# Procrustes analysis of a shape of pediatric supracondylar humerus fractures

**Authors:** Ryszard Tomaszewski, Jerzy Dajka

PMC · DOI: 10.1038/s41598-024-64347-3 · Scientific Reports · 2024-06-10

## TL;DR

This paper uses Procrustes analysis to study the shape variability of pediatric humeral fractures in different X-ray views.

## Contribution

The study introduces statistical shape analysis to quantify variability in pediatric humeral fracture shapes across imaging views.

## Key findings

- Procrustes mean shapes in AP and lateral views are statistically similar.
- AP and lateral views show different variability in shape principal components.
- Statistical shape analysis provides insights for preoperative planning in pediatric fractures.

## Abstract

Shape of supracondylar fracture of the humeral of pediatric patients is analysed with Procrustes method. XR-images of fractures are considered both in anterio-posterior (AP) view and in a lateral (L) view. Applying Procrustes method for both views mean images are constructed and compared. Variability of shapes is quantified with a shape principal component analysis. Possibility of predictions of typical shape of humeral fracture and its variability using statistical shape analysis offers additional information on injury characteristics important in preoperative planning. Non-parametric tests (permutational and bootstrap) do not indicate statistical difference between Procrustes mean shapes in anterio-posterior and lateral projections. It is shown, however, that AP and L shapes of humeral fractures differ in their variability quantified by shape principal components.

## Full-text entities

- **Diseases:** supracondylar fracture of the (MESH:D000092483), fractures (MESH:D050723), humeral fracture (MESH:D006810)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11164702/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC11164702/full.md

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Source: https://tomesphere.com/paper/PMC11164702