The role of interfragmentary strain on the rate of bone healing-a new interpretation and mathematical model.
It is postulated that there is a causal relationship between mechanical stimulus and the rate of bone healing post fracture. However, despite numerous experimental studies in the literature, no quantifiable relationship has been proposed. It is hypothesized in the present study that the temporal rate of bone fracture healing, measured in terms of callus stiffening per week, can be described mathematically based on the relative motions between bone fragments at the initial stage of the healing process. To test this, a comparative reanalysis of experimental data found in the literature was conducted. These individual data sets described a relationship between an initial intermittently applied peak interfragmentary strain and the change in interfragmentary motion or the increase in callus stiffness over time. The data were converted into a relative increase in stiffness, which normalised the results and reduced inter-study variability. The rates of healing for the various initial strains were compared, and based on this a mathematical phenomenological model was derived. Error analyses were then performed, which showed a high level of congruence between the in-vivo and simulated rates of healing. The results of the comparative analysis revealed that there is a positive correlation between the rate of callus stiffening and interfragmentary strain. Finally, the proposed model has shown for the first time that a quantifiable cause-and-effect relationship exists between the rate of bone healing and mechanical stimulus.
Comiskey
D P
DP
Bahrain Polytechnic, Isa Town, Bahrain; Dublin City University, Glasnevin, Dublin 8, Ireland. damien.comiskey2@mail.dcu.ie
Macdonald
B J
BJ
McCartney
W T
WT
Synnott
K
K
O'Byrne
J
J
D001696:Biomechanical Phenomena; D002146:Bony Callus / Q000502:physiology; D017102:Fracture Healing / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D013314:Stress, Mechanical; D013997:Time Factors