2014
DOI: 10.1016/j.bone.2014.09.012
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Pediatric reference Raman data for material characteristics of iliac trabecular bone

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Cited by 49 publications
(42 citation statements)
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References 72 publications
(108 reference statements)
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“…None of the included subjects was either immobilized prior to surgery or received medications known to affect bone metabolism. (7,21) Iliac crest biopsy samples were collected at least 5 days after dual labeling taken orally during two 2-day periods separated by a 10-day free interval.…”
Section: Children and Young Adultsmentioning
confidence: 99%
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“…None of the included subjects was either immobilized prior to surgery or received medications known to affect bone metabolism. (7,21) Iliac crest biopsy samples were collected at least 5 days after dual labeling taken orally during two 2-day periods separated by a 10-day free interval.…”
Section: Children and Young Adultsmentioning
confidence: 99%
“…The purpose of the present study was to expand on these previous findings and describe bone composition as a function of subject age at well-defined tissue ages in actively-forming trabecular bone surfaces (evidenced by the presence of fluorescent double labels) in iliac crest biopsy samples from healthy female donors aged 1.5 to 53.6 years, (7,18,19) and women diagnosed with postmenopausal osteoporosis aged 66 to 84 years, (20) by combining the previously published data and complementing them with new data. The study was motivated by two aims: (1) examine the dependence of bone compositional properties at actively-forming trabecular bone surfaces on subject age in a set of biopsy samples from healthy female subjects spanning 1 year of age to immediately following menopause, and establish regression models describing the variation of these bone properties in healthy aging; and (2) examine these parameters in iliac crest biopsy samples from placebo-receiving (calcium and vitamin D) postmenopausal osteoporosis patients to test whether "unique" changes occur in disease compared to healthy aging (based on regression modeling).…”
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confidence: 91%
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