研究目的
To assess the repeatability of a Hartmann–Shack aberrometer measurement in a pseudophakic study population.
研究成果
Hartmann–Shack measurements with the WASCA device demonstrate good repeatability for all Zernike polynomials up to the fourth order in pseudophakic eyes, making it suitable for assessing higher-order aberrations in cases of postoperative unsatisfactory image quality despite good defocus and astigmatism values.
研究不足
The repeatability of wavefront measurements with a pharmacologically dilated pupil may not reflect real-life conditions, as dilation can influence higher-order aberrations. The study did not regulate the IOL selection process, as recruitment was postoperative.
1：Experimental Design and Method Selection:
A prospective study design was used to evaluate the repeatability of wavefront measurements using a Hartmann–Shack aberrometer (WASCA) in pseudophakic eyes. Three consecutive measurements were performed on the same day after pharmacological pupil dilation.
2：Sample Selection and Data Sources:
The study included 156 pseudophakic patients (156 eyes) who had undergone cataract surgery 1 to 3 months prior. Patients with pupils that did not dilate sufficiently (<3 mm) were excluded.
3：List of Experimental Equipment and Materials:
The WASCA analyzer (Carl Zeiss Meditec AG, Germany) was used for wavefront measurements. Pharmacological dilation agents included tropicamide
4：5% (Agepha or Minims, Bausch & Lomb). Intraocular lenses (IOLs) implanted were Tecnis ZA 9003, Tecnis ZCB00, Tecnis toric EK194 (Johnson and Johnson, USA), and CT Asphina 409MP (Carl Zeiss Meditec AG, Germany). Experimental Procedures and Operational Workflow:
After pupil dilation, three consecutive wavefront measurements were performed using the WASCA device. The first operated eye was selected for measurement.
5：Data Analysis Methods:
Statistical analysis was conducted using Microsoft Excel
6：0 for Mac with Statplus:
mac and Xlstat plug-ins. Descriptive statistics (median, range, standard deviation) and intraclass correlation coefficients (ICCs) were calculated using BiAS for Windows. Data normality was assessed, and non-parametric tests were applied as needed.
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