Improved detection of subchondral erosions in the sacroiliac joints with T1-weighted fat-suppressed MRI.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 02 11 2020
accepted: 12 02 2021
revised: 18 12 2020
pubmed: 20 3 2021
medline: 25 8 2021
entrez: 19 3 2021
Statut: ppublish

Résumé

To compare the diagnostic performance of two different sets of magnetic resonance imaging (MRI) for the detection of subchondral erosions in the sacroiliac joints regarding the application of fat-water separation techniques when acquiring T1-weighted (T1w) images, using multi-detector computed tomography (MDCT) as the reference standard. We retrospectively included 31 consecutive patients having or being suspected for axial spondyloarthritis (SpA) assessed using both MRI and MDCT. Three sets of images were independently assessed for the presence of erosions by two musculoskeletal radiologists (R1, R2): (1) MRI with standard T1w without fat suppression, (2) MRI with both T1w with and without fat suppression, and (3) MDCT. The diagnostic performance of both sets of MRIs was assessed using MDCT as the referent. The assessment of T1w images with fat suppression substantially increased sensitivity (76% vs. 63% R1; 70% vs. 60% R2), specificity (97% vs. 84% R1; 96% vs. 81% R2), positive predictive value (85% vs. 45% R1; 81% vs. 40% R2), and overall accuracy (94% vs. 80% R1; 92% vs. 77% R2) in the detection of erosions when compared to the assessment using T1w images without fat suppression. The assessment of T1w images with fat suppression substantially improves the diagnostic performance of MRI in the detection of erosions in the sacroiliac joints. • The presence of erosions in the sacroiliac joints may influence the decision on the diagnosis of axial spondyloarthritis. • T1w fat-suppressed MR imaging relatively increases the contrast between the joint space (high signal) and the adjacent subchondral bone (low signal), potentially improving the detection of erosions in the sacroiliac joints. • T1w fat-suppressed images improve the diagnostic performance of MRI in the detection of erosions in the sacroiliac joints compared to T1w without fat suppression, using MDCT as the reference.

Identifiants

pubmed: 33740094
doi: 10.1007/s00330-021-07785-1
pii: 10.1007/s00330-021-07785-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6810-6815

Informations de copyright

© 2021. European Society of Radiology.

Références

Lambert RGW, Bakker PAC, van der Heijde D et al (2016) Defining active sacroiliitis on MRI for classification of axial spondyloarthritis: update by the ASAS MRI working group. Ann Rheum Dis 75:1958–1963
doi: 10.1136/annrheumdis-2015-208642
Rudwaleit M, van der Heijde D, Landewé 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 68:777–783
doi: 10.1136/ard.2009.108233
Bakker PAC, van den Berg R, Lenczner G et al (2017) Can we use structural lesions seen on MRI of the sacroiliac joints reliably for the classification of patients according to the ASAS axial spondyloarthritis criteria? Data from the DESIR cohort. Ann Rheum Dis 76:392–398
doi: 10.1136/annrheumdis-2016-209405
Diekhoff T, Hermann KA, Greese J 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 76:1502–1508
doi: 10.1136/annrheumdis-2016-210640
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 77:1585–1589
doi: 10.1136/annrheumdis-2018-213393
Melchior J, Azraq Y, Chary-Valckenaere I et al (2017) Radiography, abdominal CT and MRI compared with sacroiliac joint CT in diagnosis of structural sacroiliitis. Eur J Radiol 95:169–176
doi: 10.1016/j.ejrad.2017.08.004
Hu L, Huang Z, Zhang X et al (2014) The performance of MRI in detecting subarticular bone erosion of sacroiliac joint in patients with spondyloarthropathy: a comparison with x-ray and CT. Eur J Radiol 83:2058–2064
doi: 10.1016/j.ejrad.2014.08.009
Madsen KB, Jurik AG (2010) Magnetic resonance imaging grading system for active and chronic spondylarthritis changes in the sacroiliac joint. Arthritis Care Res (Hoboken) 62:11–18
doi: 10.1002/acr.20008

Auteurs

Michel D Crema (MD)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France. michelcrema@gmail.com.
Institute of Sports Imaging, French National Institute of Sports (INSEP), 11 Avenue du Tremblay, 75012, Paris, France. michelcrema@gmail.com.
Department of Radiology, Boston University School of Medicine, Boston, MA, USA. michelcrema@gmail.com.

Anne Miquel (A)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France.

Arnaud Gouvion (A)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France.

Catherine Phan (C)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France.

Ling Li (L)

Department of Statistics, Pfizer Inc., New York, NY, USA.

Yves Menu (Y)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France.

Lionel Arrivé (L)

Department of Radiology, Saint-Antoine Hospital, Sorbonne University, Paris, France.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH