scholarly journals Automated Analysis of Heidelberg Retina Tomograph Optic Disc Images by Glaucoma Probability Score

2006 ◽  
Vol 47 (12) ◽  
pp. 5348 ◽  
Author(s):  
Annemiek Coops ◽  
David Barry Henson ◽  
Anna J. Kwartz ◽  
Paul Habib Artes
Keyword(s):  
Optic Disc ◽  
Automated Analysis ◽  
Heidelberg Retina Tomograph ◽  
Probability Score ◽  
Glaucoma Probability Score

Reproducibility of the Heidelberg Retina Tomograph III Glaucoma Probability Score

2009 ◽  
Vol 18 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Giovanni Taibbi ◽  
Paolo Fogagnolo ◽  
Nicola Orzalesi ◽  
Luca Rossetti
Keyword(s):  
Heidelberg Retina Tomograph ◽  
Probability Score ◽  
Glaucoma Probability Score

The Heidelberg Retina Tomograph Glaucoma Probability Score

Ophthalmology ◽  
2010 ◽  
Vol 117 (4) ◽  
pp. 724-729 ◽  
Author(s):  
Nicholas G. Strouthidis ◽  
Shaban Demirel ◽  
Ryo Asaoka ◽  
Claudio Cossio-Zuniga ◽  
David F. Garway-Heath
Keyword(s):  
Heidelberg Retina Tomograph ◽  
Probability Score ◽  
Glaucoma Probability Score

Sensitivity and Specificity With the Glaucoma Probability Score in Heidelberg Retina Tomograph II in Japanese Eyes

2009 ◽  
Vol 18 (3) ◽  
pp. 227-232 ◽  
Author(s):  
Hitomi Saito ◽  
Atsuo Tomidokoro ◽  
Mieko Yanagisawa ◽  
Aiko Iwase ◽  
Makoto Araie
Keyword(s):  
Sensitivity And Specificity ◽  
Heidelberg Retina Tomograph ◽  
Probability Score ◽  
Glaucoma Probability Score

scholarly journals HRT for the Diagnosis and Detection of Glaucoma Progression

2015 ◽  
Vol 9 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Jessica S Maslin ◽  
Kaweh Mansouri ◽  
Syril K Dorairaj
Keyword(s):  
Regression Analysis ◽  
Optic Disc ◽  
Clinical Examination ◽  
Screening Test ◽  
Ease Of Use ◽  
Three Dimensions ◽  
Probability Score ◽  
Confocal Scanning ◽  
Confocal Scanning Laser ◽  
Glaucoma Probability Score

Confocal scanning laser ophthalmoscopy through the Heidelberg Retina Tomograph (HRT) provides a rapid, safe, noncontact, and noninvasive imaging of the optic disc in three-dimensions, and provides precise detailed information about the optic disc beyond that which the clinical exam can measure. The HRT I was developed for research purposes only and was not used clinically. The HRT II was developed to be user-friendly, more rapid, and was used as an adjunct to clinical examination in the detection and progression of glaucoma. One of the main pitfalls of the HRT II was that it was operator-dependent. The HRT III was developed to be operator-independent. Initially the Moorsfield Regression Analysis provided the analysis of the stereometric optic disc parameters. The Glaucoma Probability Score, given its ease of use, operator-independence, and rapidity of use, soon gained popularity. Numerous studies have compared these two methods of analysis, with the conclusion that the Glaucoma Probability Score provides a higher sensitivity and a lower specificity than the Moorsfield Regression Analysis, which may indicate that it has potential as a screening test for glaucoma. However, there is no consensus on the use of the Glaucoma Probability Score as a screening test for glaucoma. While HRT data may be useful as a clinical adjunct in the screening and diagnosis of glaucoma, it should ultimately only be used to support clinical examination.

Linear Discriminant Functions to Improve the Glaucoma Probability Score Analysis to Detect Glaucomatous Optic Nerve Heads

2013 ◽  
Vol 22 (2) ◽  
pp. 73-79 ◽  
Author(s):  
Michele Iester ◽  
Francesco Oddone ◽  
Mirko Prato ◽  
Marco Centofanti ◽  
Paolo Fogagnolo ◽  
...  
Keyword(s):  
Optic Nerve ◽  
Discriminant Functions ◽  
Linear Discriminant ◽  
Probability Score ◽  
Score Analysis ◽  
Glaucoma Probability Score
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