Detection of Keratoconus Progression Using Machine Learning

NCT ID: NCT06873399

Last Updated: 2025-03-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-12-02

Study Completion Date

2025-05-31

Brief Summary

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Keratoconus (KC) is a bilateral ocular disease characterized by progressive thinning and steepening of the cornea, usually in its inferotemporal region. The disease often occurs asymmetrically as one eye is more severely affected by the condition. The changes underlying KC lead to the generation of irregular astigmatism resulting in diminished visual acuity of the patients and can even lead to axial corneal scarring in advanced stages. The disease usually occurs in the second or third decade of life, but can develop at any age. KC is a complex condition involving environmental factors such as age, eye rubbing, contact lens use, atopy, sun exposure, hormones, toxins, as well as a genetic component. However, how these factors contribute to the disease is still unknown and intraindividual differences might exist.

KC can be categorized into different forms based on the stage of the disease. In clinical KC, there are both topographic and slit lamp findings of the disease.

The importance of corneal epithelial imaging in the diagnosis of keratoconus has been further demonstrated in several clinical studies. As new anterior segment optical coherence tomography (AS-OCT) devices provide more detailed measurements for instance of the corneal epithelium. This layer could therefore be an interesting marker for the prediction of KC progression and contribute to earlier diagnosis as well as better outcome of the disease.

The aim of this retrospective study is therefore to determine whether different topographical and volumetric data, for instance epithelial thickness maps (ETM), can be reliably used to predict the progression of KC using a machine learning algorithm.

Detailed Description

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Conditions

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Keratoconus Machine Learning

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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Progressive Keratoconus

Patients with progressive keratokonus, based on a one-year change in Kmax values

MS-39

Intervention Type DIAGNOSTIC_TEST

The MS-39 (Costruzione Strumenti Oftalmici, Firenze, Italy) is a device for anterior segment analysis of the eye, which combines Placido disc corneal topography and high-resolution SD-OCT. The device provides information on pachymetry, elevation, curvature, and dioptric power of both corneal surfaces. To obtain corneal topography, 22 Placido disc rings are emanated from a laser emitted diode (LED) light source at 635 nanometres (nm). The central 10 millimetres of the anterior corneal surface are covered. Epithelial thickness maps are calculated for different sectors (central, paracentral inferior/superior/nasal/temporal).

Non-progressive Keratoconus

Patients with non-progressive keratokonus, based on a one-year change in Kmax values

MS-39

Intervention Type DIAGNOSTIC_TEST

The MS-39 (Costruzione Strumenti Oftalmici, Firenze, Italy) is a device for anterior segment analysis of the eye, which combines Placido disc corneal topography and high-resolution SD-OCT. The device provides information on pachymetry, elevation, curvature, and dioptric power of both corneal surfaces. To obtain corneal topography, 22 Placido disc rings are emanated from a laser emitted diode (LED) light source at 635 nanometres (nm). The central 10 millimetres of the anterior corneal surface are covered. Epithelial thickness maps are calculated for different sectors (central, paracentral inferior/superior/nasal/temporal).

Interventions

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MS-39

The MS-39 (Costruzione Strumenti Oftalmici, Firenze, Italy) is a device for anterior segment analysis of the eye, which combines Placido disc corneal topography and high-resolution SD-OCT. The device provides information on pachymetry, elevation, curvature, and dioptric power of both corneal surfaces. To obtain corneal topography, 22 Placido disc rings are emanated from a laser emitted diode (LED) light source at 635 nanometres (nm). The central 10 millimetres of the anterior corneal surface are covered. Epithelial thickness maps are calculated for different sectors (central, paracentral inferior/superior/nasal/temporal).

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients with KC progression as defined dependent on Kmax/year:

o

1. Kmax \< 48 Dioptres (D): \>0.5 D per year o
2. Kmax 48.01-53 D: \>0.6 D per year o
3. Kmax 53.01-58 D: \>0.8 D per year o
4. Kmax \> 58 D: \>1.5 D per year - Non progressive group: Patients with stable KC (KC progression dependent on Kmax \< than the values described above/year)

Exclusion Criteria

* Relevant other ophthalmic diseases that are likely to influence the measurement outcome like corneal scars or epithelial dystrophies
* Too few measurements/too short follow-up to define progression of KC
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Vienna Institute for Research in Ocular Surgery

OTHER

Sponsor Role lead

Responsible Party

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Prim. Prof. Dr. Oliver Findl, MBA

Head of Department

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Vienna Institute for Research in Ocular Surgery (VIROS)

Vienna, Vienna, Austria

Site Status

Countries

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Austria

Other Identifiers

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EK_24_158_VK

Identifier Type: -

Identifier Source: org_study_id

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