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1 nce-based algorithm (atherosclerosis imaging-quantitative computed tomography).
2 l dimensions were determined with peripheral quantitative computed tomography.
3 sessed at the tibia and radius by peripheral quantitative computed tomography.
4 ured by dual energy x-ray absorptiometry and quantitative computed tomography.
5 ssed by dual-energy x-ray absorptiometry and quantitative computed tomography.
6 asured at base line and month 30 by means of quantitative computed tomography.
7 density of the lumbar spine was measured by quantitative computed tomography.
9 using time-lapsed high-resolution peripheral quantitative computed tomography and biochemical markers
11 ing (for example, high-resolution peripheral quantitative computed tomography and ultra-high field MR
12 ia, assessed with high resolution peripheral quantitative computed tomography, and bone strength (fai
13 re measured using high-resolution peripheral quantitative computed tomography, and spine and hip BMD
14 density (BMD) at the same site at peripheral quantitative computed tomography, as well as with BMD of
15 bar spine and femoral neck and by peripheral quantitative computed tomography at the ultradistal radi
16 rostructure using high-resolution peripheral quantitative computed tomography, at baseline (n = 853)
17 rmed an imaging-based cluster analysis using quantitative computed tomography-based structural and fu
18 gender, lung function, exercise capacity and quantitative computed tomography between eosinophilic ve
19 bone mineral density (BMD), using peripheral quantitative computed tomography, by bone histomorphomet
23 reatment effects, high-resolution peripheral quantitative computed tomography (CT) currently plays a
24 ate whether assessment of bone strength with quantitative computed tomography (CT) in combination wit
25 limited knowledge of the prognostic value of quantitative computed tomography (CT) measures of emphys
26 ((129)Xe) magnetic resonance (MR) imaging to quantitative computed tomography (CT) metrics on a lobar
27 n individual lungs were measured by means of quantitative computed tomography (CT) studies in 28 pati
33 dual-energy x-ray absorptiometry [DXA], and quantitative computed tomography [CT]) and that of a num
34 rkers and vertebral volumetric BMD (vBMD) by quantitative computed tomography, estimated vertebral st
35 tructure of the bone was shown by peripheral quantitative computed tomography, high-resolution microc
36 roarchitecture by high-resolution peripheral quantitative computed tomography (HR-pQCT) at the radius
38 rptiometry (DXA), high-resolution peripheral quantitative computed tomography (HR-pQCT), and bone bio
41 rptiometry (DXA), high-resolution peripheral quantitative computed tomography (HRpQCT), parathyroid h
43 nt modulus) using high-resolution peripheral quantitative computed tomography imaging of the distal r
44 TFS) in a diverse ILD cohort and establish a quantitative computed tomography measure of progressive
48 umetric BMD (vBMD) as measured by peripheral quantitative computed tomography of the tibia at baselin
49 ong-term survivors of ALL were determined by quantitative computed tomography of the trabecular lumba
51 try, density, and strength, using peripheral quantitative computed tomography (pQCT), compared with g
54 ty (BMD) in patients with scoliosis by using quantitative computed tomography (QCT) and compare the B
55 relations with clinical parameters including quantitative computed tomography (qCT) and determined pa
59 d subregions), and forearm (and subregions), quantitative computed tomography (QCT) of the spine and
61 nergy x-ray absorptiometry (DXA), and BMD by quantitative computed tomography (QCT) were assessed in
62 real and volumetric BMD, measured by DXA and quantitative computed tomography (QCT), respectively.
63 f dual-energy x-ray absorptiometry (DXA) and quantitative computed tomography (QCT), which are now th
65 ty (BMD) measurements of the lumbar spine by quantitative computed tomography (QCT); BMD measurements
73 (WIHS) underwent whole body DXA and central quantitative computed tomography to measure areal BMD (a
74 erformed aBMD and high-resolution peripheral quantitative computed tomography volumetric bone mineral
75 nd age, whereas BMD of the spine measured by quantitative computed tomography was an inverse predicto
76 was to assess, through the use of peripheral quantitative computed tomography, whether adherence to a