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Updated: Aug 4, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Bone metastases do not affect the measurement uncertainties of a global digital volume correlation algorithm
Giulia Cavazzoni1,2,3, Luca Cristofolini1, Enrico Dall'Ara2,3
1Department of Industrial Engineering, School of Engineering and Architecture, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Digital Volume Correlation (DVC) measurement uncertainties are minimally affected by heterogeneous trabecular microstructures in metastatic vertebrae. This finding suggests DVC remains precise even in complex bone pathologies.
Area of Science:
- Biomechanics
- Medical Imaging
- Orthopedics
Background:
- Digital Volume Correlation (DVC) is a technique used to measure displacements and strains in materials.
- Factors influencing DVC measurement uncertainties include image quality and correlation algorithms.
- The impact of highly heterogeneous trabecular microstructures, common in bone metastases, on DVC precision is not well understood.
Purpose of the Study:
- To investigate whether heterogeneous trabecular microstructures in metastatic vertebrae affect the precision of DVC measurements.
- To assess the relationship between DVC measurement uncertainties and bone microstructural parameters in healthy and metastatic vertebrae.
Main Methods:
- Micro-computed tomography (microCT) scans of 15 metastatic and 9 healthy vertebral bodies under zero-strain conditions.
- Calculation of bone microstructural parameters (Bone Volume Fraction, Structure Thickness, Structure Separation, Structure Number).
- Evaluation of displacements and strains using a global DVC approach (BoneDVC) and analysis of the standard deviation of the error (SDER).
Main Results:
- Metastatic vertebrae exhibited higher variability in SDER compared to healthy vertebrae.
- A weak correlation was observed between SDER and Structure Separation in metastatic vertebrae, indicating minimal impact of microstructure on DVC uncertainty.
- Strain measurement uncertainties were spatially associated with regions of reduced greyscale gradient variation in microCT images.
Conclusions:
- Heterogeneous trabecular microstructures in metastatic vertebrae have a weak influence on BoneDVC measurement uncertainties.
- DVC measurement uncertainties should be assessed for each specific application to interpret results accurately.
- The study highlights the robustness of DVC in analyzing complex bone structures, even in the presence of metastases.
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