Prediction of bone strength in growing animals using noninvasive bone mass measurements.
This study aims to test the hypothesis that noninvasive bone mass measurements can be used to predict bone strength in a piglet model. Dual energy X-ray absorptiometry measurements of bone mineral content (BMC), bone mineral density (BMD), and bone area (BA) were obtained from four sets of bones (left and right humeri and femora) of 12 piglets (6-68 days and 2250-17660 g). Bone strength, defined by the energy to bone failure, fracture moment, and flexural rigidity, was determined from three point bending tests using an Instron material testing system. Results show that bone mass between left and right extremities was highly correlated (r = 0.96 to 0.99, P < or 0.001 all comparisons) and was similar for bone strength (r = 0.85 to 0.98, P < 0.01 all comparisons). However, based on the standard deviation of the difference between measurements from left and right extremities, the agreement sides was better for bone mass than for bone strength measurements (r = 0.68-0.99, P < = 0.05-< or = 0.001). The predictive ability of bone mass on bone strength varied (adjusted r2 = 0.41-0.97) depending on the bone tested and the measurement parameter used, although remained statistically significant in all instances (P < 0.05-< or = 0.001). We conclude that the developing organisms, noninvasive bone mass measurements are correlated with and predictive of bone strength, although bones from the same side and same anatomical site should be used for comparison purposes.
Koo
M W
MW
Bioengineering Center, Wayne State University, Detroit, Michigan 48201, USA.
Yang
K H
KH
Begeman
P
P
Hammami
M
M
Koo
W W
WW
D015502:Absorptiometry, Photon; D000818:Animals; D001696:Biomechanical Phenomena; D001699:Biometry; D015519:Bone Density; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D005269:Femur / Q000000981:diagnostic imaging; D006811:Humerus / Q000000981:diagnostic imaging; D023421:Models, Animal; D009929:Organ Size; D011237:Predictive Value of Tests; D012044:Regression Analysis; D013223:Statistics as Topic; D013552:Swine / Q000254:growth & development; D014463:Ultrasonography