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Fractures: Bone Repair

Fractures: Bone Repair

Treatment for a fracture is based on the type of break, the bone affected, and the patient's age.
Minor fractures with no bone displacement are treated by immobilizing the fractured bone using a cast or splint. However, in the case of fractures with displaced bones, the broken bones are repositioned before immobilization to ensure successful healing without deformation and loss of function. The realignment of fractured bone ends is performed through a process called reduction. If the...

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Imaging of the Microstructural Failure Mechanism in the Human Hip

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Predicting fractures using trabecular patterns on panoramic radiographs.

Wil Geraets¹, Grethe Jonasson^2,3, Magnus Hakeberg³

¹Department of Oral and Maxillofacial Radiology, Academic Centre for Dentistry Amsterdam (ACTA), Gustav Mahlerlaan 3004, 1081 LA, Amsterdam, The Netherlands. w.geraets@acta.nl.

Clinical Oral Investigations

|June 2, 2017

Summary

Panoramic radiographs effectively predict fractures in postmenopausal women. Combining observer assessment with texture analysis significantly enhances fracture prediction accuracy.

Keywords:

Fracture prediction Observer score Panoramic radiographs ROC analysis Trabecular pattern

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Imaging of the Microstructural Failure Mechanism in the Human Hip

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Published on: September 29, 2023

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

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Published on: September 14, 2017

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

Area of Science:

Radiology
Osteoporosis Research
Biomedical Imaging Analysis

Background:

The trabecular pattern on panoramic radiographs is a recognized predictor of bone fractures.
Enhancing the predictive capabilities of these radiographs is crucial for fracture risk assessment.

Purpose of the Study:

To improve the fracture prediction accuracy of panoramic radiographs.
To investigate the utility of texture analysis methods in conjunction with observer assessment of trabecular patterns.

Main Methods:

A longitudinal study followed 304 postmenopausal women for 26 years.
Trabecular patterns on initial panoramic radiographs were assessed by an observer.
Texture analysis was applied to selected regions of interest on the radiographs.

Main Results:

The observer's assessment of the trabecular pattern was the strongest predictor of fractures.
The observer score alone achieved an ROC area of 0.80.
Combining observer score with texture analysis features increased the ROC area to 0.85.

Conclusions:

The trabecular pattern on panoramic radiographs is a strong fracture predictor in postmenopausal women.
Texture analysis combined with observer assessment significantly enhances predictive power.
Panoramic radiographs are advanced tools for predicting postcranial fractures.