PubMed Health⌕ Search

PubMed · 10228530

Computerized bone densitometric analysis: operator-dependent errors.

Abstract

PURPOSE: To determine the nature and relative frequency of operator-dependent data analysis errors in dual x-ray absorptiometry. MATERIALS AND METHODS: Over 40 months, 2,528 dual x-ray absorptiometric examinations of the forearm, femoral neck, and lumbar spine were performed by 11 technologists by using standard techniques and software. Each analysis was reviewed by a radiologist; errors were recorded and corrected. RESULTS: There were no forearm analysis errors. There were 24 (0.9%) femoral neck analysis errors, of which 23 resulted from misplacement of the analysis region. There were 33 (1.3%) spinal analysis errors, of which 24 resulted from misplacement of intervertebral disk space markers. Analysis errors of the femur and spine resulted in six misdiagnoses (0.2%). CONCLUSION: Misdiagnosis due to analysis errors is rare. Femoral neck analysis errors were easily detectable, but accurate spinal analyses depended on accurate identification of vertebral end plates and posterior elements. Nonetheless, these potentially serious errors can be detected and corrected if the analyses are reviewed and interpreted by a supervising physician who is familiar with the relevant anatomy, proper analysis techniques, and factors--such as artifacts--that adversely affect the accuracy of the analysis.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R B Staron, R Greenspan, T T Miller, J P Bilezikian, E Shane, N Haramati. 1999. Computerized bone densitometric analysis: operator-dependent errors.. https://doi.org/10.1148/radiology.211.2.r99ma55467

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

In vitro and in vivo evidence for orphan nuclear receptor RORalpha function in bone metabolism.

Bone is a major target site for steroid hormone action. Steroid hormones like cortisol, vitamin D, and estradiol are responsible for principal events associated with bone formation and resorption. Over the past decade, new members of the nuclear hormone gene family have been identified that lack known ligands. These orphan receptors can be used to uncover signaling molecules that regulate yet unidentified physiological networks. In the present study the function of retinoic acid receptor-related orphan receptor (ROR) alpha in bone metabolism has been examined. We showed that RORalpha and RORgamma, but not RORbeta, are expressed in mesenchymal stem cells derived from bone marrow. Interestingly, for RORalpha we observed an increased messenger signal expression between control cells and cells undergoing osteogenic differentiation. Furthermore, the direct activation of mouse bone sialoprotein by RORalpha, typically 7-fold, has been shown. In contrast, transient overexpression of RORalpha overrides the activation of the osteocalcin promoter by 1alpha,25-dihydroxyvitamin D(3). In addition, we have investigated bone mass parameters and bone geometry in the mouse mutant staggerer (sg/sg), a mouse strain that carries a deletion within the RORalpha gene. Homozygote mutants have thin long bones compared with the heterozygote animals and wild-type littermates. More interestingly, the bones of the sg/sg animals are osteopenic as indicated by the comparison of bone mineral contents of sg/sg animals to the heterozygote and wild-type animals. We conclude that these in vitro and in vivo results suggest a function for RORalpha in bone biology. RORalpha most likely acts by direct modulation of a bone matrix component.

Absorptiometry, Photon↗

Association between breast cancer and bone mineral density: the Dubbo Osteoporosis Epidemiology Study.

BACKGROUND: The association between bone mineral density and breast cancer was investigated in a nested case-control study, involving 30 breast cancer cases and 120 controls, aged 68+/-6 (mean +/-S.D.) years, as part of the Dubbo Osteoporosis Epidemiology Study (Australia). METHODS: Bone mineral density (BMD, g/cm(2)) at the femoral neck and lumbar spine was measured by dual energy X-ray absorptiometry. Anthropometric data and reproductive history were collected by direct interview using a structured questionnaire. RESULTS: In univariate conditional logistic regression analysis, lower age at menarche, longer overall duration of lifetime ovulation and higher bone density were associated with higher risk of breast cancer. Among the breast cancer cases, 20% of subjects had lumbar spine BMD greater than 1.20 g/cm(2) (or 2.5 S.D. above the mean) compared with less than 1% of the controls. After adjusting for the effects of duration of lifetime ovulation and body mass index, each 0.1 g/cm(2) increase in lumbar spine and femoral neck BMD was associated with a 2.1-fold (95% CI: 1.3-3.4) and 1.5-fold (1.0-2.4) respectively, higher risk of breast cancer. Further adjustment for age at menarche, hormone replacement therapy, and parity did not alter the result. Thus, postmenopausal BMD, which is affected by lifetime exposure to estrogen, is also related to risk of breast cancer. Importantly, it is estimated that estrogen therapy in osteoporotic women, even if raising the risk of breast cancer by 70% as suggested by some studies, would not elevate their risk to the level experienced by their non-osteoporotic counterparts. CONCLUSION: While the mechanism of this relationship remains to be explored, these data support the concept that lifetime exposure to estrogen is an indicator of risk of both breast cancer and osteoporosis. However, the use of estrogen in osteoporosis treatment would not elevate the risk of breast cancer in osteoporotic women up to the level experienced by their non-osteoporotic counterparts.

Absorptiometry, Photon↗