Related Experiment Video
Updated: Feb 6, 2026
08:43
A Unified Methodological Framework for Vestibular Schwannoma Research
Published on: June 20, 2017
7.8K
Spontaneous Vestibular Schwannoma Regression: A Case-Control Study
Theofano Tikka1, Constantina P Yiannakis1, Emma Stapleton1
1Department of Otolaryngology, Skull Base Unit.
Summary
Vestibular schwannomas (VS) can spontaneously regress, with larger tumors located further from the fundus being more likely to shrink. This finding aids in patient counseling for growing VS.
Area of Science:
- Neuro-oncology
- Neurosurgery
- Otolaryngology
Background:
- Vestibular schwannomas (VS) are tumors of the vestibulocochlear nerve.
- While often treated surgically or with radiation, some VS exhibit spontaneous regression.
Purpose of the Study:
- To investigate the characteristics of spontaneously regressing vestibular schwannomas (VS).
- To identify potential predictive factors associated with VS regression.
Main Methods:
- Retrospective case-control study comparing regressing VS with growing VS.
- Analysis of serial magnetic resonance imaging (MRI) of the internal auditory meatus (IAM) and patient records.
- Univariate analysis of factors including tumor size, location, patient demographics, and neutrophil-to-lymphocyte ratio.
Main Results:
- 5.2% of 540 VS patients showed spontaneous regression over a mean follow-up of 122 months.
- Regressing VS were significantly larger and located further from the fundus compared to growing VS.
- No statistically significant differences were found for other examined factors.
Conclusions:
- This study is the first to compare regressing VS with a control group of growing VS.
- Tumor location near the porous acusticus internus is more common in regressing VS, offering insights for patient counseling.
Related Concept Videos
01:52Regression Toward the Mean
7.1K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.1K
02:21Spontaneity
30.1K
A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to...
30.1K
01:29The Vestibular System
44.0K
The vestibular system is a set of inner ear structures that provide a sense of balance and spatial orientation. This system is comprised of structures within the labyrinth of the inner ear, including the cochlea and two otolith organs—the utricle and saccule. The labyrinth also contains three semicircular canals—superior, posterior, and horizontal—that are oriented on different planes.
44.0K
01:25Multiple Regression
4.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
00:53Correlation and Regression
3.5K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.5K
01:11Regression Analysis
8.4K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
8.4K