	NEW	$385,000
														Subtotal = $385,000

Grand Total All Awards = $2,447,785

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Artificial Intelligence Assisted Optical Coherence Tomography for Differential Diagnosis and Management of Irregular Corneas

Award Number: R01EY029023

ORGANIZATION: NATIONAL EYE INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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