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Journal articles on the topic 'Bone densitometry'

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Author: Grafiati

Published: 4 June 2021

Last updated: 3 March 2023

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1

Захаров and I. Zakharov. "The Use of Computer Technology in Standardization of the Parameters of X-Ray Densitometry." Journal of New Medical Technologies 22, no. 1 (February 11, 2015): 75–79. http://dx.doi.org/10.12737/9082.

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Currently, the radiation techniques are dominant in the diagnosis of osteoporosis, among them the dual-energy X-ray absorptiometry (DXA) is the leading. This method is based on the determination of bone mineral density. The article describes a computerized system Standart LS (Russia), which standardizes the parameters of bone mineral density, depending on the type of densitometry equipment and evaluates the results of X-ray densitometry taking into account a regional perspective. The developed program and population database of parameters of bone mineral density were the results of retrospective analysis of the dual-energy X-ray absorptiometry in 1504 women living in Kemerovo region. The dual-energy X-ray absorptiometry was performed with a bone densitometer Lunar-DPX-NT (GE Healthcare, UK). Initially, the bone mineral density of the first-fourth lumbar vertebrae was studied; then, the standardization of other parameters of densitometric systems was carried out (Hologic, Norland). The algorithm of the computer program consists of three phases: the introduction of parameters of bone mineral density, the standardization and the processing according to a type of densitometer and an age of a subject. After data processing, the values of Z-criteria are given out according to the recommendations of the International Society for Clinical Densitometry. The developed computerized system will contribute to a more accurate assessment of bone mineral density in the women, taking into account regional differences.

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2

Agarwal, Monica, and Pauline Camacho. "Bone densitometry." Postgraduate Medicine 119, no. 1 (June 2006): 17–23. http://dx.doi.org/10.3810/pgm.2006.06.1636.

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3

Mazess, RM. "Bone densitometry." American Journal of Roentgenology 150, no. 1 (January 1988): 207–8. http://dx.doi.org/10.2214/ajr.150.1.207.

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4

NOTELOVITZ, MORRIS. "Bone Densitometry." Annals of Internal Medicine 108, no. 3 (March 1, 1988): 481. http://dx.doi.org/10.7326/0003-4819-108-3-481.

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5

Dondelinger, Robert. "Bone Densitometry." Biomedical Instrumentation & Technology 48, no. 4 (July 1, 2014): 295–99. http://dx.doi.org/10.2345/0899-8205-48.4.295.

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6

Chun, Kwang J. "Bone Densitometry." Seminars in Nuclear Medicine 41, no. 3 (May 2011): 220–28. http://dx.doi.org/10.1053/j.semnuclmed.2010.12.002.

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7

Maricic, Michael, and Zhao Chen. "Bone Densitometry." Clinics in Laboratory Medicine 20, no. 3 (September 2000): 469–88. http://dx.doi.org/10.1016/s0272-2712(18)30048-9.

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8

Mazess, R. "Bone densitometry." BMJ 293, no. 6539 (July 12, 1986): 137. http://dx.doi.org/10.1136/bmj.293.6539.137-d.

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9

Faulkner, Kenneth G. "Bone Densitometry." Journal of Clinical Densitometry 1, no. 3 (September 1998): 279–85. http://dx.doi.org/10.1385/jcd:1:3:279.

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10

Dias, Bianca Marfil, Anderson F. de Souza, and André Luis do V. De Zoppa. "Evaluation of bone mineral density through radiographic optical densitometry in 42 canine femures." Clínica Veterinária XXVI, no. 150 (January 1, 2021): 64–69. http://dx.doi.org/10.46958/rcv.2021.xxvi.n.150.p.64-69.

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This study evaluates the bone mineral density of 42 canine femurs using radiographic optical densitometry and validates radiographic optical densitometry as a parameter to standardize bone tissue samples used in biomechanical tests, contributing to the diagnosis of osteoporosis in dogs. The ImageJ 1.46r® program was used for the radiographic optical densitometry. After selecting the aluminum steps and the area of interest in the femur, the data obtained were stored in a table and converted into mm/Al using the MS Excel® trend function. Statistical analysis demonstrated the absence of atypical values (outiliers) in the samples analyzed. The samples evaluated were homogeneous and the densitometric data obtained may contribute to reducing the scarcity of densitometric references in the veterinary literature. Ex vivo biomechanical studies may benefit from the method used in this study to standardize their sample when evaluating bone mineral density, validating their respective projects

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11

van Kuijk, Cornelis. "Pediatric Bone Densitometry." Radiologic Clinics of North America 48, no. 3 (May 2010): 623–27. http://dx.doi.org/10.1016/j.rcl.2010.02.017.

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12

Kiebzak, Gary M. "Peripheral Bone Densitometry." Southern Medical Journal 97, no. 6 (June 2004): 542–43. http://dx.doi.org/10.1097/00007611-200406000-00005.

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13

Ralston, Stuart H. "Bone densitometry and bone biopsy." Best Practice & Research Clinical Rheumatology 19, no. 3 (June 2005): 487–501. http://dx.doi.org/10.1016/j.berh.2004.11.008.

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14

OYAMA, KAZUYUKI. "Comparison of Bone Densitometry." RADIOISOTOPES 44, no. 10 (1995): 767–68. http://dx.doi.org/10.3769/radioisotopes.44.10_767.

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15

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Sharmila Majumdar, Steven T. Harris, Klaus Engelke, and Cornelis van Kuijk. "Acronyms in Bone Densitometry." Radiology 184, no. 3 (September 1992): 878. http://dx.doi.org/10.1148/radiology.184.3.878-a.

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16

SCHICK, FRITZ, DIETMAR SEITZ, J??RGEN MACHANN, OTTO LUTZ, and CLAUS D. CLAUSSEN. "Magnetic Resonance Bone Densitometry." Investigative Radiology 30, no. 4 (April 1995): 254–65. http://dx.doi.org/10.1097/00004424-199504000-00010.

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17

Nordin, B. E. C., and B. E. C. Nordin. "Guidelines for bone densitometry." Medical Journal of Australia 160, no. 8 (April 1994): 517–20. http://dx.doi.org/10.5694/j.1326-5377.1994.tb138321.x.

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18

Adams, Judith. "Bone densitometry in children." Journal of Orthopaedic Translation 2, no. 4 (October 2014): 204–5. http://dx.doi.org/10.1016/j.jot.2014.07.128.

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19

Murphy, Cindy. "Bone Densitometry For Technologists." Canadian Journal of Medical Radiation Technology 34, no. 1 (March 2003): 22. http://dx.doi.org/10.1016/s0820-5930(09)60016-5.

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20

Bilezikian, J. "Bone densitometry in men." Bone 29, no. 3 (September 2001): 299–300. http://dx.doi.org/10.1016/s8756-3282(01)00528-2.

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21

Barden, Howard S., and Richard B. Mazess. "Bone densitometry in infants." Journal of Pediatrics 113, no. 1 (July 1988): 172–77. http://dx.doi.org/10.1016/s0022-3476(88)80607-3.

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22

Fogelman, Ignac, and Glen M. Blake. "Bone densitometry: an update." Lancet 366, no. 9503 (December 2005): 2068–70. http://dx.doi.org/10.1016/s0140-6736(05)67867-1.

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23

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Sharmila Majumdar, Steve T. Haffis, Klaus Engelke, Satoshi Hagiwaea, and Cornelis van Kuijk. "Acronyms in bone densitometry." Calcified Tissue International 51, no. 6 (December 1992): 449. http://dx.doi.org/10.1007/bf00296679.

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24

Genant, H. K., C. C. Glüer, K. G. Faulkner, S. Majumdar, S. T. Harris, K. Engelke, and C. van Kuijk. "Acronyms in bone densitometry." Osteoporosis International 2, no. 5 (September 1992): 224. http://dx.doi.org/10.1007/bf01624145.

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25

Genant, H. K., C. C. Glüer, K. G. Faulkner, S. Majumdar, S. T. Harris, K. Engelke, S. Hagiwara, and C. van Kuijk. "Acronyms in bone densitometry." Skeletal Radiology 21, no. 7 (October 1992): 448. http://dx.doi.org/10.1007/bf00190988.

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26

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Sharmila Majumdar, Steve T. Harris, Klaus Engelke, and Cornelis van Kuijk. "Acronyms in bone densitometry." European Journal of Radiology 15, no. 3 (October 1992): 299. http://dx.doi.org/10.1016/0720-048x(92)90128-v.

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27

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Shamila Majumdar, Steve T. Harris, Klaus Engelke, and Cornelis van Kuijk. "Acronyms in bone densitometry." Bone and Mineral 19, no. 1 (October 1992): 97–98. http://dx.doi.org/10.1016/0169-6009(92)90847-7.

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28

van Rijn, R. R., and C. van Kuijk. "Bone Densitometry in Children." Seminars in Musculoskeletal Radiology 06, no. 3 (2002): 233–40. http://dx.doi.org/10.1055/s-2002-36721.

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29

Mazess, R. B. "Bone densitometry reference data." British Journal of Radiology 71, no. 846 (June 1998): 693–95. http://dx.doi.org/10.1259/bjr.71.846.9849400.

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30

Adams, Judith. "Bone Densitometry in Children." Seminars in Musculoskeletal Radiology 20, no. 03 (October 14, 2016): 254–68. http://dx.doi.org/10.1055/s-0036-1592369.

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31

Genant, H. K., C. C. Gluer, K. G. Faulkner, S. Majumdar, S. T. Harris, K. Engelke, and C. van Kuijk. "Acronyms in bone densitometry." British Journal of Radiology 65, no. 780 (December 1992): 1148. http://dx.doi.org/10.1259/0007-1285-65-780-1148-a.

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32

Genant, Harry K. "Interpretation of Bone Densitometry." JCR: Journal of Clinical Rheumatology 3, Supplement (April 1997): 22–27. http://dx.doi.org/10.1097/00124743-199704001-00006.

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33

Lenchik, Leon. "Radiologists and Bone Densitometry." Journal of Clinical Densitometry 2, no. 2 (June 1999): 175–77. http://dx.doi.org/10.1385/jcd:2:2:175.

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34

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Steve T. Harris, Klaus Engelke, Satoshi Hagiwara, and Cornelis van Kuijk. "Acronyms in bone densitometry." Medical Physics 19, no. 5 (September 1992): 1225. http://dx.doi.org/10.1118/1.596755.

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35

Stock, J. "Bone densitometry & osteoporosis." ACOG Clinical Review 3, no. 6 (November 12, 1998): 10–11. http://dx.doi.org/10.1016/s1085-6862(98)80020-4.

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36

Genant, H. K., K. G. Faulkner, C. C. Glüer, and K. Engelke. "Bone densitometry: Current assessment." Osteoporosis International 3, S1 (January 1993): 91–97. http://dx.doi.org/10.1007/bf01621875.

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37

Levis, Silvina, and Roy Altman. "Bone densitometry: Clinical considerations." Arthritis & Rheumatism 41, no. 4 (April 1998): 577–87. http://dx.doi.org/10.1002/1529-0131(199804)41:4<577::aid-art4>3.0.co;2-7.

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38

Genant, Harry K., Claus C. Glüer, Kenneth G. Faulkner, Sharmila Majumdar, Steve T. Harris, Klaus Engelke, Satashi Hagiwaea, and Cornelis van Kuijk. "Acronyms in bone densitometry." Journal of Bone and Mineral Research 7, no. 10 (December 3, 2009): 1239. http://dx.doi.org/10.1002/jbmr.5650071017.

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39

Yatsenko, I. V., S. A. Tkachuk, L. V. Busol, M. M. Bondarevsky, I. V. Zabarna, and I. A. Biben. "X-ray densitometric indices of proximal phalanx, medial phalanx and ungular pelvic limb bones as criteria for age diagnosis of cattle in forensic veterinary expertise." Regulatory Mechanisms in Biosystems 10, no. 2 (May 9, 2019): 197–202. http://dx.doi.org/10.15421/021929.

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Morphological parameters of biological material are extremely informative in diagnostic studies, in particular, to determine the species, sex, time of death, the term of burial. The most informative object for these tasks is the skeleton, because changes in the bones are stored for a long time, while soft tissue is subjected to rotting. Bone tissue is the most durable, but at the same time, it is very labile and reacts to all metabolic processes in the body. The object of the study was proximal phalanx, medial phalanx and ungular bone of the pelvic limb of cattle ranging in age from newborn to 12 years old. Radiography of the proximal phalanx, medial phalanx and ungular bones of the pelvic limb was performed on the Arman apparatus. The bones were subjected to X-ray in the lateromedial projection. The inner and outer sections of the tubular bone were determined. The mathematical modeling of the interaction of X-rays and the cortical layer of bones of fingers (proximal phalanx, medial phalanx and ungular) of cattle was carried out in this work. It is established that this process is described by Bouger's law. The physico-mathematical model of proximal phalanx, medial phalanx and ungular bones has been calculated, on the basis of which it was possible to calculate the X-ray densitometric indices of these bones of cattle. The age features of dynamics of X-ray densitometric indices of the proximal phalanx, medial phalanx and ungular bones were established and a method of determining the age of cattle according to this criterion was proposed. A mathematical model for the proximal phalanx, medial phalanx and ungular bones of the pelvic limbs of cattle that can be applied in X-ray densitometry uses: for the average third proximal phalanx – section of heterogeneous tubular structure modeled by a semicircle; for a medial phalanx bone – a section of a triangular shape; for the ungular bone – a heterogeneous structure, the plantar surface is inscribed in a rectangle. The process of interaction of X-rays with the bone structure of the examined pelvic limb bones can be described by Bouguer's law. The developed mathematical modeling of this interaction and the algorithm for its analysis is the basis for determining the age of cattle for X-ray densitometric indices of the proximal phalanx, medial phalanx and ungular bones of pelvic limbs. By X-ray densitometry of the proximal phalanx and medial phalanx bones of the pelvic limbs extremities one can diagnose the age of bovine animals from birth to 5 years, but according to ungular bones – from birth to 10 years. X-ray densitometry of medial phalanx and ungular bones of pelvic limbs can be used for diagnosing bovine cattle in a complex with other morphological, chemical and physical methods of investigation.

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40

Tagaev, Tugolbai J. "Prevalence of osteopenia and osteoporosis in elderly and senile individuals of Kyrgyzstan." Science and Innovations in Medicine 7, no. 1 (January 15, 2021): 26–29. http://dx.doi.org/10.35693/2500-1388-2022-7-1-26-29.

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Aim to study the age-related prevalence of osteopenic syndrome and osteoporosis using ultrasound bone densitometry in elderly and senile individuals of the Kyrgyz Republic. Material and methods. The study included 1,700 elderly and senile individuals, of which 820 were male and 880 were female. The patients were divided into two age groups: elderly (6074 years old) and senile individuals (7590 years old). For screening examination, a portable ultrasonic bone densitometer SONOST-3000 was used. Results. The prevalence of osteoporosis, osteopenia and normal bone mineral density in the elderly age group was 31.3%, 43.5% and 25.2%; in the senile group 45.5%, 36.5% and 18.1%, respectively. The incidence of osteoporosis increased with age (p 0.003) and was more common in women (p 0.001). Conclusion. Osteopenia and osteoporosis, determined by densitometric thresholds, are widespread among the elderly population of Kyrgyzstan, with a higher incidence among women.

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41

R, Mawella, and Rajak R. "A Concordance study of CT densitometry with DXA densitometry." Open Journal of Orthopedics and Rheumatology 7, no. 1 (February 23, 2022): 001–3. http://dx.doi.org/10.17352/ojor.000042.

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Osteoporosis is a skeletal disorder characterized by compromised bone strength resulting in an increased risk of fracture [1]. Bone Mineral Density (BMD) is responsible for 60-90% of the strength of bone [1] and the current standard of assessment is by Dual-energy X-Ray Absorptiometry (DXA). DXA generates T-scores of the lumbar spine, femoral neck, or hip by calculating the difference between the individual’s BMD and the population mean, divided by the standard deviation of the reference population. The World Health Organisation (WHO) classifies osteoporosis at a T-score of or below -2.5.

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42

Negreiros, Caio Cesar Leite de, Marina Guareschi Berigo, Robson Luiz Dominoni, and Deisi Maria Vargas. "Asymptomatic vertebral fractures in patients with low bone mineral density." Revista da Associação Médica Brasileira 62, no. 2 (April 2016): 145–50. http://dx.doi.org/10.1590/1806-9282.62.02.145.

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Summary Objective: Vertebral fracture assessment (VFA) is a test technique that can be used to detect asymptomatic vertebral fractures (AVF). It uses dual energy X-ray bsorptiometry (DXA) and can be performed concurrently with bone densitometry. This study aims to assess the prevalence of AVF in patients with low bone mass. Methods: Cross-sectional study including 135 individuals with low bone mineral density (BMD) with a T-score < -2.0 standard deviation (SD) in a densitometry clinic located in the city of Blumenau (state of Santa Catarina). Anthropometric, clinical and lifestyle variables were obtained from history-taking and physical examination. Densitometric variables were obtained by bone mineral densitometry and VFA (Explorer, Hollogic®). Vertebral fractures were classified according to the Genant criteria. Student's t, chi-square and logistic regression were performed for statistical analysis. Results: AVFs occurred in 24.4% of the subjects. They were older compared to those without AVF (65±9.25 versus 60.1±8.66; p=0.005), and had a history of lowimpact fractures (38.24% versus 19.8%; OR 2.5; p=0.03). Half of the patients that reported steroid therapy had AVFs, compared to one fifth of those who did not use steroids (50% versus 21.49%; OR 3.6; p=0.01). Conclusion: Asymptomatic vertebral fractures were present in approximately one fourth of patients. The risk factors associated were history of low-impact fracture, use of steroids and age > 61 years.

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43

Radchenko, Volodymyr, Sergey Kosterin, Ninel Dedukh, and Yevgeny Pobel. "Bone densitometry in clinical practice." ORTHOPAEDICS, TRAUMATOLOGY and PROSTHETICS, no. 2 (July 1, 2015): 100. http://dx.doi.org/10.15674/0030-598720152100-107.

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44

Eis, Sergio Ragi, and E. Michael Lewiecki. "Peripheral bone densitometry: clinical applications." Arquivos Brasileiros de Endocrinologia & Metabologia 50, no. 4 (August 2006): 596–602. http://dx.doi.org/10.1590/s0004-27302006000400005.

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Technologies for the measurement of bone mineral density and other parameters of bone strength at peripheral skeletal sites have been studied since the 1960s. Single-energy Photon Absorptiometry (SPA), Radiographic Absorptiometry (RA), Radiogrametry (RG), Single-energy X-ray Absorptiometry (SXA), Peripheral Dual-energy X-ray Absorptiometry (pDXA), and Quantitative Ultrasonometry (QUS) have been successively evaluated. These technologies and their clinical applications are discussed in this article. The available scientific evidence supports the clinical use of these technologies at peripheral skeletal for assessment of fracture risk. Peripheral measurements other than the 33% (one-third) radius by DXA cannot be used to diagnose osteoporosis according to current standards. Peripheral skeletal sites are not clinically useful for monitoring changes in BMD with natural evolution of the disease and its treatment. Peripheral BMD measurement can theoretically be used to screen patients for selection to central DXA testing, although device-specific cut-points should be developed before this is implemented. When central DXA testing is not available, peripheral BMD testing may be considered to identify individuals who might benefit from pharmacological intervention.

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45

Lee, Sang Hoon, Shin Young Kang, and Jong Seok Lee. "Bone Densitometry in Rheumatoid Arthritis." Journal of the Korean Orthopaedic Association 23, no. 3 (1988): 841. http://dx.doi.org/10.4055/jkoa.1988.23.3.841.

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46

Blake, Glen M., and Ignac Fogelman. "Bone densitometry, steroids and osteoporosis." Current Opinion in Internal Medicine 2, no. 1 (February 2003): 55–61. http://dx.doi.org/10.1097/00132980-200302010-00010.

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47

PEJOVIC, TANJA, and DAVID L. OLIVE. "Contemporary Use of Bone Densitometry." Clinical Obstetrics and Gynecology 42, no. 4 (December 1999): 876. http://dx.doi.org/10.1097/00003081-199912000-00015.

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48

Harcke, H. "Pediatric Bone Densitometry: Technical Issues." Seminars in Musculoskeletal Radiology 3, no. 04 (1999): 371–78. http://dx.doi.org/10.1055/s-2008-1080080.

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49

Wilson, Charles R., and Ignac Fogelman. "Densitometry and bone mineral measurement." Current Opinion in Rheumatology 2, no. 2 (April 1990): 369–78. http://dx.doi.org/10.1097/00002281-199002020-00022.

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50

Sartoris, D. J. "Clinical value of bone densitometry." American Journal of Roentgenology 163, no. 1 (July 1994): 133–35. http://dx.doi.org/10.2214/ajr.163.1.8010199.

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