Related Experiment Video
Updated: Jan 21, 2026
07:14
Guided Endodontics: Three-Dimensional Planning and Template-Aided Preparation of Endodontic Access Cavities
Published on: May 24, 2022
5.1K
Optimising Outcomes in Endodontic Microsurgery: Evidence, Uncertainties and Future Directions
1Department of Conservative Dentistry and Oral Science Research Center, Microscope Center, Yonsei University College of Dentistry, Seoul, Korea.
International Endodontic Journal
|January 20, 2026
Summary
Endodontic microsurgery (EMS) outcomes depend on lesion type, with isolated lesions faring better. While regenerative procedures and guided surgery show promise, their effectiveness requires further study for optimal periapical lesion management.
Area of Science:
- Endodontics
- Oral Surgery
- Regenerative Medicine
Background:
- Endodontic microsurgery (EMS) is crucial for persistent periapical pathologies.
- Lesion type significantly impacts EMS success rates.
- Conventional retreatment is often infeasible or has failed.
Purpose of the Study:
- To review factors influencing endodontic microsurgery outcomes.
- To assess the role of lesion type, regenerative procedures, and guided surgery.
- To provide guidance for clinical decision-making in EMS.
Main Methods:
- Literature review of endodontic microsurgery studies.
- Analysis of factors affecting periapical lesion management.
- Evaluation of adjunctive regenerative and guided surgical techniques.
Main Results:
- Isolated endodontic lesions have favorable outcomes; combined or through-and-through lesions are challenging.
- Evidence for adjunctive regenerative procedures is inconclusive, needing further research.
- Guided surgical systems may enhance precision, especially in specific lesion types.
Conclusions:
- Lesion type is a key determinant of EMS prognosis.
- Critical assessment of adjunctive regenerative procedures and technologies is needed.
- EMS indications may expand with careful case selection and technique.
More Related Videos
Related Concept Videos
04:08The Uncertainty Principle
31.3K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
31.3K
02:46Uncertainty in Measurement: Reading Instruments
50.4K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
50.4K
02:55The Evidence for Evolution
47.7K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
47.7K
00:59Uncertainty: Overview
1.6K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.6K
03:34Uncertainty in Measurement: Significant Figures
80.2K
All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
80.2K
00:54Uncertainty: Confidence Intervals
10.2K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
10.2K