Status:

COMPLETED

The Diagnostic Performance of BMO-MRW and RNFL Thickness and Their Combinational Index Using Artificial Neural Network

Lead Sponsor:

Pusan National University Hospital

Conditions:

Glaucoma

Tomography, Optical Coherence

Eligibility:

All Genders

19+ years

Brief Summary

This study evaluates the relationship between BMO-MRW and RNFL thickness measured by OCT. SD-OCT exam will be performed to all patients in this study.

Detailed Description

spectral domain optical coherence tomography, SD-OCT, (Heidelberg Engineering, Heidelberg, Germany) is a widely used commercial device in ophthalmology field. For a long time, retinal nerve fiber laye...

Eligibility Criteria

Inclusion

  • Age \> 18 years with a clear cornea and clear ocular media
  • BCVA ≥ 20/40
  • Refractive error within ± 6.0 diopters (D) of 0 and astigmatism ± 3.0 D of 0

Exclusion

  • uveitis
  • secondary glaucoma
  • corneal abnormalities
  • non-glaucomatous optic neuropathies
  • previous trauma
  • ocular surgery or laser treatment
  • any other eye disease except glaucoma.

Key Trial Info

Start Date :

August 1 2015

Trial Type :

OBSERVATIONAL

Allocation :

ACTUAL

End Date :

December 31 2016

Estimated Enrollment :

402 Patients enrolled

Trial Details

Trial ID

NCT03257020

Start Date

August 1 2015

End Date

December 31 2016

Last Update

August 25 2017

Active Locations (1)

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Pusan National University Hospital

Busan, South Korea, 49214

The Diagnostic Performance of BMO-MRW and RNFL Thickness and Their Combinational Index Using Artificial Neural Network | DecenTrialz