Evaluating cortical bone porosity using Hr-Pqct
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Abstract
This work aims to evaluate cortical porosity through a high-resolution peripheral quantitative micro-tomography in a group of 47 patients. All patients, in vivo, were subjected to the medical care protocol of the University Hospital Clementino Fraga, 020-213. Patients were women aged from 37 to 82 years old, who did not present fractures in their lower and upper limbs, all of them showing good health. During screening, they were required to have normal BMD (as determined by DXA; T-score ≥ 1.0) and no low-trauma fractures history. The exclusion criteria for all the individuals enrolled in this control study include, for example, alcoholism, chronic drug use, and chronic gastrointestinal disease. Male patients ranging from 42 to 79 years old presented the same health issues as women group. Results showed an increase in the amount of pores on the cortical bone of the evaluated patients over time; however, this increase was also observed in pore diameter, as well as a decrease in the border between the cortical and trabecular bone, indicating a deterioration in cortical bone quality over the years.
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Verron E, Gauthier O, Janvier P, Pilet P, Lesoeur J. In vivo bone augmentation in an osteoporotic environment using bisphosphonate-loaded calcium deficient apatite. Biomaterials. 2010; 31: 7776-7784. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20643480
Panattoni GL, D'amelio P, Di Stefano M, Sciolla A, Isaia GC. Densitometric study of developing femur. Calcified Tissue International. 1999; 64: 133-136.
Klotzbuecher CM, Ross P, Blumberg P, Thomas AA, Marc B. Patients with Prior Fractures Have an Increased Risk of Future Fractures: A Summary of the Literature and Statistical Synthesis. J Bone Miner Res. 2000; 15: 721-739. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10780864
Seeman E. Bone quality. Osteoporosis Int. 2003; 14(suppl): 5-7.
Digirolamo DJ, Kiel DP, Esser KA. Bone and skeletal muscle: neighbors with close ties. J Bone Miner Res. 2013; 28: 1509-1518. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23630111
Black DM, Clifford J, Rosen MD. Postmenopausal Osteoporosis. N Engl J Med. 2016; 374: 254-262.
Lima I, Farias MLF, Percegoni N, Rosenthal D, Assis JT, et al. Micro imaging analysis for osteoporosis assessment. Spectrochimica Acta. 2010; 65: 253-257.
Marinozzi F, Marinozzi A, Zuppante FBF, Pecci R, Bedini R. Variability of morphometric parameters of human trabecular tissue from coxo-arthritis and osteoporotic samples. Ann Ist Super Sanità. 2012; 48: 19-25. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22456011
Brandi ML. Microarchitecture, the key to bone quality. Rheumatology. 2009; 48: iv3–iv8. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19783591
Buzug TM. Computed Tomography From Photon Statistics to Modern Cone-Beam CT, Springer, 2008.
Silva BC, Walker MD, Abraham A, Boutroy S, Zhang C, et al. Trabecular Bone Score Is Associated With Volumetric Bone Density and Microarchitecture as Assessed by Central QCT and HRpQCT in Chinese American and White Women. J Clin Densitom. 2013; 16: 554-561. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24080513
Zebaze R, Ghasem-Zadeh A, Mbala A, Seeman E. A new method of segmentation of compact-appearing, transitional and trabecular compartments and quantification of cortical porosity from high resolution peripheral quantitative computed tomographic images. Bone. 2013; 54: 8-20. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23334082
Tjong W, Nirody J, Burghardt AJ, Carballido-Gamio J, Kazakiae GJ, et al. Structural analysis of cortical porosity applied to HR-pQCT data. Med Phys 2014; 41: 013701. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24387533
Madeira M, Vieira Neto L, De Paula Paranhos Neto F, Lima I, Carvalho De Mendonça LM, et al. Acromegaly Has a Negative Influence on Trabecular Bone, But Not on Cortical Bone, as Assessed by High-Resolution Peripheral Quantitative Computed Tomography, J Clin Endocrinol Metab. 2013; 98: 1734-1741. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23482608
Xtreme CT. User’s Guide, SCANCO MEDICAL AG Fabrikweg 2 CH-8306. Bruettisellen Switzerland. 2013.
Laib A, Hauselmann HJ, Ruegsegger P. In vivo high resolution 3D-QCT of the human forearm. Technol Health Care. 1998; 6: 329-37. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10100936
Muller R, Hildebrand T, Hauselmann HJ, Ruegsegger P. In vivo reproducibility of three-dimensional structural properties of noninvasive bone biopsies using 3D-pQCT. J Bone Miner Res. 1996; 11: 1745-1750. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8915782
Zerbini CAF, Latorre MRO, Jaime PC, Tanaka T, & Pippa MGB.. Bone mineral density in Brazilian men 50 years and older. Braz J Med Biol Res. 2000; 3: 1429-1435. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11105094
Macdonald HM, Nishiyama KK, Kang J, Hanley DA, Boyd SK. Age-related patterns of trabecular and cortical bone loss differ between sexes and skeletal sites: a population-based HR-pQCT study. J Bone Miner Res. 2011; 26: 50-62. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20593413
Burghardt AJ, Buie HR, Laib A, Majumdar S, Steven K. Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. Bone. 2010; 47: 519-528. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20561906
Dunsmuir JH. X ray Microtomography. ExxonmMobil Research and Engineering. Co. Annadale NJ. 1990.
Feldkamp LA, Goldstein SA, Parfitt AM, Jesion G, Kleerekoper M. The direct examination of three-dimensional bone architecture in vitro by computed tomography. J Bone Miner Res. 1989; 4: 3-11. PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2718776