scholarly journals Machine learning classifiers for glaucoma diagnosis based on classification of retinal nerve fibre layer thickness parameters measured by Stratus OCT

2010 ◽  
Vol 88 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Dimitrios Bizios ◽  
Anders Heijl ◽  
Jesper Leth Hougaard ◽  
Boel Bengtsson
Keyword(s):  
Machine Learning ◽  
Layer Thickness ◽  
Nerve Fibre ◽  
Retinal Nerve Fibre Layer ◽  
Machine Learning Classifiers ◽  
Glaucoma Diagnosis ◽  
Fibre Layer ◽  
Nerve Fibre Layer ◽  
Stratus Oct

Is retinal nerve fibre layer thickness correlated with visual function in individuals having optic neuritis?

2021 ◽  
pp. 1-7
Author(s):  
Abbas Ali Yekta ◽  
Sara Sorouh ◽  
Amir Asharlous ◽  
Ali Mirzajani ◽  
Ebrahim Jafarzadehpur ◽  
...  
Keyword(s):  
Optic Neuritis ◽  
Layer Thickness ◽  
Nerve Fibre ◽  
Visual Function ◽  
Retinal Nerve Fibre Layer ◽  
Fibre Layer ◽  
Nerve Fibre Layer

Influence of uveitis on Bruch’s membrane opening minimum rim width and retinal nerve fibre layer thickness measurements

2018 ◽  
Vol 103 (10) ◽  
pp. 1413-1417 ◽  
Author(s):  
Matthias F Kriegel ◽  
Arnd Heiligenhaus ◽  
Carsten Heinz
Keyword(s):  
Layer Thickness ◽  
Nerve Fibre ◽  
Retinal Nerve Fibre Layer ◽  
Bruch's Membrane ◽  
Bruch’S Membrane ◽  
Fibre Layer ◽  
Bruch’S Membrane Opening ◽  
Nerve Fibre Layer ◽  
Active Inflammation ◽  
The Impact

Background/aimsTo assess the impact of papillary leakage and active inflammation on optical coherence tomography (OCT)-based retinal nerve fibre layer thickness (RNFLT) and Bruch’s membrane opening minimum rim width (BMO-MRW) measurements in uveitic eyes with and without secondary glaucoma.MethodsProspective, single-centre analysis of patients with uveitis. All patients included received a fluorescein angiography examination and an OCT scan measuring the BMO-MRW and the RNFLT in three concentric peripapillary ring scans.ResultsOverall, 95 eyes of 56 patients were enrolled. Papillary leakage and active inflammation were present in 39 (41%) and 57 (60%) eyes, respectively. Twenty-one eyes were classified as glaucomatous; 10 of those glaucomatous eyes showed papillary leakage. Both BMO-MRW and RNFLT measurements were significantly increased in eyes with papillary leakage (BMO-MRW: p=0.0001; RNFLT: first to third ring (p<0.0001)). Active inflammation led to a significantly thickened RNFLT (first ring: p=0.0026; second ring: p=0.0009; third ring: p=0.0002) while only a trend towards increased values could be observed in the BMO-MRW measurements (p=0.3063). Glaucomatous eyes with papillary leakage demonstrated significantly higher values on both BMO-MRW and RNFLT measurements than glaucomatous eyes without leakage (BMO-MRW: p=0.0159; RNFLT: first ring: p=0.0062; second ring: p=0.0037; third ring: p=0.0197). No significant difference could be observed between glaucomatous eyes with leakage and non-glaucomatous eyes without leakage (BMO-MRW: p=0.4132; RNFLT: first ring: p=0.5412; second ring: p=0.3208; third ring: p=0.1164).ConclusionsThe OCT scanning parameters BMO-MRW and RNFLT were significantly influenced by papillary leakage in uveitic eyes with and without glaucoma. RNFLT values were also significantly increased while active inflammation was present. In patients with uveitis, these OCT-based imaging tools should be interpreted with caution, especially in those with papillary leakage or active inflammation.

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