Related Experiment Video
Updated: Feb 6, 2026
05:33
Three-Dimensional Shape Modeling and Analysis of Brain Structures
Published on: November 14, 2019
7.6K
Morphologic variations of the scapula in 3-dimensions: a statistical shape model approach
Stijn J Casier1, Robin Van den Broecke1, Jan Van Houcke1
1Department of Orthopaedics, Ghent University Hospital, Ghent, Belgium.
Journal of Shoulder and Elbow Surgery
|August 14, 2018
Summary
Statistical shape modeling revealed variations in healthy shoulder anatomy, particularly in the coracoacromial complex rotation and acromial shape. These findings may help identify risks for shoulder pathologies like osteoarthritis and rotator cuff tears.
Area of Science:
- Orthopedic surgery
- Biomechanical analysis
- Radiographic imaging
Background:
- Scapular and acromial morphologic variations are linked to shoulder pathology.
- Understanding normal anatomical variations is crucial for diagnosing shoulder conditions.
Purpose of the Study:
- To quantify morphologic variations in healthy scapulae and acromia using statistical shape modeling.
- To establish baseline parameters for normal shoulder anatomy.
Main Methods:
- A statistical shape model was developed from 108 3D CT scans of nonpathologic shoulders.
- Analysis focused on the first five principal shape modes, quantifying variations.
Main Results:
- The primary source of variation (72%) was overall size.
- Significant variations were observed in coracoacromial complex rotation (5%), acromial shape and slope (4%), and acromial overhang (2%).
Conclusions:
- Normal shoulders exhibit variations in coracoacromial complex rotation and acromial morphology.
- These quantitative parameters may serve as indicators for shoulder pathologies, including glenohumeral osteoarthritis and rotator cuff tears.
Related Concept Videos
01:50Statistical Significance
22.0K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.0K
01:14What is Variation?
18.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
02:53Conservative Site-specific Recombination and Phase Variation
6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
The recognition sites for Cre recombinase called LoxP...
6.8K
01:19Variation
8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
01:18Molecular Shapes
62.2K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
Two regions of electron density in a diatomic...
62.2K
02:32Variation: Normal Distribution, Range, and Standard Deviation
28.3K
In the field of psychology, there are several ways to organize measurements of a trait, feature, or characteristic (i.e., variables). Qualitative data, such as ethnicity, can be tabulated into a frequency count to provide information about the proportion, as well as the variety of groups in a sample or population. On the other hand, researchers can perform a wider set of calculations on quantitative data. The mean, mode, and median, for instance, are central tendency measures to identify a...
28.3K