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

CompletedOBSERVATIONAL
Enrollment

402

Participants

Timeline

Start Date

August 1, 2015

Primary Completion Date

December 31, 2016

Study Completion Date

December 31, 2016

Conditions
GlaucomaTomography, Optical Coherence
Interventions
DIAGNOSTIC_TEST

SD-OCT

SD-OCT was performed to all subjects to measure BMO-MRW and RNFL thickness by trained glaucoma specialist. It takes about 5 to 10 minutes. The foveal location was manually detected with a live B-scan, followed by defining BMO center. A radial pattern containing 24 angular, equidistant, high-resolution 15° B-scans centered on the BMO was used to compute the neuroretinal rim parameters. The BMO points and ILM were identified and marked in each B-scan with automated software (Glaucoma Module Premium Edition, version 6.0; Heidelberg Engineering). After radial scan completed, 3 consecutive circumpapillary B-scans were followed to measure RNFL thickness at diameter of 3.5, 4.1 and 4.7mm. BMO-MRW and RNFL thickness was automatically computed globally and sectorally.

Trial Locations (1)

49214

Pusan National University Hospital, Busan

All Listed Sponsors
lead

Pusan National University Hospital

OTHER

NCT03257020 - The Diagnostic Performance of BMO-MRW and RNFL Thickness and Their Combinational Index Using Artificial Neural Network | Biotech Hunter | Biotech Hunter