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European Radiology
Erschienen in:

24.07.2024 | Musculoskeletal

T2* cartilage mapping in early axial spondyloarthritis: diagnostic accuracy and correlation with clinical characteristics, sacroiliitis MRI scorings, and diffusion metrics

verfasst von: Hongjie Huang, Feifei Zhuang, Xi Liu, Keyi Wu, Feng Wang, Xiance Zhao, Yuyang Zhang, Dairong Cao

Erschienen in: European Radiology | Ausgabe 2/2025

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Abstract

Purpose

To determine the performance of T2* cartilage mapping in diagnosing and assessing disease activity in early axial spondyloarthritis (axSpA), and to investigate the interaction of cartilage damage with clinical characteristics, sacroiliitis MRI scorings, and diffusion metrics.

Materials and methods

This prospective study included 83 axSpA patients and 37 no-axSpA patients. Clinical characteristics, the Assessment of SpondyloArthritis International Society-defined active sacroiliitis on MRI, and T2* SIJs values were recorded. In axSpA, disease activity was evaluated using the ankylosing spondylitis disease activity score-C-reactive protein; active sacroiliitis was evaluated using Spondyloarthritis Research Consortium of Canada, intravoxel incoherent motion, and diffusion kurtosis imaging; chronic sacroiliitis was assessed using composite structural damage score (CSDS) and structural score fat. Mann–Whitney U-test, Kruskal–Wallis test with false discovery rate (FDR), ROC curve, and linear regression were used for statistical analysis.

Results

AxSpA patients had significantly higher T2*SIJs values than no-axSpA patients. (22.86 ± 2.42 ms vs 20.36 ± 1.30 ms, p < 0.001). The combination of T2*SIJs values and active sacroiliitis on MRI had the highest AUC for identifying axSpA. T2*SIJs values were significantly different between the inactive and very high, moderate and very high, high and very high, as well as inactive and high disease activity groups (all pFDR < 0.05). Dk (β = 0.48) and CSDS (β = 0.48) were independently associated with T2*SIJs values.

Conclusion

T2* values may be a promising biomarker for diagnosing and differentiating disease activity in early axSpA. Both acute and chronic sacroiliitis influence cartilage properties.

Clinical relevance statement

Sacroiliac joint cartilage abnormalities can be quantified with T2* relaxation time and allow better characterization of early axSpA.

Key Points

  • T2* mapping may have value in evaluating axSpA.
  • The combination of T2* values and active sacroiliitis on MRI enhances diagnostic performance for axSpA.
  • Abnormalities measured with T2* values correlate with disease activity, acute sacroiliitis, and degree of structural damage.
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Literatur
1.
Lambert RG, Bakker PA, van der Heijde D (2016) Defining active sacroiliitis on MRI for classification of axial spondyloarthritis: update by the ASAS MRI working group. Ann Rheum Dis 75:1958–1963CrossRefPubMed
2.
Diekhoff T, Lambert R, Hermann KG (2022) MRI in axial spondyloarthritis: understanding an ‘ASAS-positive MRI’ and the ASAS classification criteria. Skeletal Radiol 51:1721–1730CrossRefPubMedPubMedCentral
3.
Carneiro BC, Rizzetto TA, Silva FD et al (2022) Sacroiliac joint beyond sacroiliitis-further insights and old concepts on magnetic resonance imaging. Skeletal Radiol 51:1923–1935CrossRefPubMed
4.
Kim TH, Stone M, Payne U et al (2005) Cartilage biomarkers in ankylosing spondylitis: relationship to clinical variables and treatment response. Arthritis Rheum 52:885–891CrossRefPubMed
5.
Reveille JD (2015) Biomarkers for diagnosis, monitoring of progression, and treatment responses in ankylosing spondylitis and axial spondyloarthritis. Clin Rheumatol 34:1009–1018CrossRefPubMedPubMedCentral
6.
Quaden DH, De Winter LM, Somers V (2016) Detection of novel diagnostic antibodies in ankylosing spondylitis: an overview. Autoimmun Rev 15:820–832CrossRefPubMed
7.
Lefebvre G, Bergère A, Rafei ME, Duhamel A, Teixeira P, Cotten A (2017) T2 Mapping of the sacroiliac joints with 3-T MRI: a preliminary study. AJR Am J Roentgenol 209:389–394CrossRefPubMed
8.
Albano D, Chianca V, Cuocolo R et al (2018) T2-mapping of the sacroiliac joints at 1.5 Tesla: a feasibility and reproducibility study. Skeletal Radiol 47:1691–1696CrossRefPubMed
9.
Albano D, Bignone R, Chianca V et al (2020) T2 mapping of the sacroiliac joints in patients with axial spondyloarthritis. Eur J Radiol 131:109246CrossRefPubMed
10.
Kasar S, Ozturk M, Polat AV (2022) Quantitative T2 mapping of the sacroiliac joint cartilage at 3T in patients with axial spondyloarthropathies. Eur Radiol 32:1395–1403CrossRefPubMed
11.
Andreisek G, Weiger M (2014) T2* mapping of articular cartilage: current status of research and first clinical applications. Invest Radiol 49:57–62CrossRefPubMed
12.
Hu Y, Zhang Y, Li Q et al (2021) Magnetic resonance imaging T2* mapping of the talar dome and subtalar joint cartilage 3 years after anterior talofibular ligament repair or reconstruction in chronic lateral ankle instability. Am J Sports Med 49:737–746CrossRefPubMed
13.
Wong TT, Quarterman P, Duong P et al (2021) A pilot study on feasibility of ultrashort echo time T2* cartilage mapping in the sacroiliac joints. J Comput Assist Tomogr 45:717–721CrossRefPubMed
14.
Xiao Z, Tang Z, Zheng C, Luo J, Zhao K, Zhang Z (2020) Diffusion kurtosis imaging and intravoxel incoherent motion in differentiating nasal malignancies. Laryngoscope 130:E727–E735CrossRefPubMed
15.
Wang F, Chu C, Zhao C et al (2019) Diffusion kurtosis imaging in sacroiliitis to evaluate the activity of ankylosing spondylitis. J Magn Reson Imaging 49:101–108CrossRefPubMed
16.
Ren C, Zhu Q, Yuan H (2018) Mono-exponential and bi-exponential model-based diffusion-weighted MR imaging and IDEAL-IQ sequence for quantitative evaluation of sacroiliitis in patients with ankylosing spondylitis. Clin Rheumatol 37:3069–3076CrossRefPubMed
17.
Navarro-Compán V, Benavent D, Capelusnik D et al (2023) ASAS consensus definition of early axial spondyloarthritis. Ann Rheum Dis 15:ard-2023–224232
18.
Rudwaleit M, van der Heijde D, Landewe R et al (2009) The development of Assessment of SpondyloArthritis International Society classification criteria for axial spondyloarthritis (part II): validation and final selection. Ann Rheum Dis 68:777–783CrossRefPubMed
19.
van der Heijde D, Lie E, Kvien TK et al (2009) ASDAS, a highly discriminatory ASAS-endorsed disease activity score in patients with ankylosing spondylitis. Ann Rheum Dis 68:1811–1818CrossRefPubMed
20.
Machado P, Navarro-Compán V, Landewé R, van Gaalen FA, Roux C, van der Heijde D (2015) Calculating the ankylosing spondylitis disease activity score if the conventional C-reactive protein level is below the limit of detection or if high-sensitivity C-reactive protein is used: an analysis in the DESIR cohort. Arthritis Rheumatol 67:408–413CrossRefPubMed
21.
Maksymowych WP, Inman RD, Salonen D et al (2005) Spondyloarthritis research Consortium of Canada magnetic resonance imaging index for assessment of sacroiliac joint inflammation in ankylosing spondylitis. Arthritis Rheum 53:703–709CrossRefPubMed
22.
Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168:497–505CrossRefPubMed
23.
Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440CrossRefPubMed
24.
Maksymowych WP, Wichuk S, Chiowchanwisawakit P, Lambert RG, Pedersen SJ (2015) Development and preliminary validation of the spondyloarthritis research consortium of canada magnetic resonance imaging sacroiliac joint structural score. J Rheumatol 42:79–86CrossRefPubMed
25.
Wetterslev M, Østergaard M, Sørensen IJ et al (2021) Development and validation of 3 preliminary MRI sacroiliac joint composite structural damage scores in a 5-year longitudinal axial spondyloarthritis study. J Rheumatol 48:1537–1546CrossRefPubMed
26.
Van Ginckel A, De Mits S, Bennell KL, Bryant AL, Witvrouw EE (2016) T2* mapping of subtalar cartilage: precision and association between anatomical variants and cartilage composition. J Orthop Res 34:1969–1976CrossRefPubMed
27.
Buchbender C, Scherer A, Kröpil P et al (2012) Cartilage quality in rheumatoid arthritis: comparison of T2* mapping, native T1 mapping, dGEMRIC, ΔR1 and value of pre-contrast imaging. Skeletal Radiol 41:685–692CrossRefPubMed
28.
Zeng F, Zha Y, Li L et al (2019) A comparative study of diffusion kurtosis imaging and T2* mapping in quantitative detection of lumbar intervertebral disk degeneration. Eur Spine J 28:2169–2178CrossRefPubMed
29.
Cansu DU, Calışır C, Savaş Yavaş U, Kaşifoğlu T, Korkmaz C (2011) Predictors of radiographic severity and functional disability in Turkish patients with ankylosing spondylitis. Clin Rheumatol 30:557–562CrossRefPubMed
30.
Almodóvar R, Ríos V, Ocaña S et al (2014) Association of biomarkers of inflammation, cartilage and bone turnover with gender, disease activity, radiological damage and sacroiliitis by magnetic resonance imaging in patients with early spondyloarthritis. Clin Rheumatol 33:237–241CrossRefPubMed
31.
Maksymowych WP (2017) An update on biomarker discovery and use in axial spondyloarthritis. Expert Rev Mol Diagn 17:965–974CrossRefPubMed
32.
Wang DM, Lin L, Peng JH et al (2018) Pannus inflammation in sacroiliitis following immune pathological injury and radiological structural damage: a study of 193 patients with spondyloarthritis. Arthritis Res Ther 20:120CrossRefPubMedPubMedCentral
33.
Diekhoff T, Poddubnyy D, Proft F et al (2023) New bone formation at the sacroiliac joint in axial spondyloarthritis: characterization of backfill in MRI and CT. Rheumatology 62:3893–3898CrossRefPubMedPubMedCentral
34.
35.
Herz B, Albrecht A, Englbrecht M et al (2014) Osteitis and synovitis, but not bone erosion, is associated with proteoglycan loss and microstructure damage in the cartilage of patients with rheumatoid arthritis. Ann Rheum Dis 73:1101–1106CrossRefPubMed
Metadaten
Titel
T2* cartilage mapping in early axial spondyloarthritis: diagnostic accuracy and correlation with clinical characteristics, sacroiliitis MRI scorings, and diffusion metrics
verfasst von
Hongjie Huang
Feifei Zhuang
Xi Liu
Keyi Wu
Feng Wang
Xiance Zhao
Yuyang Zhang
Dairong Cao
Publikationsdatum
24.07.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 2/2025
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-024-10975-2

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