Tj. Beck et al., DUAL-ENERGY X-RAY ABSORPTIOMETRY DERIVED STRUCTURAL GEOMETRY FOR STRESS-FRACTURE PREDICTION IN MALE US-MARINE-CORPS RECRUITS, Journal of bone and mineral research, 11(5), 1996, pp. 645-653
A total of 626 U.S. male Marine Corps recruits underwent anthropometri
c measurements and dual-energy X-ray absorptiometry (DXA) scans of the
femoral midshaft and the distal third of the tibia prior to a 12 week
physical training program, Conventionally obtained frontal plane DXA
scan data were used to measure the bone mineral density (BMD) as well
as to derive the cross-sectional area, moment of inertia, section modu
lus, and bone width in the femur, tibia, and fibula, During training,
23 recruits (3.7%) presented with a total of 27 radiologically confirm
ed stress fractures in various locations in the lower extremity, After
excluding 16 cases of shin splints, periostitis, and other stress rea
ctions that did not meet fracture definition criteria, we compared ant
hropometric and bone structural geometry measurements between fracture
cases and the remaining 587 normals, There was no significant differe
nce in age (p = 0.8), femur length (p = 0.2), pelvic width (p = 0.08),
and knee width at the femoral condyles (p = 0.06), but fracture cases
were shorter (p = 0.01), lighter (p = 0.0006), and smaller in most an
thropometric girth dimensions (p < 0.04), Fracture case bone cross-sec
tional areas (p < 0.001), moments of inertia (p < 0.001), section modu
li (p < 0.001), and widths (p < 0.001) as well as BMD (p < 0.03) were
significantly smaller in the tibia and femur, After correcting for bod
y weight differences, the tibia cross-sectional area (p = 0.03), secti
on modulus (p = 0.05), and width (p = 0.03) remained significantly sma
ller in fracture subjects, We conclude that both small body weight and
small diaphyseal dimensions relative to body weight are factors predi
sposing to the development of stress fractures in this population, The
se results suggest that bone structural geometry measurements derived
from DXA data may provide a simple noninvasive methodology for assessi
ng the risk of stress fracture.