Image-guided lens extraction surgery: a systematic review.
Eirini-Kanella Panagiotopoulou1, Panagiota Ntonti1, Maria Gkika1
1Department of Ophthalmology, University Hospital of Alexandroupolis, Dragana, Alexandroupolis 68100, Greece.
International Journal of Ophthalmology
|January 22, 2019
Summary
Image-guided systems offer accurate keratometry and IOL power calculations for cataract surgery. While not yet interchangeable with existing devices, they outperform manual marking for toric IOL alignment.
Area of Science:
- Ophthalmology
- Medical Technology
- Surgical Navigation
Background:
- Cataract surgery and refractive lens exchange increasingly utilize advanced imaging.
- Accurate keratometry and toric intraocular lens (IOL) alignment are crucial for optimal visual outcomes.
Purpose of the Study:
- To systematically review and evaluate current image-guided systems for cataract and refractive lens exchange surgery.
- To compare the accuracy, repeatability, and reproducibility of image-guided systems against established keratometric devices and manual techniques.
Main Methods:
- A systematic literature review was conducted using PubMed and Google Scholar in March 2018.
- 21 eligible studies were analyzed, comparing image-guided systems with other keratometric devices and manual ink-marking for toric IOL alignment.
Main Results:
- Image-guided systems demonstrate high repeatability and reproducibility in keratometry and IOL power calculations.
- These systems are not yet interchangeable with current validated keratometric devices.
- Image-guided systems show superiority over manual ink-marking techniques for toric IOL alignment.
Conclusions:
- Image-guided systems represent an accurate and reliable technology for ophthalmic surgery.
- Further validation is needed for interchangeability with established keratometric devices.
- These systems offer a significant advantage in toric IOL alignment compared to conventional methods.
Related Concept Videos
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.2K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Random and Systematic Errors
14.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Systematic Sampling Method
13.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.2K
Propagation of Uncertainty from Systematic Error
1.5K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Systematic Error: Methodological and Sampling Errors
11.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.0K


