File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Intensity of spinal inflammation is associated with radiological structural damage in patients with active axial spondyloarthritis

TitleIntensity of spinal inflammation is associated with radiological structural damage in patients with active axial spondyloarthritis
Authors
Keywordsmodified Stoke anky
losing spondylitis spine score
spondyloarthritis
diffusion-weighted imaging
short tau inversion recovery sequence
Issue Date2020
PublisherOxford University Press. The Journal's web site is located at https://academic.oup.com/rheumap
Citation
Rheumatology Advances in Practice, 2020, v. 4 n. 1, article no. rkz049 How to Cite?
AbstractObjective: The aim was to investigate the relationship between the intensity of spinal inflammation using the apparent diffusion coefficient (ADC) and radiographic progression in axial SpA. Methods: This is a cross-sectional study of participants with axial SpA and back pain. Clinical, biochemical and radiological parameters were collected. The ankylosing spondylitis disease activity score (ASDAS)-CRP was determined. Radiographic progression was represented by the modified Stoke ankylosing spondylitis spine score (mSASSS). MRI with short tau inversion recovery (STIR) and diffusion-weighted imaging sequences were performed simultaneously. Inflammatory lesions on STIR were used for the Spondyloarthritis Research Consortium of Canada (SPARCC) MRI indexes and as references in outlining regions of interest in ADC maps to produce mean (ADCmean) and maximal (ADCmax) ADC values. Univariate and multivariate linear regression analyses were used to determine independent associations between ADC and radiographic progression. Results: The 84 participants with identifiable lesions on spinal ADC maps recruited were characterized by a mean (S.D.) age of 45.01 (13.68) years, long disease duration [13.40 (11.01) years] and moderate clinical disease activity [ASDAS-CRP 2.07 (0.83)]. Multivariate regression analysis using ADCmean as the independent variable showed that age (regression coefficient [B] = 0.34; P = 0.01), male sex (B = 0.25; P = 0.04) and ADCmean (B = 0.30; P = 0.01) were positively associated with mSASSS. Multivariate regression analysis using ADCmax as the independent variable showed a tendency for ADCmax to be associated with mSASSS (B = 0.21; P = 0.07). Conclusion: The intensity of spinal inflammation as determined by ADC is associated with radiographic progression in participants with active axial SpA.
Persistent Identifierhttp://hdl.handle.net/10722/280364
ISSN
2023 Impact Factor: 2.1
2023 SCImago Journal Rankings: 0.660
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, JX-
dc.contributor.authorChung, HY-
dc.contributor.authorChui, ETF-
dc.contributor.authorLee, KH-
dc.contributor.authorChan, SCW-
dc.contributor.authorTsang, HHL-
dc.contributor.authorNg, AHY-
dc.date.accessioned2020-02-07T07:40:01Z-
dc.date.available2020-02-07T07:40:01Z-
dc.date.issued2020-
dc.identifier.citationRheumatology Advances in Practice, 2020, v. 4 n. 1, article no. rkz049-
dc.identifier.issn2514-1775-
dc.identifier.urihttp://hdl.handle.net/10722/280364-
dc.description.abstractObjective: The aim was to investigate the relationship between the intensity of spinal inflammation using the apparent diffusion coefficient (ADC) and radiographic progression in axial SpA. Methods: This is a cross-sectional study of participants with axial SpA and back pain. Clinical, biochemical and radiological parameters were collected. The ankylosing spondylitis disease activity score (ASDAS)-CRP was determined. Radiographic progression was represented by the modified Stoke ankylosing spondylitis spine score (mSASSS). MRI with short tau inversion recovery (STIR) and diffusion-weighted imaging sequences were performed simultaneously. Inflammatory lesions on STIR were used for the Spondyloarthritis Research Consortium of Canada (SPARCC) MRI indexes and as references in outlining regions of interest in ADC maps to produce mean (ADCmean) and maximal (ADCmax) ADC values. Univariate and multivariate linear regression analyses were used to determine independent associations between ADC and radiographic progression. Results: The 84 participants with identifiable lesions on spinal ADC maps recruited were characterized by a mean (S.D.) age of 45.01 (13.68) years, long disease duration [13.40 (11.01) years] and moderate clinical disease activity [ASDAS-CRP 2.07 (0.83)]. Multivariate regression analysis using ADCmean as the independent variable showed that age (regression coefficient [B] = 0.34; P = 0.01), male sex (B = 0.25; P = 0.04) and ADCmean (B = 0.30; P = 0.01) were positively associated with mSASSS. Multivariate regression analysis using ADCmax as the independent variable showed a tendency for ADCmax to be associated with mSASSS (B = 0.21; P = 0.07). Conclusion: The intensity of spinal inflammation as determined by ADC is associated with radiographic progression in participants with active axial SpA.-
dc.languageeng-
dc.publisherOxford University Press. The Journal's web site is located at https://academic.oup.com/rheumap-
dc.relation.ispartofRheumatology Advances in Practice-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectmodified Stoke anky-
dc.subjectlosing spondylitis spine score-
dc.subjectspondyloarthritis-
dc.subjectdiffusion-weighted imaging-
dc.subjectshort tau inversion recovery sequence-
dc.titleIntensity of spinal inflammation is associated with radiological structural damage in patients with active axial spondyloarthritis-
dc.typeArticle-
dc.identifier.emailChung, HY: jameschy@hku.hk-
dc.identifier.authorityChung, HY=rp02330-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1093/rap/rkz049-
dc.identifier.scopuseid_2-s2.0-85081653585-
dc.identifier.hkuros309102-
dc.identifier.volume4-
dc.identifier.issue1-
dc.identifier.spagearticle no. rkz049-
dc.identifier.epagearticle no. rkz049-
dc.identifier.isiWOS:000551254000014-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2514-1775-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats