Literature DB >> 1763672

Methods of determining bone mass.

S M Ott1.   

Abstract

Bone disease is one of the most important clinical manifestations of primary hyperparathyroidism. Recent studies have shown that the loss of bone in "modern" hyperparathyroidism is not homogeneous throughout the skeleton. Whereas measurements of the spine and the trabecular portion of iliac crest are normal or even slightly increased, the wrist and the cortical bone of the iliac crest are significantly lower than expected. Thus, knowledge of the percentage of trabecular bone at each measurement site is important. These include distal radius, 80%; midradius, 5%; vertebrae, 19-25%; vertebral body, 33-42%; and femoral neck, 43%. Knowledge of the precision and its relationship to ranges and rates of change of bone mass are essential. For an individual, the bone mass should change by 2.8 times the precision before one can determine with 90% confidence that the change was real, not due to measurement error. Noninvasive methods of measuring bone mass that are commercially available include single- and dual-photon absorptiometry, quantitative computed tomography, and dual-energy x-ray absorptiometry. The precision of these techniques varies, with the best values reported using dual-energy x-ray absorptiometry. Research should be done to describe more completely the patterns of bone loss in this disease, including longitudinal studies on rates of loss at different skeletal sites. Studies that relate the bone mass at a particular site to fractures must be done in populations with hyperparathyroidism to see if the risk of fracture is similar to the risk in normal or osteoporotic individuals.

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Year:  1991        PMID: 1763672     DOI: 10.1002/jbmr.5650061416

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  8 in total

1.  Spinal bone mineral assessment in postmenopausal women: a comparison between dual X-ray absorptiometry and quantitative computed tomography.

Authors:  W Yu; C C Glüer; S Grampp; M Jergas; T Fuerst; C Y Wu; Y Lu; B Fan; H K Genant
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

2.  Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks.

Authors:  Yijie Fang; Wei Li; Xiaojun Chen; Keming Chen; Han Kang; Pengxin Yu; Rongguo Zhang; Jianwei Liao; Guobin Hong; Shaolin Li
Journal:  Eur Radiol       Date:  2020-10-01       Impact factor: 5.315

Review 3.  Progressive high-intensity resistance training and bone mineral density changes among premenopausal women: evidence of discordant site-specific skeletal effects.

Authors:  Marrissa Martyn-St James; Sean Carroll
Journal:  Sports Med       Date:  2006       Impact factor: 11.136

4.  Evaluation of bone loss and the serum markers of bone metabolism in patients with hyperparathyroidism.

Authors:  M Katagiri; T Ohtawa; M Fukunaga; T Harada
Journal:  Surg Today       Date:  1995       Impact factor: 2.549

5.  Associations between fat distribution and volumetric bone mineral density in Chinese adults.

Authors:  Wei Zhang; Xiaohui Ma; Peng Xue; Yu Gao; Xuelun Wu; Jian Zhao; Yan Wang; Shiling Li
Journal:  Endocrine       Date:  2014-04-05       Impact factor: 3.633

6.  Dual-energy X-ray absorptiometry of the spine in anteroposterior and lateral projections.

Authors:  F Duboeuf; R Pommet; P J Meunier; P D Delmas
Journal:  Osteoporos Int       Date:  1994-03       Impact factor: 4.507

7.  Comparison of the Spine and Hip BMD Assessments Derived from Quantitative Computed Tomography.

Authors:  Xiao-Hui Ma; Wei Zhang; Yan Wang; Peng Xue; Yu-Kun Li
Journal:  Int J Endocrinol       Date:  2015-07-27       Impact factor: 3.257

8.  A comparative study of bone biopsies from the iliac crest, the tibial bone, and the lumbar spine.

Authors:  Ruth G G Hiller; Margret Patecki; Claudia Neunaber; Janin Reifenrath; Jan T Kielstein; Heike Kielstein
Journal:  BMC Nephrol       Date:  2017-04-13       Impact factor: 2.388

  8 in total

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