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Correlation between different Scheimpflug-based lens densitometry analysis and effective phacoemulsification time in
Fernando Faria-Correia1,2,3,4,5,6, Bernardo Lopes7,8, Tiago Monteiro9,10
1Ophthalmology Department, Hospital de Braga, Braga, Portugal. f.faria.correia@gmail.com.
International Ophthalmology
|May 28, 2017
Summary
Preoperative lens densitometry using the 3D method strongly correlates with effective phacoemulsification time (EPT) in nuclear cataracts. This analysis can help predict surgical time for better cataract surgery planning.
Area of Science:
- Ophthalmology
- Medical Imaging
- Surgical Technology
Background:
- Age-related nuclear cataracts are a leading cause of visual impairment.
- Phacoemulsification is the standard surgical procedure for cataract removal.
- Predicting effective phacoemulsification time (EPT) is crucial for optimizing surgical efficiency and patient outcomes.
Purpose of the Study:
- To investigate the correlation between preoperative Scheimpflug-based lens densitometry and EPT in patients with age-related nuclear cataracts.
- To determine which lens densitometry parameters best predict EPT.
Main Methods:
- A retrospective study of 50 eyes with nuclear cataracts undergoing phacoemulsification.
- Lens densitometry was assessed using Scheimpflug imaging with Pentacam Nucleus Staging (PNS), three-dimensional (3D), linear, and region of interest (ROI) methods.
- Correlations between densitometry variables and EPT were analyzed using Pearson or Spearman coefficients.
Main Results:
- Significant correlations were found between EPT and average/maximum density from the 3D and ROI methods (p < 0.001).
- Average density from linear analysis also correlated significantly with EPT (p = 0.039).
- The PNS score did not show a significant correlation with EPT (p = 0.390).
Conclusions:
- Scheimpflug-based lens densitometry, particularly using the 3D method, demonstrates strong correlations with EPT.
- Preoperative lens densitometry analysis can be a valuable tool for predicting EPT in nuclear cataracts.
- This predictive capability can enhance the efficiency of cataract surgery planning.

