NCT06577012

Potential Risk Factors and Predictive Model Construction of OBL During SMILE

Predicting an Opaque Bubble Layer During Small-Incision Lenticule Extraction Surgery Based on Deep Learning

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 4,678 (actual)
• Sponsor: Second Affiliated Hospital of Nanchang University · Academic / Other
• Sex: All
• Age: 18 Years – 45 Years
• Healthy volunteers: Accepted

Summary

To explore the prediction of OBL by deep learning model in SMILE surgery

Detailed description

The DL model was used to predict the OBL area during SMILE surgery by identifying the corneal full-view images before laser scanning. The DL model developed may assist surgeons to predict the possible OBL area of patients in advance, so as to adjust some surgical parameters and reduce the formation of OBL, which can avoid negative effects on surgeons' operation and patients' postoperative visual recovery, which has important practical significance.

Conditions

• Myopia
• Small-incision Lenticule Extraction (SMILE) Surgery

Interventions

Type	Name	Description
PROCEDURE	Small incision lenticule extraction	Small incision lenticule extraction surgeries performed by two Refractive surgery experts (Refractive surgery expert 1: YYF, Associate Professor with 10 years of experience as a refractive surgeon; Refractive surgery expert 2: GF, Associate Professor with 5 years of experience as a refractive surgeon) and a Attending ophthalmologist (XJ, Attending ophthalmologist with 1 year of experience as a refractive surgeon).

Timeline

• Start date: 2024-05-01
• Primary completion: 2024-08-01
• Completion: 2024-08-01
• First posted: 2024-08-29
• Last updated: 2024-08-29

Locations

1 site across 1 country: China