Accepted Manuscript A novel Zernike application to differentiate between 3-D corneal thickness of normal corneas and corneas with keratoconus Rohit Shetty, MD, FRCS, Himanshu Matalia, MD, Purnima Srivatsa, MD, Arkasubhra Ghosh, Phd, William J. Dupps, Jr., MD, PhD, Abhijit Sinha Roy, PhD PII:
S0002-9394(15)00340-2
DOI:
10.1016/j.ajo.2015.06.001
Reference:
AJOPHT 9359
To appear in:
American Journal of Ophthalmology
Received Date: 6 January 2015 Revised Date:
2 June 2015
Accepted Date: 2 June 2015
Please cite this article as: Shetty R, Matalia H, Srivatsa P, Ghosh A, Dupps Jr. WJ, Sinha Roy A, A novel Zernike application to differentiate between 3-D corneal thickness of normal corneas and corneas with keratoconus, American Journal of Ophthalmology (2015), doi: 10.1016/j.ajo.2015.06.001. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ABSTRACT Purpose: To evaluate a novel Zernike algorithm to differentiate 3-D corneal thickness distribution of corneas with keratoconus (KC) from normal corneas Design: A retrospective development and evaluation of a diagnostic approach Methods: Corneal tomography with Scheimpflug imaging was performed in normal (43 eyes) and KC (85 eyes) corneas. Axial and tangential cone location magnitude index (axial CLMI and tangential CLMI, respectively) of the anterior and posterior surface were calculated. The aberrations of the anterior corneal surface were analyzed with Zernike polynomials. Pachymetric Zernike analyses (PZA) was used to map the 3-D thickness distribution of the cornea. Logistic regression was performed to develop a diagnostic procedure for KC using CLMI, PZA and aberrations. Receiver operating characteristic curve was constructed for each regression model. Corneal volume was also compared between normal and KC corneas. Only the central 5 mm zone was used for all analyses. Results: Among the PZA coefficients, 2nd and 3rd order root mean square of PZA coefficients were the best predictors of KC corneas (p
S0002-9394(15)00340-2
DOI:
10.1016/j.ajo.2015.06.001
Reference:
AJOPHT 9359
To appear in:
American Journal of Ophthalmology
Received Date: 6 January 2015 Revised Date:
2 June 2015
Accepted Date: 2 June 2015
Please cite this article as: Shetty R, Matalia H, Srivatsa P, Ghosh A, Dupps Jr. WJ, Sinha Roy A, A novel Zernike application to differentiate between 3-D corneal thickness of normal corneas and corneas with keratoconus, American Journal of Ophthalmology (2015), doi: 10.1016/j.ajo.2015.06.001. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT
AC C
EP
TE D
M AN U
SC
RI PT
ABSTRACT Purpose: To evaluate a novel Zernike algorithm to differentiate 3-D corneal thickness distribution of corneas with keratoconus (KC) from normal corneas Design: A retrospective development and evaluation of a diagnostic approach Methods: Corneal tomography with Scheimpflug imaging was performed in normal (43 eyes) and KC (85 eyes) corneas. Axial and tangential cone location magnitude index (axial CLMI and tangential CLMI, respectively) of the anterior and posterior surface were calculated. The aberrations of the anterior corneal surface were analyzed with Zernike polynomials. Pachymetric Zernike analyses (PZA) was used to map the 3-D thickness distribution of the cornea. Logistic regression was performed to develop a diagnostic procedure for KC using CLMI, PZA and aberrations. Receiver operating characteristic curve was constructed for each regression model. Corneal volume was also compared between normal and KC corneas. Only the central 5 mm zone was used for all analyses. Results: Among the PZA coefficients, 2nd and 3rd order root mean square of PZA coefficients were the best predictors of KC corneas (p
