Clinical Study Of The Nomogram Prediction Model For Visulyze-Assisted Femtosecond Laser Small Incision Lenticule Extraction
Published 2024 - 42nd Congress of the ESCRS
Reference: PP03.18 | Type: Free paper | DOI: 10.82333/nxb8-x193
Authors: Yanli Peng* 1 , Yanqing Li 1 , Yan Kang 1 , Ting Liu 2
1Chongqing Aier Eye Hospita,Chongqing ,China, 2Department of Ophthalmology, The First Affiliated Hospital of Jinan University,Guangzhou,China
Purpose
Nomogram prediction modeling of femtosecond laser small incision lenticule extraction (SMILE) for refractive error using VISULYZE software.
Setting
Department of Refractive Surgery, Chongqing Aier Eye Hospital, Chongqing, China
Methods
This is a prospective cohort study. Patients with refractive errors who underwent SMILE procedures between January and June of 2023 were included. Subjective optometry, intraoperative corrected refractive error, target postoperative refractive error (Target value), preoperative and postoperative 3mo naked eye distance visual acuity (UDVA), corrected distance visual acuity (CDVA), and other data were gathered. A Nomogram prediction model was then developed using either simple linear regression or quadratic regression to visualize and assess the validity, safety, stability, and predictability of the visual outcomes following refractive surgery.
Results
A total of 200 samples were collected to form a refractive 9-link chart, and a Nomogram prediction model was developed.Effectiveness: 97% of the cumulative number of eyes with preoperative CDVA of 20/20 or greater, and 98% of the same type of UDVA at 3 months postoperatively; Safety: 100% of eyes with unchanged or better CDVA compared to the preoperative CDVA line at 3 months postoperatively for both distance- and near-sighted eyes; Stability: 0% of eyes with a change of more than 0.50 D between 3 months postoperatively. Predictability: the proportion of eyes within 0.50 D of the target refraction at 3 months postoperatively was 100%. nomogram prediction formula: y=0.9793*x-0.1204, R2=0.9878; slope close to 1, a favorable result.
Conclusions
SMILE is safe, effective, and predictable to correct refractive errors. The Nomogram prediction model of SMILE established by VISULYZE software can target specific doctors, surgical modalities, optometrists, and environments, and identify and correct systematic errors, providing specific reference adjustments for accurate SMILE personalized surgery, which is worthy of clinical promotion and application.