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Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis
Published on: March 11, 2017
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Predicting pathological fracture in femoral metastases using a clinical CT scan based algorithm: A case-control study
Stein J Janssen1, Nuno Rui Paulino Pereira1, Timion A Meijs1
1Department of Orthopaedic Surgery, Orthopaedic Oncology Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Summary
Lower cortical bone density in femora with metastatic lesions may predict fracture risk. CT imaging can identify these changes, aiding in the prediction of pathological fractures in patients with bone metastases.
Area of Science:
- Radiology
- Orthopedic Oncology
- Medical Imaging
Background:
- Assessing attenuation measurements and geometric distribution of Hounsfield units (HU) in femora with metastatic lesions.
- Comparing femora with pathological fractures to those without fractures or prophylactic fixation.
Purpose of the Study:
- To determine if differences in HU measurements and distribution exist between fractured and non-fractured metastatic femora.
- To evaluate the potential of CT-based metrics for predicting pathological fractures.
Main Methods:
- Matched nine patients with femoral metastases and pathological fractures to controls.
- Delineated femora in CT slices using a region of interest (ROI) tool.
- Calculated cumulative HU percentage and polar moment of HU, analyzing all tissue and cortical bone only (HU ≥ 600).
Main Results:
- No significant difference in HU measurements when analyzing all tissue.
- Pathological fracture group showed lower cumulative HU in cortical bone only for the weakest cross-section (p=0.042) and complete lesion analysis (p=0.032).
Conclusions:
- CT-based algorithms analyzing cortical bone HU can differentiate between fractured and non-fractured metastatic lesions.
- These algorithms show promise for predicting pathological fractures in metastatic bone lesions.
