Myopia, Small-incision Lenticule Extraction (SMILE) Surgery
Conditions
Keywords
small-incision lenticule extraction (SMILE), artificial intelligence, opaque bubble layer
Brief 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.
Interventions
PROCEDURESmall 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).
Sponsors
Second Affiliated Hospital of Nanchang University
Study design
Observational model
OTHER
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 45 Years
Healthy volunteers
Yes
Inclusion criteria
* A condition in which the spherical equivalent refractive error of an eye is ≤ -0.50 D when ocular accommodation is relaxed; * Age ≥18 years; * Spherical equivalent (SE) ≥ -10.0D; * Corrected distance visual acuity (CDVA) ≥ 16/20; * Stable myopia for at least 2 years; * No contact lenses wearing for at least 2 weeks
Exclusion criteria
* The presence or history of eye conditions other than myopia and astigmatism, such as keratoconus or external eye injury; * A history of eye surgery; * The presence or history of systemic diseases.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The area of patients with opaque bubble layer in the SMILE surgeries | Day 0 | The area of patients with opaque bubble layer were observed during the SMILE surgeries. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Deep learning model | Day 0 | Predictive performance of deep learning model on the OBL in SMILE surgeries. |
| ResNet model | Day 0 | Predictive performance of ResNet model on the OBL in SMILE surgeries. |
| Vgg19 model | Day 0 | Predictive performance of Vgg model on the OBL in SMILE surgeries. |
| U-net model | Day 0 | Predictive performance of U-net model on the OBL in SMILE surgeries. |
Countries
China
Outcome results
None listed