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Computertomographie versus Magnetresonanztomographie

Pro und Kontra in der axialen Spondyloarthritis

Computed tomography versus magnetic resonance imaging

Pros and cons in axial spondyloarthritis

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Zusammenfassung

Die Diagnose der axialen Spondyloarthritis hängt neben der klinischen Einschätzung und der Bestimmung des Histokompatibilitätsantigens HLA-B27 von der direkten Darstellung der Sakroiliitis ab. Während der Wert der konventionellen Röntgenaufnahme mittlerweile in vielen Studien als unzureichend beschrieben wurde, um die Erkrankung früh diagnostizieren zu können, bieten sich nun die Magnetresonanztomographie, aber auch die Computertomographie an, um Befunde wie Knochenmarködeme, Erosionen, Fettmetaplasie, Backfill und Ankylosen darzustellen. Es gilt also zu entscheiden, welches Verfahren wann angewandt werden sollte. Ferner sind beide Schnittbildverfahren aktuell einem starken Wandel unterlegen, und die technische Weiterentwicklung macht jedes Jahr große Schritte. Hier soll ein Überblick gegeben werden, welche Zukunftstechnologien in die rheumatologische Diagnostik der Sakroiliakalgelenke einziehen werden. Diese Übersicht veranschaulicht auch, welche Standardmethoden in der Diagnostik der axialen Spondyloarthritis etabliert sind und wie sie genutzt werden.

Abstract

The diagnosis of axial spondyloarthritis depends on direct visualization of the sacroiliitis in addition to clinical assessment and determination of the histocompatibility antigen HLA-B27. While the value of conventional radiographic images has meanwhile been described in many studies as insufficient to diagnose the disease at an early stage, magnetic resonance imaging and also computed tomography now offer the possibility to visualize findings, such as bone marrow edema, erosion, fat metaplasia, backfill and ankylosis. Thus, it is necessary to decide which procedure should be used and when. Furthermore, both cross-sectional imaging techniques are currently undergoing major changes, and technical advancements are making great strides every year. This article provides an overview of which future technologies will be included in the rheumatological diagnostics of the sacroiliac joints. This overview also illustrates which standard methods are established in the diagnostics of axial spondyloarthritis and how they are used.

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Literatur

  1. Bollow M, Braun J, Hamm B, Eggens U, Schilling A, König H et al (1995) Early sacroiliitis in patients with spondyloarthropathy: evaluation with dynamic gadolinium-enhanced MR imaging. Radiology 194(2):529–536

    Article  CAS  PubMed  Google Scholar 

  2. Eshed I, Diekhoff T, Hermann KGA (2022) Is it time to move on from pelvic radiography as the first-line imaging modality for suspected sacroiliitis? Curr Opin Rheumatol. https://doi.org/10.1097/BOR.0000000000000925

    Article  PubMed  Google Scholar 

  3. Diekhoff T, Eshed I, Radny F, Ziegeler K, Proft F, Greese J et al (2022) Choose wisely: imaging for diagnosis of axial spondyloarthritis. Ann Rheum Dis 81(2):237–242

    Article  CAS  PubMed  Google Scholar 

  4. Diekhoff T, Hermann KGA, Lambert RG (2022) Future of low-dose computed tomography and dual-energy computed tomography in axial spondyloarthritis. Curr Rheumatol Rep 24(6):198–205

    Article  PubMed  PubMed Central  Google Scholar 

  5. Hermann KGA, Ziegeler K, Kreutzinger V, Poddubnyy D, Proft F, Deppe D et al (2022) What amount of structural damage defines sacroiliitis: a CT study. RMD Open 8(1):e1939

    Article  PubMed  PubMed Central  Google Scholar 

  6. Korcakova E, Stepankova J, Suchy D, Hosek P, Bajcurova K, Pernicky J et al (2022) Is ultra low-dose CT with tin filtration useful for examination of SI joints? Can it replace X‑ray in diagnostics of sacroiliitis? Acta Univ Palacki Olomuc Fac Med 166(1):77–83

    Google Scholar 

  7. Mandl P, Navarro-Compan V, Terslev L, Aegerter P, van der Heijde D, D’Agostino MA et al (2015) EULAR recommendations for the use of imaging in the diagnosis and management of spondyloarthritis in clinical practice. Ann Rheum Dis 74(7):1327–1339

    Article  CAS  PubMed  Google Scholar 

  8. Navarro-Compan V, Sepriano A, El-Zorkany B, van der Heijde D (2021) Axial spondyloarthritis. Ann Rheum Dis 80(12):1511–1521

    Article  CAS  PubMed  Google Scholar 

  9. Jurik AG, Weidekamm C, Reijnierse M, Rennie W Spine in Spondyloarthritis: MRI Protocols of the ESSR Arthritis Subcommitee 2018. https://www.essr.org/content-essr/uploads/2018/05/Spine-in-Spondyloarthritis.pdf. Zugegriffen: 17. Juli 2023

  10. Greese J, Diekhoff T, Sieper J, Schwenke C, Makowski MR, Poddubnyy D et al (2019) Detection of Sacroiliitis by short-tau inversion recovery and T2-weighted turbo spin echo sequences: results from the SIMACT study. J Rheumatol 46(4):376–383

    Article  PubMed  Google Scholar 

  11. Bollow M, Braun J, Hamm B, Eggens U, Schilling A, Konig H et al (1995) Early sacroiliitis in patients with spondyloarthropathy: evaluation with dynamic gadolinium-enhanced MR imaging. Radiology 194(2):529–536

    Article  CAS  PubMed  Google Scholar 

  12. Blum U, Buitrago-Tellez C, Mundinger A, Krause T, Laubenberger J, Vaith P et al (1996) Magnetic resonance imaging (MRI) for detection of active sacroiliitis—a prospective study comparing conventional radiography, scintigraphy, and contrast enhanced MRI. J Rheumatol 23(12):2107–2115

    CAS  PubMed  Google Scholar 

  13. Althoff CE, Feist E, Burova E, Eshed I, Bollow M, Hamm B et al (2009) Magnetic resonance imaging of active sacroiliitis: do we really need gadolinium? Eur J Radiol 71(2):232–236

    Article  PubMed  Google Scholar 

  14. de Hooge M, van den Berg R, Navarro-Compan V, van Gaalen F, van der Heijde D, Huizinga T et al (2013) Magnetic resonance imaging of the sacroiliac joints in the early detection of spondyloarthritis: no added value of gadolinium compared with short tau inversion recovery sequence. Rheumatology 52(7):1220–1224

    Article  PubMed  Google Scholar 

  15. Baraliakos X, Hermann KG, Landewe R, Listing J, Golder W, Brandt J et al (2005) Assessment of acute spinal inflammation in patients with ankylosing spondylitis by magnetic resonance imaging: a comparison between contrast enhanced T1 and short tau inversion recovery (STIR) sequences. Ann Rheum Dis 64(8):1141–1144

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Klang E, Aharoni D, Hermann KG, Herman A, Rimon U, Shazar N et al (2014) Magnetic resonance imaging of pelvic entheses—a systematic comparison between short tau inversion recovery (STIR) and T1-weighted, contrast-enhanced, fat-saturated sequences. Skelet Radiol 43(4):499–505

    Article  Google Scholar 

  17. Agten CA, Zubler V, Rosskopf AB, Weiss B, Pfirrmann CW (2016) Enthesitis of lumbar spinal ligaments in clinically suspected spondyloarthritis: value of gadolinium-enhanced MR images in comparison to STIR. Skelet Radiol 45(2):187–195

    Article  Google Scholar 

  18. Krohn M, Braum LS, Sieper J, Song IH, Weiß A, Callhoff J et al (2013) Erosions and fatty lesions of sacroiliac joints in patients with axial spondyloarthritis: Evaluation of different MRI techniques and two scoring methods. J Rheumatol 41(3):473–480

    Article  Google Scholar 

  19. Diekhoff T, Greese J, Sieper J, Poddubnyy D, Hamm B, Hermann KA (2018) Improved detection of erosions in the sacroiliac joints on MRI with volumetric interpolated breath-hold examination (VIBE): results from the SIMACT study. Ann Rheum Dis 77(11):1585–1589

    Article  PubMed  Google Scholar 

  20. Baraliakos X, Hoffmann F, Deng X, Wang YY, Huang F, Braun J (2019) Detection of erosions in sacroiliac joints of patients with axial Spondyloarthritis using the magnetic resonance imaging volumetric interpolated breath-hold examination. J Rheumatol 46(11):1445–1449

    Article  PubMed  Google Scholar 

  21. Xie R, Sun D, Morelli JN, Yin C, Xiong Y, Li X (2020) Recognition of sacroiliac joint structural lesions: comparison of volumetric interpolated breath-hold examination (VIBE) sequences with different slice thicknesses to T1-weighted turbo-echo. Eur J Radiol 124:108849

    Article  PubMed  Google Scholar 

  22. Runge VM, Richter JK, Heverhagen JT (2017) Speed in clinical magnetic resonance. Invest Radiol 52(1):1–17

    Article  PubMed  Google Scholar 

  23. Du MS, Xiong XQ, Liu H, Qin X, Hu XF, Chen W (2021) The evaluation of bone marrow edema in sacroiliac joint in patients with ankylosing spondylitis using magnetic resonance imaging Dixon sequence. BMC Musculoskelet Disord 22(1):919

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lundervold AS, Lundervold A (2019) An overview of deep learning in medical imaging focusing on MRI. Z Med Phys 29(2):102–127

    Article  PubMed  Google Scholar 

  25. Chartrand G, Cheng PM, Vorontsov E, Drozdzal M, Turcotte S, Pal CJ et al (2017) Deep learning: a primer for radiologists. Radiographics 37(7):2113–2131

    Article  PubMed  Google Scholar 

  26. Zerunian M, Pucciarelli F, Caruso D, De Santis D, Polici M, Masci B et al (2023) Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol. Skelet Radiol. https://doi.org/10.1007/s00256-023-04390-9

    Article  Google Scholar 

  27. Deppe D, Hermann KG, Proft F, Poddubnyy D, Radny F, Protopopov M et al (2021) CT-like images of the sacroiliac joint generated from MRI using susceptibility-weighted imaging (SWI) in patients with axial spondyloarthritis. RMD Open 7(2):e1656

    Article  PubMed  PubMed Central  Google Scholar 

  28. Jans LBO, Chen M, Elewaut D, Van den Bosch F, Carron P, Jacques P et al (2021) MRI-based synthetic CT in the detection of structural lesions in patients with suspected Sacroiliitis: comparison with MRI. Radiology 298(2):343–349

    Article  PubMed  Google Scholar 

  29. Diekhoff T, Hermann KG, Greese J, Schwenke C, Poddubnyy D, Hamm B et al (2017) Comparison of MRI with radiography for detecting structural lesions of the sacroiliac joint using CT as standard of reference: results from the SIMACT study. Ann Rheum Dis 76(9):1502–1508

    Article  PubMed  Google Scholar 

  30. Greffier J, Dabli D, Frandon J, Hamard A, Belaouni A, Akessoul P et al (2021) Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: a phantom study. Med Phys 48(10):5743–5755

    Article  PubMed  Google Scholar 

  31. Rau A, Straehle J, Stein T, Diallo T, Rau S, Faby S et al (2023) Photon-counting computed tomography (PC-CT) of the spine: impact on diagnostic confidence and radiation dose. Eur Radiol. https://doi.org/10.1007/s00330-023-09511-5

    Article  PubMed  PubMed Central  Google Scholar 

  32. Diekhoff T, Lambert R, Hermann KG (2022) MRI in axial spondyloarthritis: understanding an ‘ASAS-positive MRI’ and the ASAS classification criteria. Skelet Radiol 51(9):1721–1730

    Article  Google Scholar 

  33. Stal R, Ramiro S, Baraliakos X, Braun J, Reijnierse M, van den Berg R et al (2023) Good construct validity of the CT Syndesmophyte Score (CTSS) in patients with radiographic axial spondyloarthritis. RMD Open. https://doi.org/10.1136/rmdopen-2022-002959

    Article  PubMed  PubMed Central  Google Scholar 

  34. Jung SM, Kim MY, Hong YS, Park SH, Kang KY (2023) Costovertebral joint involvement in patients with axial spondyloarthritis. Joint Bone Spine 90(4):105546

    Article  PubMed  Google Scholar 

  35. Stal R, van Gaalen F, Sepriano A, Braun J, Reijnierse M, van den Berg R et al (2020) Facet joint ankylosis in r‑axSpA: detection and 2‑year progression on whole spine low-dose CT and comparison with syndesmophyte progression. Rheumatology 59(12):3776–3783

    Article  PubMed  PubMed Central  Google Scholar 

  36. Diekhoff T, Eshed I, Giraudo C, Hermann KG, De Hooge M, Jans L et al (2022) ASAS recommendations for requesting and reporting imaging examinations in patients with suspected axial Spondyloarthritis (OP0150). Ann Rheum Dis 81:97

    Article  Google Scholar 

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Correspondence to Kay Geert A. Hermann.

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K.G.A. Hermann und T. Diekhoff geben an, dass kein Interessenkonflikt besteht.

Für diesen Beitrag wurden von den Autoren keine Studien an Menschen oder Tieren durchgeführt. Für die aufgeführten Studien gelten die jeweils dort angegebenen ethischen Richtlinien. Für Bildmaterial oder anderweitige Angaben innerhalb des Manuskripts, über die Patient/-innen zu identifizieren sind, liegt von ihnen und/oder ihren gesetzlichen Vertretern/Vertreterinnen eine schriftliche Einwilligung vor.

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Hermann, K.G.A., Diekhoff, T. Computertomographie versus Magnetresonanztomographie. Z Rheumatol 82, 638–645 (2023). https://doi.org/10.1007/s00393-023-01415-5

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