Literature DB >> 35580924

Subchondral bone attenuation coefficient utility of the sacroiliac margins to differentiate spondyloarthritis and osteitis condensans ilii.

Alexandre Terrier1, Olivier Fakih2, Mickaël Chouk2, Clément Prati2,3, Daniel Wendling2,4, Sébastien Aubry1,5, Frank Verhoeven6,3.   

Abstract

INTRODUCTION: Differentiating ankylosing spondylitis (AS) from osteitis condensans ilii (OCI) remains challenging for clinicians. The aim of this study was to determine whether Subchondral Bone Attenuation Coefficient of the SacroIliac margins (SBAC-SI) is different in AS, OCI and diffuse idiopathic skeletal hyperostosis (DISH).
METHODS: A monocentric retrospective observational study was performed at the University Hospital of Besançon. Patients included were followed for AS, DISH or OCI and underwent CT scan including sacroiliac joint. Patients with tumour lesion of bone or a history of pelvic radiotherapy were excluded. AS and OCI patients were matched with a control of the same age and sex. SBAC-SI was evaluated by the sum of 24 identical circular regions of interest, 8 per slice (anterior, middle and posterior).
RESULTS: Thirty AS and AS controls, 31 DISH, 29 OCI and OCI controls were included. SBAC-SI score was 9727 (±2430) in the OCI group (p<0.001), 3563 (±1860) in the AS group, 3899 (±1937) in the DISH group, 4224 (±1693) in the AS control group and 5445 (±1205) in the OCI control group. A threshold of 7500 HU had the best discriminative value between OCI and AS (youden index: 0.89). In AS, disease duration is negatively associated with SBAC-SI (r: -0.623; p<0.01) and HLA B27 is associated with lower SBAC-SI (6523 (5198; 7137) vs 2809 (1568; 3371); p<0.001).
CONCLUSION: SBAC-SI is significatively different between AS and OCI and could help to distinguish these two diseases. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  ankylosing spondylitis; bone density; low back pain

Mesh:

Substances:

Year:  2022        PMID: 35580924      PMCID: PMC9114940          DOI: 10.1136/rmdopen-2022-002275

Source DB:  PubMed          Journal:  RMD Open        ISSN: 2056-5933


Osteitis condensans ilii (OCI) is often associated with bone marrow oedema of the sacroiliac joints. Differentiating ankylosing spondylitis (AS) from OCI remains challenging for clinicians. Subchondral Bone Attenuation Coefficient of the SacroIliac margins (SBAC-SI) is different between AS and OCI. A threshold of 7500 HU had the best discriminative value (youden index: 0.89) between OCI and AS. SBAC-SI could be useful to distinguish AS and OCI.

Introduction

Axial spondyloarthritis (axSpA) is a chronic inflammatory rheumatic disease characterised by inflammatory back pain and potential extra-articular manifestations.1 The ASAS classification criteria for axSpA include an important imaging component (either MRI sacroiliitis or radiographic sacroiliitis).2 However, there are several limitations: first, the MRI criteria were developed in a defined cross-sectional study population (age <45 years and with back pain for at least 3 months), so for older patients, MRI criteria are not validated. Then, MRI can be a source of several false positives results.3–5 Indeed, several authors have recently demonstrated that subchondral bone marrow oedema can also occur in healthy volunteers,6 7 in athletes8 and in osteitis condensans ilii (OCI)9 and in postpartum women.10 OCI is a complex differential diagnosis with inflammatory sacroiliitis. Indeed, a recent series showed a high prevalence of osteitis on MRI in OCI.11 Thus, differentiating axSpA from OCI remains challenging for clinicians. CT of sacroiliac joints (SIJ) is sensitive and considered as a gold standard of structural damage detection (erosions, sclerosis and ankylosis). This imaging procedure enables to measure attenuation coefficients, that is, to measure how easily a material can be penetrated by X-rays,12 of the subchondral bone, where the sclerosis occurs in OCI, diffuse idiopathic skeletal hyperostosis (DISH), ankylosing spondylitis (AS) and osteoarthritis. The subchondral bone attenuation coefficient corresponded to the average bone mineral density, in Hounsfield units (HU), of a region of interest (ROI), drawn in the trabecular bone, avoiding cortical bone. Recent studies showed that subchondral bone attenuation coefficient of the first lumbar vertebra was useful for identifying osteoporosis.13 14 Ulano et al15 demonstrated that CT attenuation measurements can be used to distinguish untreated osteoblastic metastases from enostoses.16 The aim of our study was to determine whether Subchondral Bone Attenuation Coefficient of the Sacroiliac margins (SBAC-SI) is different in AS, OCI, DISH and thus enable to differentiate AS from OCI.

Methods

Study design and characteristics of the patients

A retrospective monocentric observational study was performed using the medical records of the rheumatology department of the University Hospital of Besançon. The patients included were known for AS meeting the ASAS 2009 criteria1 and New York modified criteria, DISH, OCI and had realised a CT-scan including the SIJ in its entirety. A query was then carried out in the hospital’s picture archiving and communication system to identify patients with AS, OCI and DISH, who had undergone any CT exam which included the SIJ in their entirety. AS and OCI patients were then matched with a control of the same age and sex, recruited through the hospital’s picture archiving and communication system. For patients with AS, we searched for HLA B27 and active smoking given their impact on bone mineral density and the radiographic progression in spondyloarthritis.17 18 Non-inclusion criteria were the existence of tumour lesion of bone or a history of pelvic radiotherapy.

Attenuation coefficient acquisition and scoring system

All scans were acquired on the same CT-scan unit (Somatom 64 definition AS+, Siemens Healthineers, Erlangen, Germany), with a slice thickness of 0.625 mm. In the coronal oblique plane of the SIJ, three slices (anterior, middle and posterior) and four quadrants per slice were defined (figure 1). Twenty-four identical circular ROIs (30 mm2), eight per slice, were manually placed separately subcortical to the SIJ, four on the sacral side and four on the iliac side. The distance between the circle of the ROI and the cortical bone was 2–3 mm. An overall score was obtained from the sum of all ROIs. For every ROI, an attenuation coefficient was measured and expressed in HU. The total SBAC-SI score was the sum of the 24 ROI. The sacral and iliac SBAC-SI scores were the sum of the sacral or the iliac ROI. The intraobservator correlation was evaluated on the 10 first patients with a kappa coefficient.
Figure 1

Definition of the 24 ROI in the anterior (A), middle (B) and posterior (C) slices in the coronal oblique plane of the sacroiliac joints. ROI, region of interest.

Definition of the 24 ROI in the anterior (A), middle (B) and posterior (C) slices in the coronal oblique plane of the sacroiliac joints. ROI, region of interest.

Statistical analysis

Quantitative variables were expressed as mean±SD and were compared using Student’s t-test and Mann-Whitney U test. Qualitative variables were expressed as numbers and percentages and were compared using the χ2 test. The Kruskal-Wallis test was used to evaluate the anatomic distribution of the different lesions. A value of p<0.05 was considered significant. Analyses were performed using Graphpad Prism software (V.5.0).

Results

Patients

Thirty AS, 29 OCI, 31 DISH, 29 OCI controls and 30 AS controls were included (table 1). The mean age was 63.4±1.5 years in the AS group with 50% males, 60.3±3.4 years in the AS control group with 50% males, 76.9±1.7 years in the DISH group with 52% males, 37.9±1.5 years in the OCI group with 100% females and 37.6±1.4 years in the OCI control group with 100% females. In the AS group, 77% were HLA-B27 positive, 56% were physical workers and 57% were tobacco users. The mean disease duration of AS was 19.88±13 years and 7 (23%) patients had sacroiliac ankylosis.
Table 1

Patients characteristics

AS (30)Control AS (30)OCI (29)Control OCI (29)DISH (31)
Age (years)63.4±1.560.3±3.437.9±1.537.6±1.476.9±1.7
Male (%)50 %50 %0 %0 %52 %
Disease duration (years)19.88±13
HLA B27 (%)77 %
Sacroiliac ankylosis23 %0 %0 %0 %0 %
Physical work56 %
smoker57 %

AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii.

Patients characteristics AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii.

Attenuation coefficient acquisition and scores

The intraobservator correlation was excellent with a kappa coefficient at 0.92. The overall score was 9727 (±2430) in the OCI group (p<0.001; in comparison with other groups), 3563 (±1860) in the AS group, 3899 (±1937) in the DISH group, 4224 (±1693) in the AS control group and 5445 (±1205) in the OCI control group. Only the OCI group was different from the other groups. There was no difference between DISH and AS and no difference with the control groups. The sacral and iliac scores showed the same significative differences (table 2). The anterior slice shows the highest attenuation coefficients per ROI (figure 2). Moreover, this slice shows the most difference between the OCI group and the other groups and seemed to be the most discriminative slice. For each ROI, the attenuation coefficient is statistically greater in the OCI group compared with the other pathologies (figures 3 and 4).
Table 2

Subchondral bone attenuation coefficient of the sacroiliac margins

ASControl ASOCIControl OCIDISH
Total score (Mean±SD)3563 (±1860)4224 (±1693)9727 (±2430)*5445 (±1205)3899 (±1937)
Sacral score (Mean±SD)1283 (±883)1388 (±643)3085 (±1066)*2019 (±486)1273 (±661)
Iliac score (Mean±SD)2386 (±1190)2824 (±1123)6540 (±1801)*3495 (±759)2770 (±1330)

Values are expressed in Hounsfield unit.

*P<0.001 vs AS.

AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii.

Figure 2

Distribution of the Subchondral Bone Attenuation Coefficients of the Sacroiliac Margins of the 24 ROI in the anterior (A), middle (B) and posterior (C) slices in the coronal oblique plane of the sacroiliac joints. Values are expressed in Hounsfield unit. AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii; ROI, region of interest.

Distribution of the Subchondral Bone Attenuation Coefficients of the Sacroiliac Margins of the 24 ROI in the anterior (A), middle (B) and posterior (C) slices in the coronal oblique plane of the sacroiliac joints. Values are expressed in Hounsfield unit. AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii; ROI, region of interest. Distribution of the subchondral bone attenuation coefficients of the 12 sacral ROI in the anterior (first line), middle (second line) and posterior (third line) slices in the coronal oblique plane of the sacroiliac joints. ROI, region of interest. Distribution of the subchondral bone attenuation coefficients of the 12 iliac ROI in the anterior (first line), middle (second line) and posterior (third line) slices in the coronal oblique plane of the sacroiliac joints. ROI, region of interest. Subchondral bone attenuation coefficient of the sacroiliac margins Values are expressed in Hounsfield unit. *P<0.001 vs AS. AS, ankylosing spondylitis; DISH, diffuse idiopathic skeletal hyperostosis; OCI, osteitis condensans ilii. Using the analysis of the ROC (receiver operating characterisitic) curve, we showed that a threshold of 7500 HU had the best discriminative value between OCI and AS with a sensitivity of 89% and a specificity of 100% (youden index: 0.89). Finally, in AS group, the disease duration is negatively associated with SBAC-SI (r: −0.623; p<0.01) and HLA B27 is associated with lower SBAC-SI (6523 (5198; 7137) vs 2809 (1568; 3371); p<0.001).

Discussion

Our study is the first to show that SBAC-SI can be useful to differentiate OCI from AS. It is also the first to assess the discriminatory capacity of this simple measurement. The comparison between the AS and OCI groups shows a significant difference. However, the two groups are not comparable in age and gender. The comparison of the SBAC-SI between these two control groups did not show any significant difference. In addition, we compared the SBAC-SI of men and women in the AS group. This analysis did not reveal any significant gender differences. A surprising result is the lack of clear condensation in the AS group. This is partly explained by the age of the patients in the AS group and the high proportion of SIJ ankylosis. SIJ ankylosis reduces stress on the bone and thus reduces bone condensation. The SBAC-SI score has not been assessed in non-radiographic axSpA and may be of interest. Nevertheless, the usefulness of our score is to differentiate between two pathologies with structural damage. In case of absence of structural damage, as in non-radiographic axSpA, this analysis loses its interest. The assessment of the overall score is time-consuming in daily practice and this represents a significant limitation of this score. Nevertheless, we have shown that each ROI allows us to discriminate between AS and OCI. Moreover, the anterior slice showed the most marked difference. Thus, it seems reasonable to favour the anterior slice for measuring ROI in daily practice. Our study suffers from several limitations. First, the small number of patients in each group and the retrospective nature is a major limitation. Nevertheless, we chose to do a monocentric study to avoid possible technical differences with the use of two different CT scanners. Second, important clinical elements are missing, such as disease activity in spondyloarthritis, treatment of patients, body mass index, physical activity and number of gestation and time since last pregnancy for women. In addition, the manual positioning of ROIs represents a technical limitation. Nevertheless, we have evaluated the intraobserver reproductibility, which is very good and limits this bias. Finally, as mentioned above, the different groups are not comparable in terms of age and sex ratio. Nevertheless, we repeated the analyses by pooling the control groups and found, using linear regression, a correlation between age and the SBAC-SI total score (correlation coefficient: −0.696 (−0.808; −0.535); p<0001) but not with the gender. In conclusion, our study shows that SBAC-SI is significatively different between AS and OCI and could be used to distinguish these two diseases. Larger studies with younger AS are needed to confirm these first data.
  18 in total

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Authors:  Adam Ulano; Miriam A Bredella; Patrick Burke; Ivan Chebib; F Joseph Simeone; Ambrose J Huang; Martin Torriani; Connie Y Chang
Journal:  AJR Am J Roentgenol       Date:  2016-04-21       Impact factor: 3.959

2.  Frequency and Anatomic Distribution of Magnetic Resonance Imaging Features in the Sacroiliac Joints of Young Athletes: Exploring "Background Noise" Toward a Data-Driven Definition of Sacroiliitis in Early Spondyloarthritis.

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Journal:  Arthritis Rheumatol       Date:  2018-03-23       Impact factor: 10.995

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Journal:  Semin Arthritis Rheum       Date:  2016-11-16       Impact factor: 5.532

Review 4.  Associations of Smoking and Alcohol and Coffee Intake with Fracture and Bone Mineral Density: A Mendelian Randomization Study.

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Journal:  Calcif Tissue Int       Date:  2019-09-04       Impact factor: 4.333

5.  Computed medical imaging. Nobel lecture, Decemberr 8, 1979.

Authors:  G N Hounsfield
Journal:  J Comput Assist Tomogr       Date:  1980-10       Impact factor: 1.826

6.  Associations Between Spondyloarthritis Features and Magnetic Resonance Imaging Findings: A Cross-Sectional Analysis of 1,020 Patients With Persistent Low Back Pain.

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Journal:  Arthritis Rheumatol       Date:  2016-04       Impact factor: 10.995

7.  Osteitis condensans ilii may demonstrate bone marrow edema on sacroiliac joint magnetic resonance imaging.

Authors:  Ling Ma; Zhenhua Gao; Yi Zhong; Quanfei Meng
Journal:  Int J Rheum Dis       Date:  2017-07-05       Impact factor: 2.454

Review 8.  Axial spondyloarthritis.

Authors:  Joachim Sieper; Denis Poddubnyy
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9.  The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part II): validation and final selection.

Authors:  M Rudwaleit; D van der Heijde; R Landewé; J Listing; N Akkoc; J Brandt; J Braun; C T Chou; E Collantes-Estevez; M Dougados; F Huang; J Gu; M A Khan; Y Kirazli; W P Maksymowych; H Mielants; I J Sørensen; S Ozgocmen; E Roussou; R Valle-Oñate; U Weber; J Wei; J Sieper
Journal:  Ann Rheum Dis       Date:  2009-03-17       Impact factor: 19.103

10.  Relationship between spinal structural damage on radiography and bone fragility on CT in ankylosing spondylitis patients.

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