Applying Biomechanics’ Algorithm To Refractive Surgery – The Bait Nomogram
Published 2022
- 40th Congress of the ESCRS
Reference: PP06.15
| Type: Free paper
| DOI:
10.82333/tas7-z418
Authors:
Dishitha Rathod* 1
, Rohit Shetty 1
, Pooja Khamar 1
, Sneha Sengupta 1
1Cataract and Refractive,Narayana Nethralaya,Bangalore,India
Purpose
To delineate an algorithm to plan refractive surgeries on the basis of corneal tomography and biomechanics, so as to select the right candidates for each treatment, in order to optimise visual, tomographic and biomechanical outcomes after surgery.
Setting
Narayana Nethralaya, Bangalore.
Methods
Based on our algorithm, 100 eyes (Group 1) - normal tomography and biomechanical indices; 100 eyes (Group 2) Borderline tomography and borderline biomechanical indices; 80 eyes (Group 3) - Borderline tomography and normal biomechanical indices; 65 eyes (Group 4) - Abnormal tomography and abnormal biomechanical indices, underwent corneal tomography (Pentacam HR) and biomechanical assessment (Corvis-ST) pre-operatively. Refractive surgery was performed as per the algorithm. After surgery, their visual acuity, tomography and biomechanics were re-assessed at 1, 3, 6, 12 & 36 months post-operatively.
Results
There was no significant difference in efficacy and safety index (p<0.05) in 4 groups. 3 years post-surgery, none developed ectasia. Excellent ICC (>0.9) demonstrated accuracy of algorithm.
Conclusions
Application of this algorithm showed promising results in the surgical management of refractive errors. It can be easily used by clinicians to customise treatment for each patient desiring refractive surgery, thus enhancing outcomes and minimising complications.