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Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT

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Abstract

Introduction

An advanced method of analyzing the cortical bone microarchitecture of the distal radius using high-resolution peripheral quantitative computed tomography (HR-pQCT) was developed.

Materials and methods

The subjects were 60 women (20: aged 30–49, 20: aged 50–69, and 20: aged 70–89 years). The distal radius was scanned by HR-pQCT, and its cortical volumetric bone mineral density (Ct.vBMD), cortical porosity (Ct.Po), and cortical thickness (Ct.Th) were measured. The cortical bone was also divided into three areas according to whether its thickness was < 0.5 mm, 0.5–1.0 mm, or > 1.0 mm, and the percentage of each surface area in the total surface area of cortical bone was calculated (Ct.Th (<0.5), Ct.Th (0.5–1.0), Ct.Th (>1.0), respectively). The cortical bone at the distal radius was further segmented into dorsal, palmar, radial, and ulnar sides, and the above-described parameters were measured in these regions.

Results

Integral analysis showed that Ct.vBMD and Ct.Th decreased and Ct.Po increased with age (R = − 0.62, − 0.55, and 0.54). Ct.Th (< 0.5) expanded with age (R = 0.49), with the rate of change between those aged 30–49 years and those aged 50–69 years being 106.7%. On regional analysis, the expansion of Ct.Th (< 0.5) with age was particularly marked on the dorsal and palmar side (R = 0.51 and 0.49), where the rate of change between those aged 30–49 years and those aged 50–69 years was the highest, at 196.1 and 149.6%.

Conclusion

The method to identify areas of cortical bone thinning in the segmented regions of the dorsal, palmar, radial, and ulnar sides of the distal radius using HR-pQCT may offer a sensitive assessment of age-related deterioration of cortical bone.

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References

  1. Burge R et al (2007) Incidence and economic burden of osteoporosis-related fractures in the United States, 2005–2025. J Bone Miner Res 22:465–475

    Article  PubMed  Google Scholar 

  2. Sakuma M, Endo N, Oinuma T, Miyasaka D et al (2014) Incidence of osteoporotic fractures in Sado, Japan in 2010. J Bone Miner Metab 32:200–205

    Article  PubMed  Google Scholar 

  3. Sontag A, Krege JH (2010) First fractures among postmenopausal women with osteoporosis. J Bone Miner Metab 28:485–488

    Article  CAS  PubMed  Google Scholar 

  4. Court-Brown CM, Caesar B (2006) Epidemiology of adult fractures: a review. Injury 37:691–697

    Article  PubMed  Google Scholar 

  5. Burghardt AJ, Link TM, Majumdar S (2011) High-resolution computed tomography for clinical imaging of bone microarchitecture. Clin Orthop Relat Res 469:2179–2193

    Article  PubMed  PubMed Central  Google Scholar 

  6. Cheung AM, Adachi JD, Hanley DA, Kendler DL, Davison KS, Josse R, Brown JP, Ste-Marie L-G, Kremer R, Erlandson MC, Dian L, Burghardt AJ, Boyd SK (2013) High-resolution peripheral quantitative computed tomography for the assessment of bone strength and structure: a review by the Canadian Bone Strength Working Group. Curr Osteoporos Rep 11:136–146

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nishiyama KK, Shane E (2013) Clinical imaging of bone microarchitecture with HR-pQCT. Curr Osteoporos Rep 11:147–155

    Article  PubMed  PubMed Central  Google Scholar 

  8. Manske SL, Zhu Y, Sandino C, Boyd SK (2015) Human trabecular bone microarchitecture can be assessed independently of density with second generation HR-pQCT. Bone 79:213–221

    Article  CAS  PubMed  Google Scholar 

  9. Chiba K, Okazaki N, Kurogi A, Isobe Y, Yonekura A, Tomita M, Osaki M (2018) Precision of second-generation high-resolution peripheral quantitative computed tomography: intra- and intertester reproducibilities and factors involved in the reproducibility of cortical porosity. J Clin Densitom 21:295–302

    Article  PubMed  Google Scholar 

  10. Chiba K, Okazaki N, Isobe Y, Miyazaki S, Yonekura A, Tomita M, Osaki M (2021) Precision of 3d registration analysis for longitudinal study of second-generation HR-pQCT. J Clin Densitom 24:319–329

    Article  PubMed  Google Scholar 

  11. Yokota K, Chiba K, Okazaki N, Kondo C, Doi M, Yamada S, Era M, Nishino Y, Yonekura A, Tomita M, Osaki M (2020) Deterioration of bone microstructure by aging and menopause in Japanese healthy women: analysis by HR-pQCT. J Bone Miner Metab 38:826–838

    Article  PubMed  Google Scholar 

  12. 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 (Springer London)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Whittier DE, Boyd SK, Burghardt AJ, Paccou J, Ghasem-Zadeh A, Chapurlat R, Engelke K, Bouxsein ML (2020) Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography. Osteoporos Int 31:1607–1627

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sode M, Burghardt AJ, Pialat J-B, Link TM, Majumdar S (2011) Quantitative characterization of subject motion in HR-pQCT images of the distal radius and tibia. Bone 48:1291–1297

    Article  PubMed  PubMed Central  Google Scholar 

  15. Pialat JB, Burghardt AJ, Sode M, Link TM, Majumdar S (2011) 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  PubMed  Google Scholar 

  16. 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

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hildebrand T, Rüegsegger P (1997) A new method for the model-independent assessment of thickness in three-dimensional images. J Microsc 185:67–75

    Article  Google Scholar 

  18. Carballido-Gamio J, Bonaretti S, Kazakia GJ, Khosla S, Majumdar S, Lang TF, Burghardt AJ (2017) Statistical parametric mapping of hr-pQCT images: a tool for population-based local comparisons of micro-scale bone features. Ann Biomed Eng 45:949–962

    Article  PubMed  Google Scholar 

  19. Sode M, Burghardt AJ, Kazakia GJ, Link TM, Majumdar S (2010) Regional variations of gender-specific and age-related differences in trabecular bone structure of the distal radius and tibia. Bone 46:1652–1660

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kazakia GJ, Nirody AN, Bernstein G, Sode M, Burghardt AJ, Majumdar S (2012) Age- and gender-related differences in cortical geometry and microstructure: improved sensitivity by regional analysis. Bone 52:623–631

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

Authors

Contributions

Study design: KC; data acquisition: SO and NO; data analysis: SO and KC; data management: SO; statistical analysis: SO; data interpretation: SO, KC, AY, MT, and MO; drafting of the manuscript: SO and KC; revision of the manuscript content: KC and MO; approval of the final version of the manuscript: SO, KC, NO, AY, MT, and MO.

Corresponding author

Correspondence to Ko Chiba.

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Nagasaki University Hospital Clinical Research Ethics Committee (registration numbers: 15083105).

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Ota, S., Chiba, K., Okazaki, N. et al. Cortical thickness mapping at segmented regions in the distal radius using HR-pQCT. J Bone Miner Metab 40, 1021–1032 (2022). https://doi.org/10.1007/s00774-022-01370-2

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  • DOI: https://doi.org/10.1007/s00774-022-01370-2

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