2019
DOI: 10.1016/j.ophtha.2018.08.010
|View full text |Cite
|
Sign up to set email alerts
|

A Comparison between the Compass Fundus Perimeter and the Humphrey Field Analyzer

Abstract: Relative diagnostic precision of the 2 devices is equivalent. Test-retest variability of MS for CMP was better than for HFA.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

5
55
0
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 47 publications
(62 citation statements)
references
References 29 publications
5
55
0
2
Order By: Relevance
“…Our model increases feature correlation and expression learning, exploiting the horizontally-layered retinal structure and the biological knowledge that retinal surfaces can be modeled as partitioned layers along the vertical dimension. We showcase the diagnostic precision and agreement of our method with ground truth RNFL (commonly assessed layer) segmen-tations from two independent studies [1,15]. Finally, we demonstrate the superiority of our method in segmenting all retinal layers using the Duke dataset [16].…”
Section: Introductionmentioning
confidence: 66%
See 1 more Smart Citation
“…Our model increases feature correlation and expression learning, exploiting the horizontally-layered retinal structure and the biological knowledge that retinal surfaces can be modeled as partitioned layers along the vertical dimension. We showcase the diagnostic precision and agreement of our method with ground truth RNFL (commonly assessed layer) segmen-tations from two independent studies [1,15]. Finally, we demonstrate the superiority of our method in segmenting all retinal layers using the Duke dataset [16].…”
Section: Introductionmentioning
confidence: 66%
“…We used two clinical studies, COMPASS [15] and RAPID [1], and the publicly available Duke dataset [3] to evaluate our proposed methodology, conducting RAPID study The RAPID study consists of 82 stable glaucoma patients attended Moorfields Eye Hospital for up to 10 visits within a 3-month period, consisting of 502 SDOCT (SpectralisOCT, Heidelberg Engineering) images. We split the RAPID study into training, validation and testing images [1].…”
Section: Datamentioning
confidence: 99%
“…The model for the macular sensitivities was estimated using a large collection of visual field tests from 444 healthy subjects recruited for the validation study for the Compass. 18 These subjects were examined with a grid that contained all the points of a 24-2 grid with 12 additional macular points. A mixed model with eccentricity and age as predictors was used to estimate the normal sensitivity for the tested locations.…”
Section: Methodsmentioning
confidence: 99%
“…To improve the accuracy of our model, we used a fundus perimeter employing an implementation of the ZEST as the standard testing strategy and equipped with scanning laser ophthalmoscopy (SLO) tracking to acquire measurements from healthy subjects and patients with glaucoma. 1618 This allowed precise localization of the stimuli on the structural maps. Furthermore, instead of using the final thresholds from the tests, we built our model based on subjects' binary responses (seen or not seen) to each stimulus projected during the test.…”
Section: Introductionmentioning
confidence: 99%
“…12,13 Only one commercial microperimeter, the Compass (CenterVue, Padova, Italy), uses the Total and Pattern Deviation probability analyses. 14 The remaining microperimeters represent the measured sensitivity at each stimulus location by a continuous scale of color designation. The color designation represents the absolute value of sensitivity, but the normal value, to which the sensitivity is referenced, varies as a function of eccentricity and of age.…”
Section: Introductionmentioning
confidence: 99%