Different Clinical Parameters to Diagnose Glaucoma Disease: A Review

Pravitra,; Manjunath, T. C.; Lamani, Dharmanna; Chandrappa, S; S, Ranjan Kumar H

doi:10.5120/20295-2743

Cited by 6 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The major parameters of concern in glaucoma diagnosis and monitoring are optic nerve head (ONH) and retinal nerve fiber layer (RNFL) changes, visual field changes, and IOP. 4 ONH and RNFL evaluation assesses structural changes while visual field assessment determines functional changes of retinal ganglion cells (RGC). Structural changes often precede and are predictive of functional changes, highlighting the importance of structural changes assessment.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the clinical estimation of cup-to-disk ratio by direct ophthalmoscopy and optical coherence tomography

et al. 2019

View full text Add to dashboard Cite

Objective: To compare the clinical estimation of cup-to-disk ratio determined by direct ophthalmoscopy and optical coherence tomography in glaucoma diagnosis and monitoring. Methods: A retrospective, cross-sectional study involving a review of 71 optical coherence tomography scans dating from June 2011 to January 2012 at a private imaging lab in Ghana. At the respective referring facilities, only 31 out of the 71 corresponding patient records were successfully reviewed. Results: Majority (54.84%) of the 31 patient records successfully reviewed were women. The mean age was 44.54 ± 16.15 years. Cup-to-disk ratio was grouped into ⩽0.4, >0.4–0.6, >0.6–0.8, and >0.8–1.0 based on direct ophthalmoscopy values. The overall mean cup-to-disk ratio estimated by the optical coherence tomography and direct ophthalmoscopy were 0.72 ± 0.21 and 0.60 ± 0.26, respectively. Overall, there was no statistically significant difference in the mean cup-to-disk ratio estimation by direct ophthalmoscopy and optical coherence tomography [right eye ( p = 0.0629); left eye ( p = 0.0766)]. There was a statistically significant difference between direct ophthalmoscopy and optical coherence tomography cup-to-disk ratio estimation for values ⩽0.4 [right eye ( p = 0.0061); left eye ( p = 0.0063)] and values >0.4–0.6 [right eye ( p = 0.0243); left eye ( p = 0.0498)]. There was no statistically significant difference between conventional direct ophthalmoscopy and optical coherence tomography cup-to-disk ratio estimation for cup-to-disk ratio >0.6. Conclusion: We recommend clinicians document which method they use in evaluating optic nerve head parameters. This is to ensure that subsequent clinical decisions are not influenced by an apparent change in these parameters, especially cup-to-disk ratio as different methods might give different values.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparison of the clinical estimation of cup-to-disk ratio by direct ophthalmoscopy and optical coherence tomography

et al. 2019

View full text Add to dashboard Cite

show abstract

“…For the PC supported determination of a few diabetic retinopathies, it is important to assess a few eye fundus picture highlights. In [1][2][3][4][5][6][7] another versatile morphological strategy for the programmed discovery of the middle and edge of the optic circle in advanced shading eye fundus pictures. In [8] A deformable-model based methodology is utilized for powerful discovery of optic circle and cup limits The came about cup-to-plate (C/D) proportion indicates great consistency and similarity when contrasted and the outcomes from Heidelberg Retina Tomograph (HRT) under clinical validation.…”

Section: Introductionmentioning

confidence: 99%

Early Detection Of Glaucoma Disease In Retinal Fundus Images Using Spatial FCM With Level Set Segmentation

Sudha¹,

Dalal²,

Srinivasan³

2019

IJEAT

View full text Add to dashboard Cite

Glaucoma is a malady of the optic nerve brought about by the expansion in the intraocular weight of the eye. It for the most part influences the optic plate by expanding the cup size. In this proposed method the clinical parameter such as vertical optic cup to disk ratio (CDR) is determined to identify the glaucomatous disease. The segmentation of optic disc (OD) and optic cup in retinal fundus image is an important step in the determination of CDR. Optic Disc is extracted from the fundus image by circular region of interest with Hough transformation. Linear regression fit is used to find the Gold standard value for the experimentally obtained CDR A Bayesian classifier is used to train the classifier set of CDR values obtained. Results produced from the classification obtain a accuracy of 94.28%, sensitivity of 94.38% and specificity of 94.11%. ROC curve is plotted to study the relation between specificity and sensitivity of the CDR and GSV. This proposed approach is robust in segmentation and the region boundaries are precise and is able to yield regions more homogeneous which can be used for objective mass screening of retinal images for early detection of Glaucoma.

show abstract

Detection of Primary Glaucoma Using Fuzzy C Mean Clustering and Morphological Operators Algorithm

Pavithra

Manjunath²,

Lamani³

2020

New Trends in Computational Vision and Bio-Inspired Computing

View full text Add to dashboard Cite

Different Clinical Parameters to Diagnose Glaucoma Disease: A Review

Cited by 6 publications

References 14 publications

Comparison of the clinical estimation of cup-to-disk ratio by direct ophthalmoscopy and optical coherence tomography

Comparison of the clinical estimation of cup-to-disk ratio by direct ophthalmoscopy and optical coherence tomography

Early Detection Of Glaucoma Disease In Retinal Fundus Images Using Spatial FCM With Level Set Segmentation

Detection of Primary Glaucoma Using Fuzzy C Mean Clustering and Morphological Operators Algorithm

Contact Info

Product

Resources

About