Quantitative Analysis of Human Corneal Lenticule Surface Microstructure Irregularity with 3D Optical Profiler Using
Yanan Wu1,2, Yan Wang1,2, Zimiao Zhang3
1Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China.
Small incision lenticule extraction (SMILE) cutting quality varies, with higher myopia and complications leading to increased surface roughness. The anterior lenticule surface is smoother than the posterior, and roughness increases towards the periphery.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Laser Surgery
Background:
- Small Incision Lenticule Extraction (SMILE) is a popular refractive surgery procedure.
- Assessing the quality of the lenticule surface is crucial for understanding surgical outcomes.
- Corneal surface topography and smoothness impact visual acuity and patient satisfaction.
Purpose of the Study:
- To quantitatively evaluate the cutting quality of SMILE by measuring corneal lenticule surface roughness.
- To compare surface roughness in different areas (central, pericentral, peripheral) and planes (anterior, posterior) of the lenticule.
- To analyze the relationship between surface roughness and patient myopia levels.
Main Methods:
- White light interferometry was employed to measure surface roughness.
- Sixty-three myopic patients (102 eyes) undergoing SMILE surgery were included.
- Measurements were taken on the anterior and posterior surfaces of the corneal lenticule in various zones.
Main Results:
- The anterior lenticule surface was significantly smoother than the posterior surface (P < .01).
- Surface roughness increased progressively from the central to the peripheral areas of the lenticule (P < .01).
- Higher myopia correlated with increased peripheral surface roughness, and a positive correlation was found between posterior central roughness and Percentage Tissue Altered (PTA) score.
Conclusions:
- Femtosecond laser cutting in SMILE results in an inhomogeneous lenticule surface.
- Factors such as higher myopia and intraoperative complications like suction loss can contribute to greater surface irregularities.
- Understanding these factors is key to optimizing SMILE surgical precision and outcomes.
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