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1 DXA and oral examinations were performed by calibrated e
2 DXA data were available for 129, 121 and 107 patients at
3 DXA devices can be used to accurately and precisely esti
4 DXA has not been fully validated for use in South Asians
5 DXA is an appropriate method for estimating body composi
6 DXA may estimate a higher prevalence of peripheral lipoa
7 DXA measures of abdominal fat are suitable for use in In
8 DXA modeling showed no significant differences in predic
9 DXA precision (SD) was 0.5% without and 1.1% with breast
10 DXA scans were performed before and 2 months after trans
11 DXA should be performed in men aged >/=50 years, postmen
12 DXA thus provides an important opportunity for quantifyi
13 DXA was performed at the 4 study sites in only 12%, 12%,
14 DXA was the most sensitive method for assessing small ch
15 DXA was used to determine BMD of the radius, lumbar spin
16 DXA, BIA, SFTs, and BMI are comparably accurate for eval
17 DXA-volume and ADP-volume measures were highly correlate
18 ear interval, was 7.5%; no screening, 11.1%; DXA screening, 9%; for wrist fractures, 14%, 17.8%, and
21 hod to measure total body protein by using a DXA system and BIA unit was developed and compared with
23 included Dual-emission X-ray absorbtiometry (DXA)-measured percent changes in spine and hip BMD at we
28 easured by dual-energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI), but no such s
29 lopment of dual-energy x-ray absorptiometry (DXA) and quantitative computed tomography (QCT), which a
30 density (BMD) by Dual X-Ray Absorptiometry (DXA) and repeated after 12 weeks of regulated physical t
32 erence and Dual-energy X-ray absorptiometry (DXA) assessed fat mass), and logistic regression was use
34 ssessed by dual energy x-ray absorptiometry (DXA) at the neck, trochanter, intertrochanter, Ward's tr
35 se of only dual-energy X-ray absorptiometry (DXA) attenuation values for use in Lohman's 4C body comp
36 age 15 yr dual-energy x-ray absorptiometry (DXA) bone outcomes (whole body, lumbar spine, and hip),
40 maging and dual-energy X-ray absorptiometry (DXA) estimates of evaluated components in adults (total
41 tential of dual-energy X-ray absorptiometry (DXA) for measuring total-body SM in pediatric subjects.
42 rs apart) and hip dual x-ray absorptiometry (DXA) had been performed (2 years after baseline) were in
43 past 10 y, dual-energy X-ray absorptiometry (DXA) has become one of the most widely used methods of m
44 alysis and dual-energy x-ray absorptiometry (DXA) in 136 women (age range, 43-92 years), each of whom
46 cal use of dual-energy X-ray absorptiometry (DXA) in the diagnosis and treatment of osteoporosis and,
47 cturers of dual-energy X-ray absorptiometry (DXA) instruments are currently inadequate for total body
48 Although dual-energy X-ray absorptiometry (DXA) is considered the most accurate measure of adiposit
49 ation with dual-energy x-ray absorptiometry (DXA) is cost-effective as a screening tool for osteoporo
50 y (BMD) by dual-energy x-ray absorptiometry (DXA) is the primary way to identify asymptomatic men who
54 Recently, dual-energy X-ray absorptiometry (DXA) modeling of organ-tissue mass combined with specifi
56 e was analyzed by dual x-ray absorptiometry (DXA) scanning, and the trabecular and cortical bone volu
58 h multiple dual-energy X-ray absorptiometry (DXA) scans to measure changes in body energy stores.
61 dvances in dual-energy X-ray absorptiometry (DXA) software algorithms have improved the accuracy of t
66 timated by dual-energy X-ray absorptiometry (DXA) with total-body SM quantified by multislice magneti
67 tor CT and dual-energy x-ray absorptiometry (DXA) within 6 months of each other between 2000 and 2007
68 easured by dual-energy X-ray absorptiometry (DXA), abdominal computed tomography, and standard anthro
69 f birth by dual-energy x-ray absorptiometry (DXA), analysed in all randomly assigned neonates who had
70 y (BMD) by dual-energy x-ray absorptiometry (DXA), and BMD by quantitative computed tomography (QCT)
71 (BIA), and dual-energy X-ray absorptiometry (DXA), and compared with the reference measure of percent
72 as measured using dual x-ray absorptiometry (DXA), and to assess their relationship to disease-relate
73 s demonstrated by dual x-ray absorptiometry (DXA), and were receiving long-term glucocorticoids and h
74 years with dual-energy x-ray absorptiometry (DXA), anthropometric, demographic, and prescription medi
75 osition by dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis, and skinfold-thi
76 ipants had dual-energy x-ray absorptiometry (DXA), entered a clinical BMD registry, and were followed
77 eling with dual energy x-ray absorptiometry (DXA), high-resolution peripheral quantitative computed t
78 ), without dual-energy X-ray absorptiometry (DXA), in all HIV-infected men aged 40-49 years and HIV-i
79 hing (HW), dual-energy X-ray absorptiometry (DXA), measurement of total body water (TBW) by isotope d
80 lity using dual-energy X-ray absorptiometry (DXA), micro-computed tomography, Raman spectroscopy, and
81 (%BF) from dual-energy X-ray absorptiometry (DXA), skinfold thicknesses (SFTs), bioelectrical impedan
82 easured by dual-energy x-ray absorptiometry (DXA), to increased serum alanine aminotransferase (ALT)
84 ith use of dual-energy X-ray absorptiometry (DXA), underwater weighing (densitometry), isotope diluti
85 f obesity, dual-energy X-ray absorptiometry (DXA)-derived visceral-fat-volume measurements, in a subs
97 ody fat by dual energy x-ray absorptiometry (DXA); (4) liver and muscle insulin sensitivity (insulin
99 sured with dual-energy X-ray absorptiometry (DXA)] and energy expenditure [measured with doubly label
100 s (BMI and dual-energy X-ray absorptiometry [DXA] determined fat mass index [FMI]) in a MR approach.
101 one densitometry (dual x-ray absorptiometry [DXA]) records were reviewed in hip fracture patients at
102 Bone densities (dual x-ray absorptiometry [DXA]) were normal, low, or osteoporotic in 24%, 55%, and
103 diography, dual-energy x-ray absorptiometry [DXA], and quantitative computed tomography [CT]) and tha
104 s (central dual-energy x-ray absorptiometry [DXA], calcaneal quantitative ultrasonography [QUS], and
113 ted for correlations with anthropometric and DXA measurements with Spearman rho and Pearson correlati
114 correlation between dual-energy CT-based and DXA-based BMD values, with a mean difference of 0.7441 a
115 0.0001), but differences between the BIS and DXA+TBK models for individuals were significant (P < 0.0
116 ced the mean differences between the BIS and DXA+TBK models; the SDs of the mean differences were imp
118 , each of whom underwent CT colonography and DXA within a 6-month period (between January 2008 and Ap
119 from clinically indicated dual-energy CT and DXA examinations within 2 months, comprising the lumbar
121 load; however, combining quantitative CT and DXA yielded a performance as good as that attained with
122 iography and DXA and (b) quantitative CT and DXA, correlations with mechanical failure load increased
127 with ADP-volume percentage fat measures and DXA software-reported percentage fat measures (R(2) = 0.
128 adults and children, whereas the BOD POD and DXA agree within 1% BF for adults and 2% BF for children
129 hanges in BMD of the lumbar spine by QCT and DXA in the PTH group were 35+/-5.5% and 11+/-1.4%, respe
131 P < .001), respectively, for radiography and DXA and to 0.80 (P < .001) and 0.86 (P < .001) , respect
134 gths, angles, and cortical thicknesses), (b) DXA (reference standard) to determine areal bone mineral
136 to determine the bias and agreement between DXA and a 4-compartment model in predicting the percenta
137 proportional bias in the association between DXA and MRI (correlation between difference and mean -0.
138 Intra-class correlation coefficients between DXA and MRI measures of abdominal fat were high (0.98 fo
140 d from 0.77 to 0.80 for correlations between DXA BMD and FL and from 0.73 to 0.82 for correlations be
141 level of the individual, differences between DXA and MRI could be large (95% of DXA measures were bet
145 lution, bone mineral and %BF from whole-body DXA, resistance from BIA, and anthropometric measures we
147 ased estimates of decreases in %BFd,w,m, but DXA overestimated decreases in %BF in the DO and DE grou
149 mass increased significantly as assessed by DXA (0.7 +/- 1.0 kg) but changes assessed by MC and UWW
150 of bias) for estimates of changes in %BF by DXA, BIA, SFTs, and BMI were similar (range: +/-2.0-2.4%
152 tage body fat, 2.5 +/- 3.5%), but changes by DXA were not significant (fat-free mass, 0.2 +/- 1.2 kg;
153 able to identify osteoporosis (as defined by DXA), with 100% sensitivity in eight of eight patients (
154 line, 12-month areal bone mineral density by DXA did not change significantly at the spine and hip, b
155 parability of FFM and fat mass determined by DXA and BIA was dependent on the specific BIA equation u
159 dicular lean soft tissue (ALST) estimates by DXA as the main predictor variable (eg, model 1, ALST al
161 ) of the lumbar spine and proximal femur (by DXA), liver function, and bone markers were measured at
162 ighly correlated with fat-free mass (FFM) by DXA (R = 0.641, P < 0.001), but not with weight or disea
163 erage bias, an individual estimate of %FM by DXA could be underestimated or overestimated by 6.7% whe
164 erence was observed in trunk fat measured by DXA and MRI, but the difference was still statistically
167 cts, greater amounts of fat were measured by DXA than by MRI when control subjects were compared with
168 e lumbar spine and total hip, as measured by DXA, were significantly associated with prevalent verteb
171 classifications for clinical osteoporosis by DXA (T score </=-2.5 at the hip or spine), with 82.8% se
172 rence and mean -0.3), with overestimation by DXA greater in individuals with less abdominal fat (mean
176 he effect of several genes common to central DXA-derived BMD and heel ultrasound/DXA measures and poi
178 to calculate TBV with the use of a clinical DXA system was developed, compared against ADP as proof
179 he most cost-effective strategy was combined DXA and quantitative CT screening starting at age 55 wit
181 er operating characteristic curves comparing DXA-scan prediction based on a 10% subset of the cohort
182 s from lowest to highest were 4-compartment, DXA, TBW(VRJ), 3-compartment, Db(VRJ), BIA, air displace
188 n square deviation between the model and DLW/DXA method was 215 kcal/d, and most of the model-calcula
189 es of DeltaEI that are comparable to the DLW/DXA method can be obtained by using a mathematical model
192 d the DeltaEI values calculated by using DLW/DXA with those obtained by using a mathematical model of
195 gh-spatial-resolution BMD data from existing DXA datasets without the limitations imposed by region o
200 sought to reverse reimbursement declines for DXA services, whereas updated guidelines have attempted
201 ss-generational equations were developed for DXA, eg, child's %BF = 12.4 + (0.158 paternal %BF) + (0.
202 ype of hospital regarding Hologic device for DXA scans, previous aromatase inhibitor use, and baselin
203 nding percentages of vertebral fractures for DXA and quantitative CT with a 5-year interval, was 7.5%
204 mated limb fat was substantially greater for DXA than for MRI for HIV+ and control men and women (all
206 re used to develop a region of interest-free DXA analysis method with increased spatial resolution fo
207 (R(2) = 0.84) with DXA, did not differ from DXA (P = .15, paired t test), and was able to identify o
209 tal-body SM can be accurately predicted from DXA-estimated ALST, thus affording a practical means of
210 and percentage body fat, respectively, from DXA were 2.5 kg and 2.7%; for MC, 5.5 kg and 7.1%; and f
213 hip, and hip geometry was extracted from hip DXA scans using the hip structural analysis method.
217 Oral bisphosphonate therapy was started if DXA hip T scores were less than or equal to -2.5, 10-yea
219 regression model for predicting FL included DXA BMD and regional quantitative CT BMD measurements.
221 tal n=411; organs=76) and the other a larger DXA database (n=1346) that included related estimates of
222 .4 times MRI measures), at the sample level, DXA only slightly overestimated MRI measures of abdomina
223 dolescents reporting stimulant use had lower DXA measurements of the lumbar spine and femur compared
226 the lumbar spine as measured by QCT, but not DXA, is an independent predictor of vertebral fractures.
227 missions of updated guidelines for obtaining DXA testing may serve again to restrict initial access,
228 s between DXA and MRI could be large (95% of DXA measures were between 0.8 and 1.4 times MRI measures
233 rescreening intervals, and a combination of DXA and quantitative CT with different intervals (3, 5,
235 health systems to determine the frequency of DXA use, calcium and vitamin D supplementation, and anti
236 average risk), the post-test probability of DXA-determined osteoporosis was 34% (CI, 26% to 41%) aft
237 such as BMI and WC is comparable to that of DXA measurements of fat mass and fat mass percent, as ev
238 Serum specimens obtained at the time of DXA were analyzed for concentrations of RANKL and OPG, u
242 Our objective was to compare the utility of DXA, underwater weighing (UWW), and a multicomponent mod
243 udies have compared the relative validity of DXA measures with anthropometric measures such as body m
246 antitative CT pixel distribution parameters, DXA BMD, and FL were correlated at multiple regression a
249 r) was highly correlated (r = 0.90) with PBF(DXA), but it markedly overestimated levels of PBF(DXA) i
250 POD - HW and -3.0% to 1.7% BF for BOD POD - DXA, are likely due in part to differences in laboratory
252 to compare the accuracy of the Lunar Prodigy DXA for body-composition analysis with that of the refer
253 one mineral density (BMD) assessed by X-ray (DXA), may be convenient alternatives for evaluating oste
254 access, and the recent controversy of repeat DXA testing may make monitoring results of therapy more
256 n of the method was examined by using repeat DXA acquisitions in 29 patients, and its ability to allo
257 re, 62 (52.1%) had nonosteoporotic T-scores (DXA false-negative results), and most (97%) had L1 or me
258 hree strategies were compared: no screening, DXA with T score-dependent rescreening intervals, and a
260 ts were recruited to have 4C measures taken: DXA, air-displacement plethysmography (ADP), and total b
262 state of the subjects, which indicates that DXA is unreliable for patient case-control studies and f
264 basis, BIS can be calibrated to replace the DXA+TBK model for the assessment of TBW, ECW, and ICW in
269 central DXA-derived BMD and heel ultrasound/DXA measures and points to a new genetic locus with pote
272 es in the cholecalciferol group had a usable DXA scan and were analysed for the primary endpoint.
276 iation of screening at age 55 years by using DXA with a T-score threshold of -2.0 or less for treatme
277 ercentage of body fat were measured by using DXA, and waist circumference (WC) and BMI were assessed.
280 tio (ICER) of less than $50,000 per QALY was DXA screening with a T-score threshold of -2.5 or less f
283 sis was highly correlated (R(2) = 0.84) with DXA, did not differ from DXA (P = .15, paired t test), a
285 s between 2-compartment models compared with DXA and 4 -compartment models are partly attributable to
287 found for ADP (Siri equation) compared with DXA for all subjects examined together, and agreement be
291 ales in the present study were compared with DXA-derived body-composition data for reference populati
294 3%; 95% CI: 17%, 29%) highly correlated with DXA abdominal fat measurements (mean, 26%; 95% CI: 21%,
300 ne with all women with a baseline and 3 year DXA assessment) was the effect of risedronate versus pla
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