Clinical Examination Methods: Artificial Intelligence applications I (20-4, June 2020) on:
82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R; Elen B; Barbosa-Breda J et al.
Acta Ophthalmologica 2020; 98: e94-e100
Medical Treatment: A clinical trial in neuroprotection (20-4, June 2020) on:
80737 Investigating the neuroprotective effect of Copolymer-1 in acute primary angle closure - Interim report of a randomized placebo-controlled double-masked clinical trial
Fan KR; Baskaran M; Nongpiur ME et al.
Acta Ophthalmologica 2019; 97: e827-e832
Clinical Examination Methods: Macular Findings in Early Glaucoma (20-2, November 2019) on:
79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Thompson AC; Jammal AA; Medeiros FA
American Journal of Ophthalmology 2019; 201: 9-18
Clinical Examination Methods: Visual Field progression (20-1, July 2019) on:
78474 Association between Rates of Visual Field Progression and Intraocular Pressure Measurements Obtained by Different Tonometers
Susanna BN; Ogata NG; Daga FB et al.
Ophthalmology 2019; 126: 49-54
Medical Treatment: Mono- vs. Multitherapy (20-1, July 2019) on:
78343 Initial intraocular pressure reduction by mono- versus multi-therapy in patients with open-angle glaucoma: results from the Glaucoma Intensive Treatment Study
Lindén C; Heijl A; Jóhannesson G et al. et al. et al.
Acta Ophthalmologica 2018; 96: 567-572
Forms of Glaucoma: Low Perfusion Pressure and NTG Progression Risk (19-3, December 2018) on:
76600 Low nocturnal diastolic ocular perfusion pressure as a risk factor for NTG progression: a 5-year prospective study
Raman P; Suliman NB; Zahari M et al.
Eye 2018; 32: 1183-1189
Epidemiology: Perfusion Pressure and POAG (19-2, September 2018) on:
75704 Inter-relationship between ocular perfusion pressure, blood pressure, intraocular pressure profiles and primary open-angle glaucoma: the Singapore Epidemiology of Eye Diseases study
Tham YC; Lim SH; Gupta P et al.
British Journal of Ophthalmology 2018; 0:
Anatomical Structures: Computer-Assisted Disc Assessment (19-2, September 2018) on:
75568 Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters
Omodaka K; An G; Tsuda S et al.
PLoS ONE 2017; 12: e0190012
Clinical Forms of Glaucoma: Macular Choroidal Thickness in Pseudoexfoliation (19-1, May 2018) on:
74825 Comparison of macular choroidal thickness in patients with pseudoexfoliation syndrome to normal control subjects with enhanced depth SD-OCT imaging
Moghimi S; Mazloumi M; Johari MK et al.
Journal of current ophthalmology 2017; 29: 258-263
Risk Factors: Limbal Changes during Face-down Sleep (17-3, June 2016) on:
66544 Measured Changes in Limbal Strain During Simulated Sleep in Face Down Position Using an Instrumented Contact Lens in Healthy Adults and Adults With Glaucoma
Flatau A; Solano F; Idrees S et al.
JAMA ophthalmology 2016; 0: 1-8
Anatomical structures: RNFL and disc hemorrhage (16-3, June 2015) on:
58890 Changes in retinal nerve fiber layer thickness after optic disc hemorrhage in glaucomatous eyes
Hwang YH; Kim YY; Kim HK et al.
Journal of Glaucoma 2014; 23: 547-552
Clinical Examination: Water-drinking test (14-3, April 2013) on:
51157 Choroidal thickness change after water drinking is greater in angle closure than in open angle eyes
Arora KS; Jefferys JL; Maul EA et al.
Investigative Ophthalmology and Visual Science 2012; 53: 6393-6402
Perimetry: Trends in ancillary diagnostic tests (14-1, November 2012) on:
48863 Trends in use of ancillary glaucoma tests for patients with open-angle glaucoma from 2001 to 2009
Stein JD; Talwar N; Laverne AM et al.
Ophthalmology 2012; 119: 748-758
Progression: Combination of CSLO and SAP data (14-1, November 2012) on:
49013 Combining Structural and Functional Measurements to Improve Estimates of Rates of Glaucomatous Progression
Medeiros FA; Zangwill LM; Girkin CA et al.
American Journal of Ophthalmology 2012; 153: 1197-1205
Progression: Combination of event- and trend-analysis of SAP data (14-1, November 2012) on:
48936 Integrating event- and trend-based analyses to improve detection of glaucomatous visual field progression
Medeiros FA; Weinreb RN; Moore G et al.
Ophthalmology 2012; 119: 458-467
Combined Structure and Function Measurement: SD-OCT + SAP combined (13-3, December 2011) on:
46476 Structure-function relationship in glaucoma using spectral-domain optical coherence tomography
Rao HL; Zangwill LM; Weinreb RN et al.
Archives of Ophthalmology 2011; 129: 864-871
Combined Structure and Function Measurement: SLP+SAP combined and progression (13-3, December 2011) on:
46389 Combining Structural and Functional Measurements to Improve Detection of Glaucoma Progression using Bayesian Hierarchical Models
Medeiros FA; Leite MT; Zangwill LM et al.
Investigative Ophthalmology and Visual Science 2011; 52: 5794-5803
Optical Coherence Tomography: PPA and SD-OCT (13-1, June 2011) on:
27665 Analysis of peripapillary atrophy using spectral domain optical coherence tomography
Manjunath V; Shah H; Fujimoto JG et al.
Ophthalmology 2011; 118: 531-536
Surgical Treatment: Bleb evaluation by 3DCAS-OCT (11-2, September 2009) on:
23862 Evaluation of trabeculectomy blebs using 3-dimensional cornea and anterior segment optical coherence tomography
Kawana K; Kiuchi T; Yasuno Y et al.
Ophthalmology 2009; 116: 848-855