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Official Journal of the American College of Sports Medicine 1077 Board #22 May 30, 9:00 AM - 10:30 AM The Vertebral Curvature Of dancesport and Track and Field athletes Helena Liiv, Katre Maasalu, Jarek Mäestu, Toivo Jürimäe, Jaak Jürimäe. University of Tartu, Tartu, Estonia. (No relationships reported) Dancers have beautiful posture and keeping a straight spine line is typical not only during competitions, but in everyday life also. In dancesport athletes are training for many years to develop the right posture and dance hold. This raises the question: does keeping a nice posture becomes a habit and does the spine changes too? To investigate the influence of the specific training of dancesport to the spinal curvatures we compared dancers´ spinal curvatures with track and field athletes. We decided to compare dancesport with other sports to exclude the influence of sedentary lifestyle. The reason for choosing precisely track and field athletes was that both sports are having continues and various movements. PurPOsE: The aim of the current study was to evaluate lumbar lordosis and thoracal kyphosis of the international level dancesport dancers and to compare it with track and field athletes. METhOds: Participants: Thirty competitive dancesport couples (males 22.8±6.6 yrs and females 22.0±6.4 yrs) and 16 male (age 26.8±4.4 yrs) and 13 female (age 21.5±4.1 yrs) track and field athletes served as subjects for this study. The track and field and dancesport groups were selected to match the age and gender profile. Spinal curvatures: Thoracal kyphosis, lumbar lordosis angle were measured in lateral view VFA scan using a Lunar DPX-IQ densitometer (Lunar Corporation, Madison, WI, USA). rEsuLTs: Male (5.7±4.7°) and female dancers (8.7±5.9°) had significantly smaller (p
<strong>Thursday</strong>, May 30, 2013 S198 Vol. 45 No. 5 Supplement associations between L foot and any DXA parameters. CONCLusIONs: It appears that there are significant relationships between bone health values from QUS and DXA. The association existed only for the R foot, which may be related to R-side dominance. These data suggest that QUS of the R Os Calcis may be sensitive to measuring the same bone health parameters as those elicited by the DXA giving cautious support for using QUS for intervention research. Further study using larger sample sizes and a more diverse population is needed to determine the validity and sensitivity of QUS to changes in bone health parameters over time and to test its application beyond fracture screening. 1082 Board #27 May 30, 9:00 AM - 10:30 AM using Peripheral Quantitative Computed Tomography (pQCT) to Estimate soft Tissue Characteristics in Patients with Knee Osteoarthritis Dana L. Judd, Vanessa D. Sherk, Emily R. Rogers, Wendy M. Kohrt, FACSM, Jennifer E. Stevens-Lapsley. University of Colorado Anschutz Medical Campus, Aurora, CO. (No relationships reported) Patients with knee osteoarthritis (OA) have reduced quadriceps strength in the painful limb. Estimating muscle size and its contribution to strength loss is challenging but important for optimizing rehabilitation. Peripheral Quantitative Computed Tomography (pQCT) measures thigh muscle size but analysis is challenging due to noise in images of large limbs. Filtering decreases signal noise, but strategies vary. The effect on soft tissue quantification in those with poor muscle quality or larger limb size is unclear. PurPOsE: To determine if noise filtering affects the quantification of soft tissue in an OA cohort. METhOds: 28 patients with knee OA were enrolled (age 64.5 ± 8.0 y; BMI 28.6 ± 4.3 kg/m2). pQCT scans were acquired at 33% of the femur length proximal to the lateral epicondyle. Scans were analyzed with 4 median filter methods (No filter, weak filter (F03F05), medium filter (F03F05F05), strong filter (F01F06U01)). Total area (TA), muscle area and density (MA, MD), and fat area and density (FA, FD) were measured. Repeated measures ANOVA with post hoc paired t-tests were performed. rEsuLTs: TA, MA, FA, FD and MD values were filter dependent. Each filtering method was significantly different from each other (Table 1; p
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