Personalized Biomechanical Modeling of Pathologic Fracture: CTFEA Reveals Limitations of Traditional Fracture Risk Assessment in Benign Bone Tumors

Benign bone tumors such as chondroblastoma, giant cell tumors (GCT), and aneurysmal bone cysts (ABC) are rare but clinically significant lesions that frequently occur in the epiphyseal regions of long bones, particularly near load-bearing joints in children and young adults. These tumors compromise the structural integrity of bone, leading to an elevated risk of pathologic fracture. Traditional methods for estimating fracture risk rely on simple geometric thresholds and volumetric ratios, but they fail to account for patient-specific differences in bone geometry, material heterogeneity, and physiological loading conditions. As a result, risk is often misclassified, which may lead to either overtreatment or missed prevention opportunities. To address this limitation, this study presents a preliminary demonstration of computed tomography-based finite element analysis (CTFEA) as a novel alternative method (NAM); computational framework using patient-specific CTFEA to evaluate fracture risk in four patients with benign knee tumors. Clinical computed tomography (CT) imaging and motion capture-informed joint loading were used to develop anatomically accurate, mechanically calibrated models incorporating nonlinear bone behavior. CTFEA simulations focused on walking, jogging, and partial weight-bearing conditions, captured localized stress and strain distributions, and were benchmarked against clinical and volumetric assessment criteria. CTFEA outperformed traditional methods by revealing mechanical vulnerabilities, including in cases classified as low-risk clinically, through its ability to simulate individualized loading scenarios. These findings demonstrate the feasibility and potential of CTFEA as a noninvasive, patient-specific alternative to animal or oversimplified models, with direct implications for preoperative planning and fracture risk stratification in orthopedic surgery.

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Publication Details

Journal
Journal of Biomechanical Engineering
Published
2025-09-23
DOI
https://doi.org/10.1115/1.4069925
Citations
1
Primary Topic
Bone Tumor Diagnosis and Treatments
Type
article
Field-Weighted Citation Impact
1.67
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article

Personalized Biomechanical Modeling of Pathologic Fracture: CTFEA Reveals Limitations of Traditional Fracture Risk Assessment in Benign Bone Tumors

Jereme Outerleys, Heidi‐Lynn Ploeg, Elise Laende, Erin K. Cameron et al.
1 citations
Journal of Biomechanical Engineering
Bone Tumor Diagnosis and Treatments
1.67
article

Personalized Biomechanical Modeling of Pathologic Fracture: CTFEA Reveals Limitations of Traditional Fracture Risk Assessment in Benign Bone Tumors

Jereme Outerleys, Heidi‐Lynn Ploeg, Elise Laende, Erin K. Cameron, Carla Winsor, Daniel Borschneck, John F. Rudan
article en
1 citations

Abstract

Benign bone tumors such as chondroblastoma, giant cell tumors (GCT), and aneurysmal bone cysts (ABC) are rare but clinically significant lesions that frequently occur in the epiphyseal regions of long bones, particularly near load-bearing joints in children and young adults. These tumors compromise the structural integrity of bone, leading to an elevated risk of pathologic fracture. Traditional methods for estimating fracture risk rely on simple geometric thresholds and volumetric ratios, but they fail to account for patient-specific differences in bone geometry, material heterogeneity, and physiological loading conditions. As a result, risk is often misclassified, which may lead to either overtreatment or missed prevention opportunities. To address this limitation, this study presents a preliminary demonstration of computed tomography-based finite element analysis (CTFEA) as a novel alternative method (NAM); computational framework using patient-specific CTFEA to evaluate fracture risk in four patients with benign knee tumors. Clinical computed tomography (CT) imaging and motion capture-informed joint loading were used to develop anatomically accurate, mechanically calibrated models incorporating nonlinear bone behavior. CTFEA simulations focused on walking, jogging, and partial weight-bearing conditions, captured localized stress and strain distributions, and were benchmarked against clinical and volumetric assessment criteria. CTFEA outperformed traditional methods by revealing mechanical vulnerabilities, including in cases classified as low-risk clinically, through its ability to simulate individualized loading scenarios. These findings demonstrate the feasibility and potential of CTFEA as a noninvasive, patient-specific alternative to animal or oversimplified models, with direct implications for preoperative planning and fracture risk stratification in orthopedic surgery.

Journal of Biomechanical EngineeringVol. 148(2)
University of Waterloo (CA), United States Coast Guard Academy (US), Queen's University (CA), Kingston General Hospital (CA), Kingston Health Sciences Centre (CA), Connecticut College (US)
Openalex Percentile: Top 13%
Bone Tumor Diagnosis and Treatments
1.67
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