Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam. Issue 1 (December 2017)
- Record Type:
- Journal Article
- Title:
- Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam. Issue 1 (December 2017)
- Main Title:
- Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
- Authors:
- Xu, Zhe
Li, Weibo
Jiang, Jun
Zhuang, Xiran
Chen, Wei
Peng, Mei
Wang, Jianhua
Lu, Fan
Shen, Meixiao
Wang, Yuanyuan - Abstract:
- Abstract The study aimed to characterize the entire corneal topography and tomography for the detection of sub-clinical keratoconus (KC) with a Zernike application method. Normal subjects (n = 147; 147 eyes), sub-clinical KC patients (n = 77; 77 eyes), and KC patients (n = 139; 139 eyes) were imaged with the Pentacam HR system. The entire corneal data of pachymetry and elevation of both the anterior and posterior surfaces were exported from the Pentacam HR software. Zernike polynomials fitting was used to quantify the 3D distribution of the corneal thickness and surface elevation. The root mean square (RMS) values for each order and the total high-order irregularity were calculated. Multimeric discriminant functions combined with individual indices were built using linear step discriminant analysis. Receiver operating characteristic curves determined the diagnostic accuracy (area under the curve, AUC). The 3rd-order RMS of the posterior surface (AUC: 0.928) obtained the highest discriminating capability in sub-clinical KC eyes. The multimeric function, which consisted of the Zernike fitting indices of corneal posterior elevation, showed the highest discriminant ability (AUC: 0.951). Indices generated from the elevation of posterior surface and thickness measurements over the entire cornea using the Zernike method based on the Pentacam HR system were able to identify very early KC.
- Is Part Of:
- Scientific reports. Volume 7:Issue 1(2017)
- Journal:
- Scientific reports
- Issue:
- Volume 7:Issue 1(2017)
- Issue Display:
- Volume 7, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 7
- Issue:
- 1
- Issue Sort Value:
- 2017-0007-0001-0000
- Page Start:
- 1
- Page End:
- 10
- Publication Date:
- 2017-12
- Subjects:
- Natural history -- Research -- Periodicals
Biology -- Research -- Periodicals
Physical sciences -- Research -- Periodicals
Earth sciences -- Research -- Periodicals
Environmental sciences -- Research -- Periodicals
502.85 - Journal URLs:
- http://www.nature.com/ ↗
http://www.nature.com/srep/index.html ↗ - DOI:
- 10.1038/s41598-017-16568-y ↗
- Languages:
- English
- ISSNs:
- 2045-2322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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