Prediction of Visual Characteristics After Corneal Ring Implantation in Keratoconus Patients

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Bakhtiarnia Marjan; MAGHOOLI KEIVAN; FAROKHI FARDAD; JADIDI KHOSROW

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Yafteh Year:2020 | Volume:22 | Issue:2 (84) Page(s): 11-21

Download Full-Text

Persian Verion

View:

427

Download:

Cites:

Information Journal Paper

Title

Prediction of Visual Characteristics After Corneal Ring Implantation in Keratoconus Patients

Author(s)

Bakhtiarnia Marjan | MAGHOOLI KEIVAN | FAROKHI FARDAD | JADIDI KHOSROW | Issue Writer Certificate

Keywords

KeratoconusQ1

Visual characteristicsQ1

Prediction of characteristicsQ1

Tests of visual characteristicsQ1

Ring implantationQ1

Neural network methodQ1

Abstract

Background: Keratoconus is a common disease characterized by progressive corneal slimming and steepening. The disease progression is generally accompanied by the significant decline in the vision, aggravation of irregular corneal astigmatism and the resultant decrease in the patient's quality of life. One of the successful treatments for Keratoconus is the corneal Ring implantation. The prediction of post-surgical Visual characteristics has been considered in this study to assist the ophthalmologist in appropriately choosing surgery candidates. Materials and Methods: In this study, the set of data collected from numerous tests of Visual characteristics performed before and after implanting the keraring and myoring rings has been utilized. By using MATLAB software, the Visual characteristics of Keratoconus patients after implanting the rings have been estimated through correct training of the proposed neural networks. The characteristics include: uncorrected visual acuity (UCVA), sphere (SPH), astigmatism (Ast), orientation of astigmatism (Axis), and best corrected visual acuity (BCVA). Results: In this research, for the first time, the Visual characteristics of Keratoconus patients six and twelve months after implanting the corneal ring have been predicted with the mean error of 9. 51% manipulating a novel neural-network-based method. Conclusion: The results indicate the precision and accuracy of the proposed method in predicting the Visual characteristics of Keratoconus patients after implanting the corneal rings. The ophthal-mologist could precisely choose the right candidate for surgery amongst his patients based on the estimated characteristics.

Cites

No record.

References

Cite

APA: Copy

Bakhtiarnia, Marjan, MAGHOOLI, KEIVAN, FAROKHI, FARDAD, & JADIDI, KHOSROW. (2020). Prediction of Visual Characteristics After Corneal Ring Implantation in Keratoconus Patients. YAFTEH, 22(2 (84) ), 11-21. SID. https://sid.ir/paper/367397/en

Vancouver: Copy

Bakhtiarnia Marjan, MAGHOOLI KEIVAN, FAROKHI FARDAD, JADIDI KHOSROW. Prediction of Visual Characteristics After Corneal Ring Implantation in Keratoconus Patients. YAFTEH[Internet]. 2020;22(2 (84) ):11-21. Available from: https://sid.ir/paper/367397/en

IEEE: Copy

Marjan Bakhtiarnia, KEIVAN MAGHOOLI, FARDAD FAROKHI, and KHOSROW JADIDI, “Prediction of Visual Characteristics After Corneal Ring Implantation in Keratoconus Patients,” YAFTEH, vol. 22, no. 2 (84) , pp. 11–21, 2020, [Online]. Available: https://sid.ir/paper/367397/en

Related Journal Papers