Investigation of predictability and influence factors of the achieved lenticule thickness in small incision lenticule extraction

• Published in: BMC ophthalmology 2020-03, Vol.20 (1), p.110-110, Article 110
• Main Authors: Wu, Fang, Yin, Houfa, Chen, Xinyi, Yang, Yabo
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Cornea; Corneal Pachymetry; Corneal Stroma - diagnostic imaging; Corneal Stroma - surgery; Corneal Surgery, Laser - methods; Corneal Topography; Female; Follow-Up Studies; Humans; Investigations; Lasers; Lasers, Excimer - therapeutic use; Lenticule depth; Lenticule thickness; Male; Medical lasers; Medical research; Myopia - diagnosis; Myopia - physiopathology; Myopia - surgery; Nomograms; Ophthalmology; Patients; Predictability; Prognosis; Prospective Studies; Refraction, Ocular - physiology; Regression analysis; SMILE; Software; Statistical analysis; Surgery; Ultrasonic imaging; Ultrasonography; Values; Variance analysis; Visual Acuity; Young Adult
• ISSN: 1471-2415; 1471-2415
• DOI: 10.1186/s12886-020-01374-4

To evaluate the differences between the predicted and achieved lenticule thickness (ΔLT) after small incision lenticule extraction (SMILE) surgery and investigate relationships between ΔLT and predicted lenticule thickness in SMILE. A total of 184 eyes from 184 consecutive patients who underwent SMILE were included in this prospective study. One eye for each patient was randomly selected and included for statistical analysis. To achieve emmetropia, nomogram adds 10% correction of spherical refractive. An ultrasound pachymetry measurement and Scheimpflug camera corneal topography were obtained before and at 3 months after SMILE. The achieved lenticule thickness was calculated by comparing the preoperative examinations with postoperative examinations using ultrasound pachymetry and Pentacam software measurements. The pupil center and corneal vertex were selected as the 2 locations for measurement calculation on Pentacam. Analysis of variance (ANOVA) was performed to compare mean pachymetry values using different instruments. Linear regression analyses were performed between the VisuMax readout lenticule thicknesses and the measured maximum corneal change, between ΔLT and predicted lenticule thickness. On average, the achieved lenticule thickness measured with ultrasound pachymetry was 13.02 ± 8.87 μm thinner than the predicted lenticule thickness. The proportion of ΔLT in predicted values is 11.9% (ultrasound) and about 15% (Pentacam). Linear regression analysis showed significant relationships between the predicted and each achieved lenticule thickness. Each ΔLT was significantly related to predicted lenticule thickness (ultrasound: R  = 0.242; pupil center from Pentacam: R  = 0.230). An overestimation of achieved lenticule thickness was evident in this study which may exclude eligible SMILE patient. Also, our results showed that 10% increase of spherical refractive correction in the nomogram is appropriate. Furthermore, clinicians should subtract 10% of the predicted lenticule thickness to calculate the residual corneal stroma bed thickness.