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To measure treatment response accurately in bone, quantitative methods are needed.
Bone quantitative ultrasound (QUS) analyzes the interaction between the sound signal and the tissues, providing information on bone mechanical properties.
Bone quantitative ultrasonography (QUS) measures other parameters of the bone (i.e., elasticity and stiffness) that appear to be related to mechanical strength [51].
Since we found no differences in bone quantitative measurements, muscle strength and clinically relevant differences in total ROM we think that ITW and decreased ROM of the ankle joints are rather a local stiffness than a local manifestation of a systemic problem.
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While dual-energy X-ray absorptiometry is typically the most common method used and is considered the gold standard for measuring bone density, quantitative computed tomography and quantitative ultrasound can provide other useful information.
In this paper, a finite element model of proximal femur was developed to simulate the structures of internal trabecular and cortical bones by incorporating quantitative bone functional adaptation theory with finite element analysis.
As a means to evaluate bone status, quantitative ultrasound (QUS) devices have both advantages and limitations.
As opposed to the mentioned above diagnostic techniques which provide two-dimensional analysis of bone samples, quantitative computed tomography enabling three-dimensional morphological and densitometric analysis of bones was used in this study [ 21].
An experimental study [ 6] quantified the areas of enamel, dentin, and pulp using image analysis morphometry, in parallel with the analysis of the mineralization levels of enamel, dentine, and alveolar bone using quantitative microradiography and a microphotometric-microdensitometric technique.
To confirm the observed pattern of co-localization between TRAP/RANKL and TRAP/OPG in osteocytes within the bone tissue, quantitative co-localization analyses were performed on the osteocytes that demonstrated visual co-localization.
Expression levels for 12 genes representative of musculoskeletal tissues, including the proposed tendon progenitor marker scleraxis, relative to validated reference genes, were evaluated in matched samples of equine tendon (harvested from the superficial digital flexor tendon), cartilage and bone using quantitative PCR (qPCR).
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