Volumetric bone mineral density in normal subjects, aged 5-27 years

Lu, P W

doi:10.1210/jc.81.4.1586

Cited by 137 publications

(92 citation statements)

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“…Volume increases more rapidly than surface during growth and the areal BMD measured by DXA increases even without change in the true BMD. The results of volumetric BMD measured using current DXA technology, which are similar to those using QCT, seem to corroborate this hypothesis [25]. Our results seem to be consistent with the results obtained from different techniques of BMD measurement.…”

Section: Discussionsupporting

confidence: 89%

Carpal Bone Maturation Assessment by Image Analysis from Computed Tomography Scans

Canovas

Banegas²,

Cyteval³

et al. 2000

Horm Res Paediatr

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Bone maturation is the only reliable indicator of growth and its radiologic assessment with or without automated systems is a qualitative method. Image processing allows the study of bone maturation with quantitative data. Carpal bone maturation was studied in 20 children (13 boys and 7 girls, ages ranging from 4 to 15 years) without any clinical evidence of endocrine disease by image analysis from computed tomography (CT) scans. Each wrist CT scan was processed in order to extract the carpal bones and to measure quantitative data regarding volume, axes of inertia and density for each bone. The volumes and the length of the inertia axes were significantly correlated with age. Whatever the age, there were strong correlations between the volume or the length of the main inertia axis of one carpal bone and that of all others. The decrease in the carpal bone volume measured from the processing procedure compared with the theoretical volume of bone defined from the length of the three inertia axes indicated a change in bone shape during growth. Although the mean density was constant, there was an increase in the standard deviation of density with age. Skeletal maturity assessment with image analysis from CT scans seems to be a good complementary investigation to determine bone age in children.

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Section: Discussionsupporting

confidence: 89%

Carpal Bone Maturation Assessment by Image Analysis from Computed Tomography Scans

Canovas

Banegas²,

Cyteval³

et al. 2000

Horm Res Paediatr

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show abstract

“…Indeed, because of technological limitations, DXA calculates a two-dimensional bone projected area, and the output is expressed as an areal density (BMDarea). In order to correct the values of lumbar or femoral BMD for the ‘apparent’ bone sizes, some mathematical models have been proposed that assume the ROI of the vertebral body to have the shape of a cube [24, 25]or a cylinder with a circular [26, 27, 28]or elliptic base area [29], and the ROI of the femoral neck or midshaft to have the shape of a cylinder [2, 27]. Then, vBMD is calculated on the basis of the estimated bone volume instead of bone surface area.…”

Section: Bone Analysismentioning

confidence: 99%

From Bone Biology to Bone Analysis

et al. 2004

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Bone development is one of the key processes characterizing childhood and adolescence. Understanding this process is not only important for physicians treating pediatric bone disorders, but also for clinicians and researchers dealing with postmenopausal and senile osteoporosis. Bone densitometry has great potential to enhance our understanding of bone development. The usefulness of densitometry in children and adolescents would be increased if the physiological mechanisms and structural features of bone were given more consideration in the design and interpretation of densitometric studies. This review gives an overview on the most relevant techniques of quantitative noninvasive bone analysis. Furthermore it describes the relationship between bone biology, selected surrogates describing the biological processes and the possibilities of measuring these surrogates specifically and precisely by the different devices. The overall recommendation for researchers in this field is to describe firstly the biological process to be analyzed (bone growth in length, remodeling or modeling, or all together), secondly the bone parameter which describes this process, and thirdly the reason for selecting a special device.

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“…1) [18,19,20,21,22]. The strongest predictors of bone mass development are height and muscle mass (fig.…”

Section: What Are the Predictors Of Bone Development?mentioning

confidence: 99%

Factors Predisposing to Osteoporosis in Childhood: New Concepts in Diagnostics

Schöenau¹,

Fricke²

2007

Horm Res Paediatr

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Background: Bone densitometric data are often difficult to interpret in children and adolescents because of large inter- and intraindividual variations in bone size. We propose a functional approach to bone densitometry that addresses two questions: is bone strength normally adapted to the largest physiological loads represented by muscle force, and is muscle force adequate for body size? Methods and Results: The theoretical background for this approach is provided by the mechanostat theory, which proposes that bones adapt their strength to keep the strain caused by physiological loads close to a set point. Because the largest physiological loads are caused by muscle contractions, there should be a close relationship between bone strength and muscle force or size. The proposed two-step diagnostic algorithm requires a measure of muscle force or size and a measure of bone mineral content at a corresponding location. Conclusion: This approach justifies the hope that more detailed insights into this matter could help devise targeted strategies for the prevention and treatment of pediatric bone diseases.

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Volumetric bone mineral density in normal subjects, aged 5-27 years

Cited by 137 publications

References 0 publications

Carpal Bone Maturation Assessment by Image Analysis from Computed Tomography Scans

Carpal Bone Maturation Assessment by Image Analysis from Computed Tomography Scans

From Bone Biology to Bone Analysis

Factors Predisposing to Osteoporosis in Childhood: New Concepts in Diagnostics

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