Skip to main content
Log in

Detection of Active Sacroiliitis with Ankylosing Spondylitis through Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging

  • Musculoskeletal
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To confirm feasibility and assess intravoxel incoherent motion (IVIM) to differentiate active sacroiliitis and ankylosing spondylitis..

Methods

Forty-one patients were divided into two groups, an active group (n = 20) and a chronic group (n = 21), according to the Bath Ankylosing Spondylitis (AS) Disease Activity Index (BASDAI) and laboratory parameters. In addition, 21 healthy volunteers were chosen as the control group. Tissue diffusivity (Dslow), perfusion fraction (f), and pseudo-diffusion coefficient (Dfast) values were obtained for all three groups. One-way analysis of variance and receiver operating characteristic analysis were performed for all parameters.

Results

There was good interobserver agreement on the measurements between the two observers. The optimal cut-off values (with respective AUC, sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio) between active and chronic groups were Dslow = 0.53 × 10−3 mm2/s (0.976, 90 %, 95.2 %, 18.9, 0.10) and f = 0.09 (0.545, 20 %, 95.5 %, 4.2, 0.84), and between chronic and control groups were Dslow = 0.22 × 10−3 mm2/s (0.517, 9.52 %, 100 %, no number, 0.9) and f = 0.09 (0.935, 95.24 %, 80.95 %, 5, 0.059).

Conclusion

Dslow and f of IVIM diffusion-weighted (DW)-MRI in AS show a significant difference in the values of diffusion of water molecules and fractional perfusion-related volume among the three groups.

Key Points

D slow can be used to differentiate the activity of AS.

With perfusion fraction, the sensitivity of differentiating the AS activity is improved.

IVIM DWI plays an important role in detecting the activity in patients with AS.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Abbreviations

AS:

Ankylosing spondylitis

AUC:

Area under the curve

Dslow :

Pure diffusion

Dfast :

Pseudo diffusion coefficient

F:

Perfusion fraction

DWI:

Diffusion-weighted imaging

ADC:

Apparent diffusion coefficient

IVIM:

Intravoxel incoherent motion

ROC:

Receiver operating characteristic

ROI:

Region of interest

SDS:

Standard deviation

SNR:

Signal-to-noise ratio

DCE-MRI:

Dynamic contrast-enhanced MR imaging

SPIR:

Spectral presaturation inversion recovery

PDW-SPAIR:

Proton density-weighted spectral presaturation attenuated inversion recovery

STIR:

Short tau inversion recovery

TR/TE:

Repetition time/echo

TSE:

Turbo spin echo

FSE:

Fast spin echo

FS:

Fat suppression

ESR:

Erythrocyte sedimentation rate

CRP:

C-reactive protein

MRI:

Magnetic resonance imaging

References

  1. Braun J, Bollow M, Sieper J (1998) Radiologic diagnosis and pathology of the spondyloarthropathies. Rheum Dis Clin N Am 24:697–735

    Article  CAS  Google Scholar 

  2. Braun J, Baraliakos X, Godolias G, Böhm H (2005) Therapy of ankylosing spondylitis – a review Part I: Conventional medical treatment and surgical therapy. Scand J Rheumatol 34:97–108

    Article  CAS  PubMed  Google Scholar 

  3. Braun J, Baraliakos X, Brandt J et al (2005) Persistent clinical response to the anti-TNF-alpha antibody infliximab in patients with ankylosing spondylitis over 3 years. Rheumatology 44:670–676

    Article  CAS  PubMed  Google Scholar 

  4. Rudwaleit M, Metter A, Listing J, Sieper J, Braun J (2006) Inflammatory back pain in ankylosing spondylitis: a reassessment of the clinical history for application as classification and diagnostic criteria. Arthritis Rheum 54:569–578

    Article  PubMed  Google Scholar 

  5. Spoorenberg A, van der Heijde D, de Klerk E et al (1999) Relative value of erythrocyte sedimentation rate and C-reactive protein in assessment of disease activity in ankylosing spondylitis. J Rheumatol 26:980–984

    CAS  PubMed  Google Scholar 

  6. Sheehan NJ, Slavin BM, Donovan MP, Mount JN, Mathews JA (1986) Lack of correlation between clinical disease activity and erythrocyte sedimentation rate, acute phase proteins or protease inhibitors in ankylosing spondylitis. Br J Rheumatol 25:171–174

    Article  CAS  PubMed  Google Scholar 

  7. Zochling J, Braun J, van der Heijde D (2006) Assessments in ankylosing spondylitis. Best Pract Res Clin Rheumatol 20:521–537

    Article  PubMed  Google Scholar 

  8. Althoff CE, Feist E, Burova E et al (2009) Magnetic resonance imaging of active sacroiliitis: do we really need gadolinium? Eur J Radiol 71:232–236

    Article  PubMed  Google Scholar 

  9. Gaspersic N, Sersa I, Jevtic V, Tomsic M, Praprotnik S (2008) Monitoring ankylosing spondylitis therapy by dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging. Skelet Radiol 37:123–131

    Article  Google Scholar 

  10. Weber U, Hodler J, Jurik AG et al (2010) Assessment of active spinal inflammatory changes in patients with axial spondyloarthritis: validation of whole body MRI against conventional MRI. Ann Rheum Dis 69:648–653

    Article  PubMed  Google Scholar 

  11. Braun J, Bollow M, Eggens U et al (1994) Use of dynamic magnetic resonance imaging with fast imaging in the detection of early and advanced sacroiliitis in spondylarthropathy patients. Arthritis Rheum 37:1039–1045

    Article  CAS  PubMed  Google Scholar 

  12. Dallaudiere B, Dautry R, Preux PM et al (2014) Comparison of apparent diffusion coefficient in spondylarthritis axial active inflammatory lesions and type 1 Modic changes. Eur J Radiol 83:366–370

    Article  PubMed  Google Scholar 

  13. Le Bihan D, Breton E, Lallemand D et al (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407

    Article  PubMed  Google Scholar 

  14. Le Bihan D, Turner R, MacFall JR (1989) Effects of intravoxel incoherent motions (IVIM) in steady-state free precession (SSFP) imaging: application to molecular diffusion imaging. Magn Reson Med: Off J Soc Magn Reson Med / Soc Magn Reson Med 10:324–337

    Article  Google Scholar 

  15. Patel J, Sigmund EE, Rusinek H et al (2010) Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience. J Magn Reson Imaging: JMRI 31:589–600

    Article  PubMed  Google Scholar 

  16. Kang KM, Lee JM, Yoon JH , et al (20130 Intravoxel Incoherent Motion Diffusion-weighted MR Imaging for Characterization of Focal Pancreatic Lesions. Radiology

  17. Tosun M, Inan N, Sarisoy HT , et al (2012) Diagnostic performance of conventional diffusion weighted imaging and diffusion tensor imaging for the liver fibrosis and inflammation. European journal of radiology

  18. Cece H, Gundogan M, Karakas O , et al (2012) The role of diffusion-weighted magnetic resonance imaging in the classification of hepatic hydatid cysts. European journal of radiology

  19. Luciani A, Vignaud A, Cavet M et al (2008) Liver Cirrhosis. Intravoxel Incoherent Motion MR Imaging—Pilot Study1 249:891–899

    Google Scholar 

  20. Chung HY, Lau CS, Wu KP, Wong WS, Mok MY (2011) Comparison of performance of the Assessment of SpondyloArthritis International Society, the European Spondyloarthropathy Study Group and the modified New York criteria in a cohort of Chinese patients with spondyloarthritis. Clin Rheumatol 30:947–953

    Article  PubMed Central  PubMed  Google Scholar 

  21. Garrett S, Jenkinson T, Kennedy LG et al (1994) A new approach to defining disease status in ankylosing spondylitis: the Bath Ankylosing Spondylitis Disease Activity Index. J Rheumatol 21:2286–2291

    CAS  PubMed  Google Scholar 

  22. Khoo MM, Tyler PA, Saifuddin A, Padhani AR (2011) Diffusion-weighted imaging (DWI) in musculoskeletal MRI: a critical review. Skelet Radiol 40:665–681

    Article  Google Scholar 

  23. Thoeny HC, Zumstein D, Simon-Zoula S et al (2006) Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience. Radiology 241:812–821

    Article  PubMed  Google Scholar 

  24. Van Tubergen A, Debats I, Ryser L et al (2002) Use of a numerical rating scale as an answer modality in ankylosing spondylitis-specific questionnaires. Arthritis Rheum 47:242–248

    Article  PubMed  Google Scholar 

  25. Spoorenberg A, van Tubergen A, Landewe R et al (2005) Measuring disease activity in ankylosing spondylitis: patient and physician have different perspectives. Rheumatology 44:789–795

    Article  CAS  PubMed  Google Scholar 

  26. Rudwaleit M, Baraliakos X, Listing J et al (2005) Magnetic resonance imaging of the spine and the sacroiliac joints in ankylosing spondylitis and undifferentiated spondyloarthritis during treatment with etanercept. Ann Rheum Dis 64:1305–1310

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  27. Braun J, Baraliakos X, Golder W et al (2004) Analysing chronic spinal changes in ankylosing spondylitis: a systematic comparison of conventional x rays with magnetic resonance imaging using established and new scoring systems. Ann Rheum Dis 63:1046–1055

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  28. Provenzale JM, Mukundan S, Barboriak DP (2006) Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology 239:632–649

    Article  PubMed  Google Scholar 

  29. Fischer M, Bockhorst K, Hoehn-Berlage M, Schmitz B, Hossmann KA (1995) Imaging of the apparent diffusion coefficient for the evaluation of cerebral metabolic recovery after cardiac arrest. Magn Reson Imaging 13:781–790

    Article  CAS  PubMed  Google Scholar 

  30. Koh DM, Collins DJ, Orton MR (2011) Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. AJR Am J Roentgenol 196:1351–1361

    Article  PubMed  Google Scholar 

  31. Dixon WT (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging: a modest proposal with tremendous potential. Radiology 168:566–567

    Article  CAS  PubMed  Google Scholar 

  32. Lemke A, Stieltjes B, Schad LR, Laun FB (2011) Toward an optimal distribution of b values for intravoxel incoherent motion imaging. Magn Reson Imaging 29:766–776

    Article  PubMed  Google Scholar 

  33. Bozgeyik Z, Ozgocmen S, Kocakoc E (2008) Role of diffusion-weighted MRI in the detection of early active sacroiliitis. AJR Am J Roentgenol 191:980–986

    Article  PubMed  Google Scholar 

  34. Lai V, Li X, Lee VH et al (2014) Nasopharyngeal carcinoma: comparison of diffusion and perfusion characteristics between different tumour stages using intravoxel incoherent motion MR imaging. Eur Radiol 24:176–183

    Article  PubMed  Google Scholar 

  35. Dawson KL, Moore SG, Rowland JM (1992) Age-related marrow changes in the pelvis: MR and anatomic findings. Radiology 183:47–51

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The scientific guarantor of this publication is Changhong Liang. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. This study has received funding by the National Scientific Foundation of China (No. 81271569, U1301258 and 81271654) and the Medical Scientific Foundation of Guangzhou city, Guangdong Province, China (No. 20121A011181). One of the authors has significant statistical expertise. Institutional review board approval was obtained. Written informed consent was obtained from all subjects (patients) in this study. Methodology: prospective, case-control study, multicenter study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chang-hong Liang.

Additional information

Ying-hua Zhao and Shao-lin Li contributed equally to this article.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, Yh., Li, Sl., Liu, Zy. et al. Detection of Active Sacroiliitis with Ankylosing Spondylitis through Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging. Eur Radiol 25, 2754–2763 (2015). https://doi.org/10.1007/s00330-015-3634-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-015-3634-2

Keywords

Navigation