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Computer-based quantification of the Achilles tendon thickness in sequential B-mode ultrasound images: a study of feasibility and reliability

  • Arthroscopy and Sports Medicine
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Archives of Orthopaedic and Trauma Surgery Aims and scope Submit manuscript

Abstract

Introduction

Assessment of the Achilles tendon thickness (ATT) using B-mode ultrasound is a common technique for clinical evaluation of chronic mid-part tendinosis. Currently used image-based assessment is limited by relatively high inter- and intra-observer variability. In this study, it was tested whether a new sequence-based automated assessment of ATT provides more reliable and reproducible results than the standard image-based procedure.

Materials and methods

A total of 118 non-operated tendons of 59 healthy subjects (44, range 28–50 years) were analysed using an automated image based as well as a newly developed automated sequence-based method. Correlation and agreement of both methods were evaluated. The root mean square deviation (RMSD) and a Bland–Altman analysis were performed to highlight observer (n = 18 tendons) as well as reader (n = 40 tendons) dependent variabilities of both methods.

Results

A strong correlation was found between image and sequence-based ATT assessment (p = 0.92). The Bland–Altman analysis showed a good agreement between both methods (mean difference 0.0018, 95 % CI: −0.046; 0.05). In repetitive examinations, sequence-based analysis showed a significant reduction concerning reader- and observer-dependent variability compared to image-based assessment. The RMSD for repetitive sequence-based measurements was approximately 0.3 mm (compared to 0.6 mm for image-based measurement), respectively.

Conclusions

The study shows sequence-based automated assessment of ATT being clearly superior to the standard image-based procedure. The new method provides a clear reduction of reader as well as observer-dependent variability. Due to the decreased scattering of measurement data sequence-based measurement seems especially valuable for quantification of small tendon thickness changes such as exercise-induced hypertrophy.

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References

  1. Paavola M, Kannus P, Jarvinen TA, Khan K, Jozsa L, Jarvinen M (2002) Achilles tendinopathy. J Bone Joint Surg Am 84-A(11):2062–2076

    PubMed  Google Scholar 

  2. Schepsis AA, Jones H, Haas AL (2002) Achilles tendon disorders in athletes. Am J Sports Med 30:287–305

    PubMed  Google Scholar 

  3. Khan KM, Forster BB, Robinson J et al (2003) Are ultrasound and magnetic resonance imaging of value in assessment of Achilles tendon disorders? a two year prospective study. Br J Sports Med 37:149–153

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  4. Leung JL, Griffith JF (2008) Sonography of chronic Achilles tendinopathy: a case–control study. J Clin Ultrasound 36:27–32

    Article  PubMed  Google Scholar 

  5. Martinoli C, Derchi LE, Pastorino C, Bertolotto M, Silvestri E (1993) Analysis of echotexture of tendons with US. Radiology 186:839–843

    Article  PubMed  CAS  Google Scholar 

  6. Dillehay GL, Deschler T, Rogers LF, Neiman HL, Hendrix RW (1984) The ultrasonographic characterization of tendons. Invest Radiol 19:338–341

    Article  PubMed  CAS  Google Scholar 

  7. Fornage BD, Rifkin MD (1988) Ultrasound examination of tendons. Radiol Clin North Am 26:87–107

    PubMed  CAS  Google Scholar 

  8. Paavola M, Paakkala T, Kannus P, Jarvinen M (1998) Ultrasonography in the differential diagnosis of Achilles tendon injuries and related disorders. a comparison between pre-operative ultrasonography and surgical findings. Acta Radiol 39:612–619

    Article  PubMed  CAS  Google Scholar 

  9. Alfredson H, Zeisig E, Fahlstrom M (2009) No normalisation of the tendon structure and thickness after intratendinous surgery for chronic painful midportion Achilles tendinosis. Br J Sports Med 43:948–949

    Article  PubMed  CAS  Google Scholar 

  10. Fredberg U, Bolvig L, Andersen NT (2008) Prophylactic training in asymptomatic soccer players with ultrasonographic abnormalities in Achilles and patellar tendons: the Danish Super League Study. Am J Sports Med 36:451–460

    Article  PubMed  Google Scholar 

  11. Fredberg U, Bolvig L, Andersen NT, Stengaard-Pedersen K (2008) Ultrasonography in evaluation of Achilles and patella tendon thickness. Ultraschall Med 29:60–65

    Article  PubMed  CAS  Google Scholar 

  12. Syha R, Peters M, Birnesser H et al (2007) Computer-based quantification of the mean Achilles tendon thickness in ultrasound images: effect of tendinosis. Br J Sports Med 41:897–902

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. Tsouli SG, Xydis V, Argyropoulou MI, Tselepis AD, Elisaf M, Kiortsis DN (2009) Regression of Achilles tendon thickness after statin treatment in patients with familial hypercholesterolemia: an ultrasonographic study. Atherosclerosis 205:151–155

    Article  PubMed  CAS  Google Scholar 

  14. Brushoj C, Henriksen BM, Albrecht-Beste E, Holmich P, Larsen K, Bachmann Nielsen M (2006) Reproducibility of ultrasound and magnetic resonance imaging measurements of tendon size. Acta Radiol 47:954–959

    Article  PubMed  CAS  Google Scholar 

  15. Schmidt WA, Schmidt H, Schicke B, Gromnica-Ihle E (2004) Standard reference values for musculoskeletal ultrasonography. Ann Rheum Dis 963:988–994

    Article  Google Scholar 

  16. Tesch C, Friemert B, Huhnholz J, Wening JV (2008) Significance of sonography in traumatology and orthopedics: part 1: ultrasonography of the musculoskeletal system. Unfallchirurg 111:659–669

    Article  PubMed  CAS  Google Scholar 

  17. Dong Q, Fessell DP (2009) Achilles tendon ultrasound technique. AJR Am J Roentgenol 193:W173

    Article  PubMed  Google Scholar 

  18. Cheng DCS-TA, Cheng KS, Burkhardt H (2002) Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images. Comput Methods Programs Biomed 67:27–37

    Article  PubMed  Google Scholar 

  19. Schmidt-Trucksass A, Cheng DC, Sandrock M et al (2001) Computerized analysing system using the active contour in ultrasound measurement of carotid artery intima-media thickness. Clin Physiol 21:561–569

    Article  PubMed  CAS  Google Scholar 

  20. Stiskal M, Szolar DH, Stenzel I et al (1997) Magnetic resonance imaging of Achilles tendon in patients with rheumatoid arthritis. Invest Radiol 32:602–608

    Article  PubMed  CAS  Google Scholar 

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Syha, R., Grau, S., Nieß, A.M. et al. Computer-based quantification of the Achilles tendon thickness in sequential B-mode ultrasound images: a study of feasibility and reliability. Arch Orthop Trauma Surg 134, 1443–1449 (2014). https://doi.org/10.1007/s00402-014-2043-3

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  • DOI: https://doi.org/10.1007/s00402-014-2043-3

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