Literature DB >> 8505205

Sensitivity and specificity of optic disc parameters in chronic glaucoma.

T Damms1, F Dannheim.   

Abstract

PURPOSE: Optic disc parameters are commonly used for the early detection of glaucomatous optic discs. We used receiver operating characteristics (ROC) curves to illustrate the separation characteristics of different disc parameters for this purpose.
METHODS: We performed computer perimetry and computerized optic disc topometry on 93 eyes of 53 subjects with glaucoma and glaucoma-related diseases. The optic disc parameters were correlated with visual field indexes, and ROC curves for the detection of glaucomatous disc changes were calculated.
RESULTS: According to clinical experience, the vertical cup/disc ratio was able to identify the glaucomatous eyes the most easily, whereas the neuroretinal rim area was less helpful in this regard. In terms of the correlation of optic disc parameters with visual field indexes, the rim area was the more powerful of the two. The cup volume showed neither separation of glaucomatous from normal eyes nor correlation with visual field indexes.
CONCLUSIONS: The vertical cup-to-disc ratio is the most suitable for screening purposes, whereas the rim area is more valuable for follow-up evaluation.

Entities:  

Mesh:

Year:  1993        PMID: 8505205

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  10 in total

1.  RA/DA cumulative curve analysis of local and diffuse neuroretinal rim area damage in glaucoma patients.

Authors:  M Rolando; A Macrì; M Iester; M Altieri; G Calabria
Journal:  Br J Ophthalmol       Date:  1998-07       Impact factor: 4.638

2.  Sensitivity and specificity of optic disc variables and analysis of a new variable (MP/D) for glaucoma diagnosis with the Glaucoma-Scope.

Authors:  Y Lachkar; H Cohn
Journal:  Br J Ophthalmol       Date:  1997-10       Impact factor: 4.638

3.  Laser scanning tomography of the optic nerve head in ocular hypertension and glaucoma.

Authors:  W V Hatch; J G Flanagan; E E Etchells; D E Williams-Lyn; G E Trope
Journal:  Br J Ophthalmol       Date:  1997-10       Impact factor: 4.638

4.  Similarity regularized sparse group lasso for cup to disc ratio computation.

Authors:  Jun Cheng; Zhuo Zhang; Dacheng Tao; Damon Wing Kee Wong; Jiang Liu; Mani Baskaran; Tin Aung; Tien Yin Wong
Journal:  Biomed Opt Express       Date:  2017-07-20       Impact factor: 3.732

5.  Clinical evaluation of the optic nerve in glaucoma.

Authors:  J Caprioli
Journal:  Trans Am Ophthalmol Soc       Date:  1994

6.  3D augmented fundus images for identifying glaucoma via transferred convolutional neural networks.

Authors:  Peipei Wang; Mingyuan Yuan; Yan He; Jiuai Sun
Journal:  Int Ophthalmol       Date:  2021-03-03       Impact factor: 2.031

7.  Impaired motion sensitivity as a predictor of subsequent field loss in glaucoma suspects: the Roscommon Glaucoma Study.

Authors:  J Wu; M Coffey; A Reidy; R Wormald
Journal:  Br J Ophthalmol       Date:  1998-05       Impact factor: 4.638

Review 8.  Application of artificial intelligence in ophthalmology.

Authors:  Xue-Li Du; Wen-Bo Li; Bo-Jie Hu
Journal:  Int J Ophthalmol       Date:  2018-09-18       Impact factor: 1.779

Review 9.  Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey.

Authors:  Ahmed Almazroa; Ritambhar Burman; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  J Ophthalmol       Date:  2015-11-25       Impact factor: 1.909

Review 10.  A survey on computer aided diagnosis for ocular diseases.

Authors:  Zhuo Zhang; Ruchir Srivastava; Huiying Liu; Xiangyu Chen; Lixin Duan; Damon Wing Kee Wong; Chee Keong Kwoh; Tien Yin Wong; Jiang Liu
Journal:  BMC Med Inform Decis Mak       Date:  2014-08-31       Impact factor: 2.796

  10 in total

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