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Regression Analysis of Optical Coherence Tomography Disc Variables for Glaucoma Diagnosis

Overview of attention for article published in Journal of Glaucoma, August 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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24 Mendeley
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Article details
Title
Regression Analysis of Optical Coherence Tomography Disc Variables for Glaucoma Diagnosis
Published in
Journal of Glaucoma, August 2016
DOI 10.1097/ijg.0000000000000378
Pubmed ID
Authors
Abstract

To report diagnostic accuracy of optical coherence tomography (OCT) disc variables using both time-domain (TD) and Fourier-domain (FD) OCT, and to improve the use of OCT disc variable measurements for glaucoma diagnosis through regression analyses that adjust for optic disc size and axial length-based magnification error. Observational, cross-sectional. In total, 180 normal eyes of 112 participants and 180 eyes of 138 participants with perimetric glaucoma from the Advanced Imaging for Glaucoma Study. Diagnostic variables evaluated from TD-OCT and FD-OCT were: disc area, rim area, rim volume, optic nerve head volume, vertical cup-to-disc ratio (CDR), and horizontal CDR. These were compared with overall retinal nerve fiber layer thickness and ganglion cell complex. Regression analyses were performed that corrected for optic disc size and axial length. Area-under-receiver-operating curves (AUROC) were used to assess diagnostic accuracy before and after the adjustments. An index based on multiple logistic regression that combined optic disc variables with axial length was also explored with the aim of improving diagnostic accuracy of disc variables. Comparison of diagnostic accuracy of disc variables, as measured by AUROC. The unadjusted disc variables with the highest diagnostic accuracies were: rim volume for TD-OCT (AUROC=0.864) and vertical CDR (AUROC=0.874) for FD-OCT. Magnification correction significantly worsened diagnostic accuracy for rim variables, and while optic disc size adjustments partially restored diagnostic accuracy, the adjusted AUROCs were still lower. Axial length adjustments to disc variables in the form of multiple logistic regression indices led to a slight but insignificant improvement in diagnostic accuracy. Our various regression approaches were not able to significantly improve disc-based OCT glaucoma diagnosis. However, disc rim area and vertical CDR had very high diagnostic accuracy, and these disc variables can serve to complement additional OCT measurements for diagnosis of glaucoma.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Bachelor 2 8%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 1 4%
Other 2 8%
Unknown 12 50%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 46%
Nursing and Health Professions 1 4%
Psychology 1 4%
Neuroscience 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 9 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2017.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Journal of Glaucoma
#317
of 2,829 outputs
Outputs of similar age
#112,836
of 381,029 outputs
Outputs of similar age from Journal of Glaucoma
#8
of 84 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,829 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 381,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.