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1

Erlichman, Martin. Radiographic absorptiometry for measuring bone mineral density. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, 1988.

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Erlichman, Martin. Dual photon absorptiometry for measuring bone mineral density. Rockville, MD: National Center for Health Services Research and Health Care Technology Assessment, U.S. Dept. of Health and Human Services, Public Health Service, 1987.

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Erlichman, Martin. Single photon absorptiometry for measuring bone mineral density. Rockville, MD: National Center for Health Services Research and Health Care Technology Assessment, U.S. Dept. of Health and Human Services, Public Health Service ; Springfield, VA : Available from National Technical Information Service, 1986.

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4

Wahner, Heinz W. The evaluation of osteoporosis: Dual energy x-ray absorptiometry in clinical practice. London: Martin Dunitz, 1994.

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5

National Center for Health Statistics (U.S.). Body composition data for individuals 8 years of age and older: U.S. population, 1999-2004. Hyattsville, MD: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

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6

Geusens, Piet. Photon absorptiometry in osteoporosis: Bone mineral measurements in animal models and in humans. Leuven: Katholieke Universiteit Leuven, Fakulteit Geneeskunde, Departement Reumatologie, Artritis en Metabole Botziekten Onderzoekseenheid, 1992.

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7

Atomic and molecular photoabsorption: Absolute total cross sections. San Diego, CA: Academic Press, 2002.

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8

Djokoto, Christina Camille. The optimization of a mechanical response tissue analyzer (MRTA) and a descriptive comparison with dual energy X-ray absorptiometry and quantitative ultrasound. Ottawa: National Library of Canada, 2002.

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9

Licata, Angelo A. A DXA primer for the practicing clinician: A case-based manual for understanding and interpreting bone densitometry. New York: Springer, 2014.

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10

Bonnick, Sydney Lou. Bone densitometry in clinical practice: Application and interpretation. Wyd. 2. Totowa, N.J: Humana Press, 2004.

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Bonnick, Sydney Lou. Bone densitometry in clinical practice: Application and interpretation. Wyd. 2. Totowa, NJ: Humana Press, 2002.

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Bone densitometry in clinical practice: Application and interpretation. Totowa, N.J: Humana Press, 1998.

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Bone densitometry in clinical practice: Application and interpretation. Wyd. 2. Totowa, N.J: Humana Press, 2004.

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14

National Center for Health Statistics (U.S.) i National Health and Nutrition Examination Survey (U.S.), red. Lumbar spine and proximal femur bone mineral density, bone mineral content, and bone area, United States, 2005-2008: Data from the National Health and Nutrition Examnination Survey (NHANES). Hyattsville, Md: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2012.

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15

International Workshop on Non-Invasive Bone Measurements (2nd 1987 Leuven, Belgium). Bone mineral measurements by photon absorptiometry: Methodological problems : proceedings of the second International Workshop on Non-Invasive Bone Measurements, held September 24-25, 1987, University Hospital Pellenberg, Leuven, Belgium. Leuven: Leuven University Press, 1988.

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16

Heismann, Björn J. Spectral CT imaging. Bellingham, Wash: SPIE Press, 2012.

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17

El Maghraoui, Abdellah, red. Dual Energy X-Ray Absorptiometry. InTech, 2012. http://dx.doi.org/10.5772/1114.

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18

Bone Mineral Measurements by Photon Absorptiometry -Methodological Problems. Leuven University Press, 1988.

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19

Taylor, B. L., L. C. Russen i B. Metcalfe. Measurement of Incorporation Levels of Vitrified Waste by X-ray Absorptiometry. AEA Technology Plc, 1988.

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20

Berkowitz, Joseph. Atomic and Molecular Photoabsorption, Volume 1. Academic Press, 2001.

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21

Berkowitz, Joseph. Atomic and Molecular Photoabsorption, Volume 1. Academic Press, 2001.

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22

National Center for Health Statistics (U.S.) i National Health and Nutrition Examination Survey (U.S.), red. Body composition data for individuals eight years of age and older, U.S. population, 1999-2004. Hyattsville, MD: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

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23

The Evaluation of Osteoporosis: Dual Energy X-ray Absorptiometry and Ultrasound in Clinical Practice. Wyd. 2. Informa Healthcare, 1998.

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24

Society, National Osteoporosis, red. Position statement on the use of peripheral x-ray absorptiometry in the management of osteoporosis. Bath: National Osteoporosis Society, 2001.

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25

Papageorgiou, S. An evaluation of a new forearm bone mineral densitometer with dual x-ray energy absorptiometry. 1995.

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26

Society, National Osteoporosis, red. Position statement on the reporting of dual energy x-ray absorptiometry (DXA) bone mineral density scans. Bath: National Osteoporosis Society, 2002.

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27

Palmer, R. M. An evaluation of the limitations of the technique of dual energy absorptiometry in the measurement of bone disease. 1996.

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28

Shepherd, Angela J., i Juliet M. Mckee. Osteoporosis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190466268.003.0015.

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Osteoporotic fractures are major causes of suffering and death. Dual-energy x-ray absorptiometry (DEXA) is the standard of care for diagnosis (T-score ≤ –2.5) of osteoporosis. Prevention of fractures requires addressing bone and muscle strength and balance. Physical exercise, good nutrition (fruits, vegetables, adequate calcium), adequate vitamin intake (C, D, and K), tobacco cessation, and no more than moderate alcohol intake enhance bone health and decrease fracture risk. Long-term treatment with glucocorticoids, certain drugs used in breast or prostate cancer treatment, and proton pump inhibitors used for gastroesophageal reflux disease may increase the risk for osteoporosis. Pharmacologically, bisphosphonates are the mainstay of osteoporosis treatment.
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29

Battalora, Linda A., i Benjamin Young. HIV and Bone Health. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190493097.003.0045.

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With improved long-term survival among populations of people living with HIV, it has been suggested that HIV/AIDS may hasten the aging process. There is increasing evidence that cardiovascular, renal, and bone disease and neurocognitive deficits may be more common among long-term survivors of HIV infection. Findings from cohort and prospective randomized studies suggest that people living with HIV are at increased risk of metabolic bone disease and related fractures. There are limited HIV-specific evidence-based recommendations regarding screening for bone disease. Several organizations recommend using dual-energy X-ray absorptiometry and/or the Fracture Risk Assessment Tool for screening of HIV-infected persons at risk of fractures.
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30

Lee, Christoph I. Decision Rules for Bone Densitometry Testing. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190223700.003.0034.

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This chapter, found in the bone, joint, and extremity pain section of the book, provides a succinct synopsis of a key study examining the use of decision rules for bone densitometry testing to mitigate risks for fractures associated with osteoporosis. This summary outlines the study methodology and design, major results, limitations and criticisms, related studies and additional information, and clinical implications. Researchers found that the Osteoporosis Risk Assessment Instrument and Simple Calculated Osteoporosis Risk Estimation decision rules performed the best for targeting dual-energy x-ray absorptiometry testing among high-risk patients. In addition to outlining the most salient features of the study, a clinical vignette and imaging example are included in order to provide relevant clinical context.
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31

Imai, Kazuhiro. Ex Vivo and In Vivo Assessment of Vertebral Strength and Vertebral Fracture Risk Assessed by Dual Energy X-Ray Absorptiometry. INTECH Open Access Publisher, 2012.

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32

Evaluation of Osteoporsis: Dexa. Martin Dunitz, 1998.

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Bonnick, Sydney Lou. Bone Densitometry in Clinical Practice: Application and Interpretation (Current Clinical Practice). Wyd. 2. Humana Press, 2003.

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34

Bonnick, Sydney Lou. Bone Densitometry in Clinical Practice: Application and Interpretation. Humana, 2017.

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Bonnick, Sydney Lou. Bone Densitometry in Clinical Practice. Springer, 2009.

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36

Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones are a tissue that even in adult life retains the ability to change shape and structure depending on changes in their mechanical and hormonal environment, as well as self-renewal and repair capabilities. This process is called bone turnover. The basic processes of bone turnover are: • bone modeling (incessantly changes in bone shape during individual growth) following resorption and tissue formation at various locations (e.g. bone marrow formation) to increase mass and skeletal morphology. This process occurs in the bones of growing individuals and stops after reaching puberty • bone remodeling (processes involve in maintaining bone tissue by resorbing and replacing old bone tissue with new tissue in the same place, e.g. repairing micro fractures). It is a process involving the removal and internal remodeling of existing bone and is responsible for maintaining tissue mass and architecture of mature bones. Bone turnover is regulated by two types of transformation: • osteoclastogenesis, i.e. formation of cells responsible for bone resorption • osteoblastogenesis, i.e. formation of cells responsible for bone formation (bone matrix synthesis and mineralization) Bone maturity can be defined as the completion of basic structural development and mineralization leading to maximum mass and optimal mechanical strength. The highest rate of increase in pig bone mass is observed in the first twelve weeks after birth. This period of growth is considered crucial for optimizing the growth of the skeleton of pigs, because the degree of bone mineralization in later life stages (adulthood) depends largely on the amount of bone minerals accumulated in the early stages of their growth. The development of the technique allows to determine the condition of the skeletal system (or individual bones) in living animals by methods used in human medicine, or after their slaughter. For in vivo determination of bone properties, Abstract 10 double energy X-ray absorptiometry or computed tomography scanning techniques are used. Both methods allow the quantification of mineral content and bone mineral density. The most important property from a practical point of view is the bone’s bending strength, which is directly determined by the maximum bending force. The most important factors affecting bone strength are: • age (growth period), • gender and the associated hormonal balance, • genotype and modification of genes responsible for bone growth • chemical composition of the body (protein and fat content, and the proportion between these components), • physical activity and related bone load, • nutritional factors: – protein intake influencing synthesis of organic matrix of bone, – content of minerals in the feed (CA, P, Zn, Ca/P, Mg, Mn, Na, Cl, K, Cu ratio) influencing synthesis of the inorganic matrix of bone, – mineral/protein ratio in the diet (Ca/protein, P/protein, Zn/protein) – feed energy concentration, – energy source (content of saturated fatty acids - SFA, content of polyun saturated fatty acids - PUFA, in particular ALA, EPA, DPA, DHA), – feed additives, in particular: enzymes (e.g. phytase releasing of minerals bounded in phytin complexes), probiotics and prebiotics (e.g. inulin improving the function of the digestive tract by increasing absorption of nutrients), – vitamin content that regulate metabolism and biochemical changes occurring in bone tissue (e.g. vitamin D3, B6, C and K). This study was based on the results of research experiments from available literature, and studies on growing pigs carried out at the Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences. The tests were performed in total on 300 pigs of Duroc, Pietrain, Puławska breeds, line 990 and hybrids (Great White × Duroc, Great White × Landrace), PIC pigs, slaughtered at different body weight during the growth period from 15 to 130 kg. Bones for biomechanical tests were collected after slaughter from each pig. Their length, mass and volume were determined. Based on these measurements, the specific weight (density, g/cm3) was calculated. Then each bone was cut in the middle of the shaft and the outer and inner diameters were measured both horizontally and vertically. Based on these measurements, the following indicators were calculated: • cortical thickness, • cortical surface, • cortical index. Abstract 11 Bone strength was tested by a three-point bending test. The obtained data enabled the determination of: • bending force (the magnitude of the maximum force at which disintegration and disruption of bone structure occurs), • strength (the amount of maximum force needed to break/crack of bone), • stiffness (quotient of the force acting on the bone and the amount of displacement occurring under the influence of this force). Investigation of changes in physical and biomechanical features of bones during growth was performed on pigs of the synthetic 990 line growing from 15 to 130 kg body weight. The animals were slaughtered successively at a body weight of 15, 30, 40, 50, 70, 90, 110 and 130 kg. After slaughter, the following bones were separated from the right half-carcass: humerus, 3rd and 4th metatarsal bone, femur, tibia and fibula as well as 3rd and 4th metatarsal bone. The features of bones were determined using methods described in the methodology. Describing bone growth with the Gompertz equation, it was found that the earliest slowdown of bone growth curve was observed for metacarpal and metatarsal bones. This means that these bones matured the most quickly. The established data also indicate that the rib is the slowest maturing bone. The femur, humerus, tibia and fibula were between the values of these features for the metatarsal, metacarpal and rib bones. The rate of increase in bone mass and length differed significantly between the examined bones, but in all cases it was lower (coefficient b <1) than the growth rate of the whole body of the animal. The fastest growth rate was estimated for the rib mass (coefficient b = 0.93). Among the long bones, the humerus (coefficient b = 0.81) was characterized by the fastest rate of weight gain, however femur the smallest (coefficient b = 0.71). The lowest rate of bone mass increase was observed in the foot bones, with the metacarpal bones having a slightly higher value of coefficient b than the metatarsal bones (0.67 vs 0.62). The third bone had a lower growth rate than the fourth bone, regardless of whether they were metatarsal or metacarpal. The value of the bending force increased as the animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. The rate of change in the value of this indicator increased at a similar rate as the body weight changes of the animals in the case of the fibula and the fourth metacarpal bone (b value = 0.98), and more slowly in the case of the metatarsal bone, the third metacarpal bone, and the tibia bone (values of the b ratio 0.81–0.85), and the slowest femur, humerus and rib (value of b = 0.60–0.66). Bone stiffness increased as animals grew. Regardless of the growth point tested, the highest values were observed for the humerus, tibia and femur, smaller for the metatarsal and metacarpal bone, and the lowest for the fibula and rib. Abstract 12 The rate of change in the value of this indicator changed at a faster rate than the increase in weight of pigs in the case of metacarpal and metatarsal bones (coefficient b = 1.01–1.22), slightly slower in the case of fibula (coefficient b = 0.92), definitely slower in the case of the tibia (b = 0.73), ribs (b = 0.66), femur (b = 0.59) and humerus (b = 0.50). Bone strength increased as animals grew. Regardless of the growth point tested, bone strength was as follows femur > tibia > humerus > 4 metacarpal> 3 metacarpal> 3 metatarsal > 4 metatarsal > rib> fibula. The rate of increase in strength of all examined bones was greater than the rate of weight gain of pigs (value of the coefficient b = 2.04–3.26). As the animals grew, the bone density increased. However, the growth rate of this indicator for the majority of bones was slower than the rate of weight gain (the value of the coefficient b ranged from 0.37 – humerus to 0.84 – fibula). The exception was the rib, whose density increased at a similar pace increasing the body weight of animals (value of the coefficient b = 0.97). The study on the influence of the breed and the feeding intensity on bone characteristics (physical and biomechanical) was performed on pigs of the breeds Duroc, Pietrain, and synthetic 990 during a growth period of 15 to 70 kg body weight. Animals were fed ad libitum or dosed system. After slaughter at a body weight of 70 kg, three bones were taken from the right half-carcass: femur, three metatarsal, and three metacarpal and subjected to the determinations described in the methodology. The weight of bones of animals fed aa libitum was significantly lower than in pigs fed restrictively All bones of Duroc breed were significantly heavier and longer than Pietrain and 990 pig bones. The average values of bending force for the examined bones took the following order: III metatarsal bone (63.5 kg) <III metacarpal bone (77.9 kg) <femur (271.5 kg). The feeding system and breed of pigs had no significant effect on the value of this indicator. The average values of the bones strength took the following order: III metatarsal bone (92.6 kg) <III metacarpal (107.2 kg) <femur (353.1 kg). Feeding intensity and breed of animals had no significant effect on the value of this feature of the bones tested. The average bone density took the following order: femur (1.23 g/cm3) <III metatarsal bone (1.26 g/cm3) <III metacarpal bone (1.34 g / cm3). The density of bones of animals fed aa libitum was higher (P<0.01) than in animals fed with a dosing system. The density of examined bones within the breeds took the following order: Pietrain race> line 990> Duroc race. The differences between the “extreme” breeds were: 7.2% (III metatarsal bone), 8.3% (III metacarpal bone), 8.4% (femur). Abstract 13 The average bone stiffness took the following order: III metatarsal bone (35.1 kg/mm) <III metacarpus (41.5 kg/mm) <femur (60.5 kg/mm). This indicator did not differ between the groups of pigs fed at different intensity, except for the metacarpal bone, which was more stiffer in pigs fed aa libitum (P<0.05). The femur of animals fed ad libitum showed a tendency (P<0.09) to be more stiffer and a force of 4.5 kg required for its displacement by 1 mm. Breed differences in stiffness were found for the femur (P <0.05) and III metacarpal bone (P <0.05). For femur, the highest value of this indicator was found in Pietrain pigs (64.5 kg/mm), lower in pigs of 990 line (61.6 kg/mm) and the lowest in Duroc pigs (55.3 kg/mm). In turn, the 3rd metacarpal bone of Duroc and Pietrain pigs had similar stiffness (39.0 and 40.0 kg/mm respectively) and was smaller than that of line 990 pigs (45.4 kg/mm). The thickness of the cortical bone layer took the following order: III metatarsal bone (2.25 mm) <III metacarpal bone (2.41 mm) <femur (5.12 mm). The feeding system did not affect this indicator. Breed differences (P <0.05) for this trait were found only for the femur bone: Duroc (5.42 mm)> line 990 (5.13 mm)> Pietrain (4.81 mm). The cross sectional area of the examined bones was arranged in the following order: III metatarsal bone (84 mm2) <III metacarpal bone (90 mm2) <femur (286 mm2). The feeding system had no effect on the value of this bone trait, with the exception of the femur, which in animals fed the dosing system was 4.7% higher (P<0.05) than in pigs fed ad libitum. Breed differences (P<0.01) in the coross sectional area were found only in femur and III metatarsal bone. The value of this indicator was the highest in Duroc pigs, lower in 990 animals and the lowest in Pietrain pigs. The cortical index of individual bones was in the following order: III metatarsal bone (31.86) <III metacarpal bone (33.86) <femur (44.75). However, its value did not significantly depend on the intensity of feeding or the breed of pigs.
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