TY - JOUR
T1 - Application of structural rigidity analysis to assess fidelity of healed fractures in rat femurs with critical defects
AU - Nazarian, Ara
AU - Pezzella, Lina
AU - Tseng, Alan
AU - Baldassarri, Stephen
AU - Zurakowski, David
AU - Evans, Christopher H.
AU - Snyder, Brian D.
N1 - Funding Information:
The authors acknowledge the National Institutes of Health (R01 award AR050243, to C. H. E.) for funding a portion of this study. Additionally, the authors acknowledge the insightful comments made by the reviewer.
PY - 2010/5
Y1 - 2010/5
N2 - Approximately 6 million fractures occur each year in the United States, with an estimated medical and loss of productivity cost of $99 billion. As our population ages, it can only be expected that these numbers will continue to rise. While there have been recent advances in available treatments for fractures, assessment of the healing process remains a subjective process. This study aims to demonstrate the use of micro-computed tomography (μCT)based structural rigidity analysis to accurately and quantitatively assess the progression of fracture healing over time in a rat model. The femora of rats with simulated lytic defects were injected with human BMP-2 cDNA at various time points postinjury (t = 0, 1, 5, 10 days) to accelerate fracture healing, harvested 56 days from time of injury, and subjected to μCT imaging to obtain cross-sectional data that were used to compute torsional rigidity. The specimens then underwent torsional testing to failure using a previously described pure torsional testing system. Strong correlations were found between measured torsional rigidity and computed torsional rigidity as calculated from both average (R2 = 0.63) and minimum (R2 = 0.81) structural rigidity data. While both methods were well correlated across the entire data range, minimum torsional rigidity was a better descriptor of bone strength, as seen by a higher Pearson coefficient and smaller y-intercept. These findings suggest considerable promise in the use of structural rigidity analysis of μCT data to accurately and quantitatively measure fracture-healing progression.
AB - Approximately 6 million fractures occur each year in the United States, with an estimated medical and loss of productivity cost of $99 billion. As our population ages, it can only be expected that these numbers will continue to rise. While there have been recent advances in available treatments for fractures, assessment of the healing process remains a subjective process. This study aims to demonstrate the use of micro-computed tomography (μCT)based structural rigidity analysis to accurately and quantitatively assess the progression of fracture healing over time in a rat model. The femora of rats with simulated lytic defects were injected with human BMP-2 cDNA at various time points postinjury (t = 0, 1, 5, 10 days) to accelerate fracture healing, harvested 56 days from time of injury, and subjected to μCT imaging to obtain cross-sectional data that were used to compute torsional rigidity. The specimens then underwent torsional testing to failure using a previously described pure torsional testing system. Strong correlations were found between measured torsional rigidity and computed torsional rigidity as calculated from both average (R2 = 0.63) and minimum (R2 = 0.81) structural rigidity data. While both methods were well correlated across the entire data range, minimum torsional rigidity was a better descriptor of bone strength, as seen by a higher Pearson coefficient and smaller y-intercept. These findings suggest considerable promise in the use of structural rigidity analysis of μCT data to accurately and quantitatively measure fracture-healing progression.
KW - Fracture healing
KW - Healing strength
KW - Rat model
KW - Segmental defect
KW - Structural rigidity analysis
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U2 - 10.1007/s00223-010-9353-4
DO - 10.1007/s00223-010-9353-4
M3 - Article
C2 - 20354683
AN - SCOPUS:77953356901
SN - 0171-967X
VL - 86
SP - 397
EP - 403
JO - Calcified Tissue International
JF - Calcified Tissue International
IS - 5
ER -