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Deep Learning for Classification of Scheimpflug Corneal Tomography Images

Completed
Conditions
Eye Diseases
Interventions
Other: Scheimpflug Camera Corneal Tomography
Registration Number
NCT04497207
Lead Sponsor
Assiut University
Brief 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
1669
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 Pińero 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.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
NormalScheimpflug Camera Corneal TomographyThis group comprised refractive surgery candidates and subjects applying for a contact lens fitting with a refractive error of less than 8.0 D sphere with less than 3.0 D of astigmatism and without clinical, topographic or tomographic signs of keratoconus nor suspected keratoconus.
Subclinical keratoconusScheimpflug Camera Corneal TomographyDefined as subtle corneal tomographic changes as the aforementioned keratoconus abnormalities in the absence of slit- lamp or visual acuity changes typical of keratoconus (subclinical keratoconus).
KeratoconusScheimpflug Camera Corneal TomographyThose with a clinical diagnosis of keratoconus such as: a) the presence of a central protrusion of the cornea with Fleischer ring, Vogt striae, or both by slitlamp examination.(b) an 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 Pińero and colleagues: focal steepening located in a zone of protrusion surrounded by concentrically decreasing power zones, focal areas with dioptric (D) values \>47.0D, inferior- superior(I-S) asymmetry measured to be \> 1.4 D or angling of the hemimeridians in an asymmetric or broken bowtie pattern with skewing of the steepest radial axis (SRAX) 2.
Primary Outcome Measures
NameTimeMethod
Croppedm denoised, and resized to obtain four separate image stacks of 256×256 pixels2 days
Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Faculty of Medicine

🇪🇬

Assiut, Egypt

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