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Precision of bone density and micro-architectural properties at the distal radius and tibia in children: an HR-pQCT study

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Abstract

Summary

Precision errors need to be known when monitoring bone micro-architecture in children with HR-pQCT. Precision errors for trabecular bone micro-architecture ranged from 1 to 8% when using the standard evaluation at the radius and tibia. Precision errors for cortical bone micro-architecture ranged from 1 to 11% when using the advanced cortical evaluation.

Introduction

Our objective was to define HR-pQCT precision errors (CV%RMS) and least significant changes (LSCs) at the distal radius and tibia in children using the standard evaluation and the advanced cortical evaluation.

Methods

We scanned the distal radius (7% of ulnar length) and tibia (8% of tibia length) of 32 children (age range 8–13; mean age 11.3; SD 1.6 years) twice (1 week apart) using HR-pQCT (XtremeCT1). We calculated root-mean-squared coefficients of variation (CV%RMS) to define precision errors and LSC to identify differences required to detect change.

Results

Precision errors ranged between 1–8 and 1–5% for trabecular bone outcomes (obtained with standard evaluation) and between 1.5–11 and 0.5–6% for cortical bone outcomes (obtained with advanced cortical evaluation) at the distal radius and tibia, respectively. Related LSCs ranged between 3–21 and 3–14% for trabecular bone outcomes and between 4–30 and 2–16% for cortical bone outcomes at the distal radius and tibia, respectively.

Conclusions

HR-pQCT precision errors were between 1 and 8% (LSC 3–21%) for trabecular bone outcomes and 1 and 11% (LSC 2–30%) for cortical bone outcomes at the radius and tibia in children. Cortical bone outcomes obtained using the advanced cortical evaluation appeared to have lower precision errors than cortical outcomes derived using the standard evaluation. These findings, combined with better-defined cortical bone contours with advanced cortical evaluation, indicate that metrics from advanced cortical evaluation should be utilized when monitoring cortical bone properties in children.

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References

  1. Kirmani S, Christen D, van Lenthe GH et al (2009) Bone structure at the distal radius during adolescent growth. J Bone Miner Res 24:1033–1042

    Article  PubMed  Google Scholar 

  2. Burrows M, Liu D, McKay H (2010) High-resolution peripheral QCT imaging of bone micro-structure in adolescents. Osteoporos Int 21:515–520

    Article  CAS  PubMed  Google Scholar 

  3. Burrows M, Liu D, Moore S, McKay H (2010) Bone microstructure at the distal tibia provides a strength advantage to males in late puberty: an HR-pQCT study. J Bone Miner Res 25:1423–1432

    PubMed  Google Scholar 

  4. Burrows M, Liu D, Perdios A, Moore S, Mulpuri K, McKay H (2010) Assessing bone microstructure at the distal radius in children and adolescents using HR-pQCT: a methodological pilot study. J Clin Densitom 13:451–455

    Article  PubMed  Google Scholar 

  5. Liu D, Burrows M, Egeli D, McKay H (2010) Site specificity of bone architecture between the distal radius and distal tibia in children and adolescents: an HR-pQCT study. Calcif Tissue Int 87:314–323

    Article  CAS  PubMed  Google Scholar 

  6. Wang Q, Wang XF, Iuliano-Burns S, Ghasem-Zadeh A, Zebaze R, Seeman E (2010) Rapid growth produces transient cortical weakness: a risk factor for metaphyseal fractures during puberty. J Bone Miner Res 25:1521–1526

    Article  PubMed  Google Scholar 

  7. Ackerman KE, Nazem T, Chapko D, Russell M, Mendes N, Taylor AP, Bouxsein ML, Misra M (2011) Bone microarchitecture is impaired in adolescent amenorrheic athletes compared with eumenorrheic athletes and nonathletic controls. J Clin Endocrinol Metab 96:3123–3133

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. McKay H, Liu D, Egeli D, Boyd S, Burrows M (2011) Physical activity positively predicts bone architecture and bone strength in adolescent males and females. Acta Paediatr 100:97–101

    Article  PubMed  Google Scholar 

  9. Chevalley T, Bonjour JP, van Rietbergen B, Ferrari S, Rizzoli R (2011) Fractures during childhood and adolescence in healthy boys: relation with bone mass, microstructure, and strength. J Clin Endocrinol Metab 96:3134–3142

    Article  CAS  PubMed  Google Scholar 

  10. Bacchetta J, Boutroy S, Vilayphiou N, Ranchin B, Fouque-Aubert A, Basmaison O, Cochat P (2011) Bone assessment in children with chronic kidney disease: data from two new bone imaging techniques in a single-center pilot study. Pediatr Nephrol 26:587–595

    Article  PubMed  Google Scholar 

  11. Nishiyama KK, Macdonald HM, Moore SA, Fung T, Boyd SK, McKay HA (2012) Cortical porosity is higher in boys compared with girls at the distal radius and distal tibia during pubertal growth: an HR-pQCT study. J Bone Miner Res 27:273–282

    Article  PubMed  Google Scholar 

  12. Kim S, Macdonald HM, Nettlefold L, McKay HA (2013) A comparison of bone quality at the distal radius between Asian and white adolescents and young adults: an HR-pQCT study. J Bone Miner Res 28:2035–2042

    Article  PubMed  Google Scholar 

  13. Yu WS, Chan KY, Yu FW, Yeung HY, Ng BK, Lee KM, Lam TP, Cheng JC (2013) Abnormal bone quality versus low bone mineral density in adolescent idiopathic scoliosis: a case-control study with in vivo high-resolution peripheral quantitative computed tomography. Spine J 13:1493–1499

    Article  PubMed  Google Scholar 

  14. Hoy CL, Macdonald HM, McKay HA (2013) How does bone quality differ between healthy-weight and overweight adolescents and young adults? Clin Orthop Relat Res 471:1214–1225

    Article  PubMed  Google Scholar 

  15. Farr JN, Amin S, Melton LJ 3rd, Kirmani S, McCready LK, Atkinson EJ, Muller R, Khosla S (2014) Bone strength and structural deficits in children and adolescents with a distal forearm fracture resulting from mild trauma. J Bone Miner Res 29:590–599

    Article  PubMed  PubMed Central  Google Scholar 

  16. Paggiosi MA, Eastell R, Walsh JS (2014) Precision of high-resolution peripheral quantitative computed tomography measurement variables: influence of gender, examination site, and age. Calcif Tissue Int 94:191–201

    Article  CAS  PubMed  Google Scholar 

  17. Chevalley T, Bonjour JP, van Rietbergen B, Ferrari S, Rizzoli R (2014) Tracking of environmental determinants of bone structure and strength development in healthy boys: an eight-year follow up study on the positive interaction between physical activity and protein intake from prepuberty to mid-late adolescence. J Bone Miner Res 29:2182–2192

    Article  CAS  PubMed  Google Scholar 

  18. Yu WS, Chan KY, Yu FW, Ng BK, Lee KM, Qin L, Lam TP, Cheng JC (2014) Bone structural and mechanical indices in adolescent idiopathic scoliosis evaluated by high-resolution peripheral quantitative computed tomography (HR-pQCT). Bone 61:109–115

    Article  PubMed  Google Scholar 

  19. Farr JN, Amin S, LeBrasseur NK, Atkinson EJ, Achenbach SJ, McCready LK, Joseph Melton L 3rd, Khosla S (2014) Body composition during childhood and adolescence: relations to bone strength and microstructure. J Clin Endocrinol Metab 99:4641–4648

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Dimitri P, Jacques RM, Paggiosi M, King D, Walsh J, Taylor ZA, Frangi AF, Bishop N, Eastell R (2015) Leptin may play a role in bone microstructural alterations in obese children. J Clin Endocrinol Metab 100:594–602

    Article  CAS  PubMed  Google Scholar 

  21. Maatta M, Macdonald HM, Mulpuri K, McKay HA (2015) Deficits in distal radius bone strength, density and microstructure are associated with forearm fractures in girls: an HR-pQCT study. Osteoporos Int 26:1163–1174

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Paupitz JA, Lima GL, Alvarenga JC, Oliveira RM, Bonfa E, Pereira RM (2016) Bone impairment assessed by HR-pQCT in juvenile-onset systemic lupus erythematosus. Osteoporos Int 27:1839–1848

  23. Cheung TF, Cheuk KY, Yu FW et al (2016) Prevalence of vitamin D insufficiency among adolescents and its correlation with bone parameters using high-resolution peripheral quantitative computed tomography. Osteoporos Int 27:2477–2488

    Article  CAS  PubMed  Google Scholar 

  24. Gabel L, Macdonald HM, McKay HA (2017) Sex differences and growth-related adaptations in bone microarchitecture, geometry, density, and strength from childhood to early adulthood: a mixed longitudinal HR-pQCT study. J Bone Miner Res 32:250–263

  25. Misra M, Ackerman KE, Bredella MA, Stanford FC, Faje AT, Nordberg A, Derrico NP, Bouxsein ML (2017) Racial differences in bone microarchitecture and estimated strength at the distal radius and distal tibia in older adolescent girls: a cross-sectional study. J Racial Ethn Health Disparities 4:587–598

  26. Wang ZW, Lee WY, Lam TP, Yip BH, Yu FW, Yu WS, Zhu F, Ng BK, Qiu Y, Cheng JC (2017) Defining the bone morphometry, micro-architecture and volumetric density profile in osteopenic vs non-osteopenic adolescent idiopathic scoliosis. Eur Spine J 26:1586–1594

  27. Fratzl-Zelman N, Roschger P, Misof BM, Pfeffer S, Glorieux FH, Klaushofer K, Rauch F (2009) Normative data on mineralization density distribution in iliac bone biopsies of children, adolescents and young adults. Bone 44:1043–1048

    Article  CAS  PubMed  Google Scholar 

  28. Glorieux FH, Travers R, Taylor A, Bowen JR, Rauch F, Norman M, Parfitt AM (2000) Normative data for iliac bone histomorphometry in growing children. Bone 26:103–109

    Article  CAS  PubMed  Google Scholar 

  29. Kontulainen SA, Kawalilak CE, Johnston JD, Bailey DA (2013) Prevention of osteoporosis and bone fragility: a pediatric concern. Am J Lifestyle Med 7:405–417

    Article  Google Scholar 

  30. Baim S, Leonard MB, Bianchi ML, Hans DB, Kalkwarf HJ, Langman CB, Rauch F (2007) Official positions of the International Society for Clinical Densitometry and executive summary of the 2007 ISCD Pediatric Position Development Conference. J Clin Densitom 11:6–21

    Article  Google Scholar 

  31. Kawalilak CE, Johnston JD, Olszynski WP, Leswick D, Kontulainen SA (2014) Comparison of short term in vivo precision of bone density and micro-architecture at the distal radius and tibia between postmenopausal women and young adults. J Clin Densitom 17:510–517

    Article  PubMed  Google Scholar 

  32. Bonaretti S, Majumdar S, Lang TF, Khosla S, Burghardt AJ (2017) The comparability of HR-pQCT bone measurements is improved by scanning anatomically standardized regions. Osteoporos Int 28:2115–2128

  33. Kawalilak CE, Johnston JD, Olszynski WP, Kontulainen SA (2014) Characterizing micro-architectural changes at the distal radius and tibia in postmenopausal women using HR-pQCT. Osteoporos Int 25:2057–2066

    Article  CAS  PubMed  Google Scholar 

  34. Pialat JB, Burghardt AJ, Sode M, Link TM, Majumdar S (2012) Visual grading of motion induced image degradation in high resolution peripheral computed tomography: impact of image quality on measures of bone density and micro-architecture. Bone 50:111–118

    Article  CAS  PubMed  Google Scholar 

  35. Kawalilak CE, Johnston JD, Cooper DM, Olszynski WP, Kontulainen SA (2016) Role of endocortical contouring methods on precision of HR-pQCT-derived cortical micro-architecture in postmenopausal women and young adults. Osteoporos Int 27:789–796

    Article  CAS  PubMed  Google Scholar 

  36. Laib A, Hauselmann HJ, Ruegsegger P (1998) In vivo high resolution 3D-QCT of the human forearm. Technol Health Care 6:329–337

    CAS  PubMed  Google Scholar 

  37. MacNeil JA, Boyd SK (2008) Improved reproducibility of high-resolution peripheral quantitative computed tomography for measurement of bone quality. Med Eng Phys 30:792–799

    Article  PubMed  Google Scholar 

  38. Burghardt AJ, Buie HR, Laib A, Majumdar S, Boyd SK (2010) Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. Bone 47:519–528

    Article  PubMed  PubMed Central  Google Scholar 

  39. Burghardt AJ, Kazakia GJ, Ramachandran S, Link TM, Majumdar S (2010) Age- and gender-related differences in the geometric properties and biomechanical significance of intracortical porosity in the distal radius and tibia. J Bone Miner Res 25:983–993

    Article  PubMed  Google Scholar 

  40. Glüer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK (1995) Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int 5:262–270

    Article  PubMed  Google Scholar 

  41. Glüer CC (1999) Monitoring skeletal changes by radiological techniques. J Bone Miner Res 14:1952–1962

    Article  PubMed  Google Scholar 

  42. Engelke K, Adams JE, Armbrecht G et al (2008) Clinical use of quantitative computed tomography and peripheral quantitative computed tomography in the management of osteoporosis in adults: the 2007 ISCD Official Positions. J Clin Densitom 11:123–162

    Article  PubMed  Google Scholar 

  43. Bonnick SL, Johnston CC, Kleerekoper M, Lindsay R, Miller P, Sherwood L, Siris E (2001) Importance of precision in bone density measurements. J Clin Densitom 4:105–110

    Article  CAS  PubMed  Google Scholar 

  44. Kawalilak CE, Johnston JD, Olszynski WP, Kontulainen SA (2015) Least significant changes and monitoring time intervals for high-resoltuion pQCT-derived bone outcomes in postmenopausal women. J Musculoskelet Neuronal Interact 15:190–196

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Swinford RR, Warden SJ (2010) Factors affecting short-term precision of musculoskeletal measures using peripheral quantitative computed tomography (pQCT). Osteoporos Int 21:1863–1870

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We would like to thank all our participants for their altruism and volunteering for the study. CE Kawalilak acknowledges the Saskatchewan Health and Research Foundation (SHRF) and the Canadian Institute for Health Research (CIHR) for her post-doctoral fellowship funding. This work was supported in part by grants from CIHR Regional Partnership Program New Investigator Award (SK) and University of Saskatchewan CIHR Bridge funding.

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Correspondence to S. A. Kontulainen.

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Parents provided consent to study participation and children provided their assent prior to the study. This study was approved by the University of Saskatchewan Biomedical Research Ethics Board.

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Kawalilak, C.E., Bunyamin, A.T., Björkman, K.M. et al. Precision of bone density and micro-architectural properties at the distal radius and tibia in children: an HR-pQCT study. Osteoporos Int 28, 3189–3197 (2017). https://doi.org/10.1007/s00198-017-4185-y

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  • DOI: https://doi.org/10.1007/s00198-017-4185-y

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