Deep Learning for Classification of Scheimpflug Corneal Tomography Images

Eye Diseases Clinical Trial

Official title:

Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04497207
• Other study ID #: 17300437
• Status: Completed
• Start date: August 10, 2020
• Est. completion date: August 25, 2020

Study information

• Verified date: October 2020
• Source: Assiut University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Keratoconus is a common disorder. An early diagnosis influences the disease prognosis in the affected patients and prevents postoperative complications in patients with keratoconus considering refractive surgery. Machine learning approaches have been widely used for image classification. Here, we will assess the ability of deep learning to enable high-performance image classification of the color-coded corneal maps obtained by Scheimpflug camera in patients with keratoconus, subclinical keratoconus, and normal individuals.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 1669
• Est. completion date: August 25, 2020
• Est. primary completion date: August 20, 2020
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 45 Years

Eligibility

Inclusion Criteria:

Keratoconus group:

• Presence of a central protrusion of the cornea with Fleischer ring, Vogt striae, or both by slitlamp examination.

• irregular cornea determined by distorted keratometry mires and distortion of retinoscopic red reflex or both in addition to the following topographic findings as summarized by Pinero and colleagues :

• focal steepening located in a zone of protrusion surrounded by concentrically decreasing power zones

• focal areas with diopteric (D) values >47.0D

• inferior- superior(I-S) asymmetry measured to be > 1.4 D

• Angling of the hemimeridians in an asymmetric or broken bowtie pattern with skewing of the steepest radial axis(SRAX) .

Suspicious group:

• Defined as subtle corneal tomographic changes as the aforementioned keratoconus abnormalities in the absence of slit- lamp or visual acuity changes typical of keratoconus (forme fruste keratoconus).

Normal group:

• Refractive surgery candidates

• Refractive error of less than 8.0 D sphere

• Less than 3.0 D of astigmatism

• without clinical, topographic or tomographic signs of keratoconus or suspect keratoconus.

Exclusion Criteria:

• Systemic disease

• Other corneal disease such as pellucid marginal degeneration

• History of trauma

• Corneal surgery such as corneal cross- linking for progressive keratoconus.

Related Conditions & MeSH terms

• Eye Diseases

Intervention

Other:
• Scheimpflug Camera Corneal Tomography
Pentacam Sheimpflug system(Pentacam HR, Oculus Optikgeräte GmbH, software V.1.15r4 n7) is used for imaging of the anterir and posterior surfaces of the cornea to obtain corneal tomographic maps.

Locations

Country	Name	City	State
Egypt	Faculty of Medicine	Assiut

Sponsors (1)

Lead Sponsor	Collaborator
Assiut University

Country where clinical trial is conducted

Egypt, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Croppedm denoised, and resized to obtain four separate image stacks of 256×256 pixels		2 days