- Research
- Open access
- Published:
Significant overlap of inflammatory and degenerative features on imaging among patients with degenerative disc disease, diffuse idiopathic skeletal hyperostosis and axial spondyloarthritis: a real-life cohort study
Arthritis Research & Therapy volume 26, Article number: 147 (2024)
Abstract
Background
Differentiating between degenerative disc disease (DDD), diffuse idiopathic skeletal hyperostosis (DISH), and axial spondyloarthritis (axSpA) represents a diagnostic challenge in patients with low back pain (LBP). We aimed to evaluate the distribution of inflammatory and degenerative imaging features in a real-life cohort of LBP patients referred to a tertiary university rheumatology center.
Methods
In a retrospective cross-sectional analysis of patients referred for LBP, demographics, symptom information, and available imaging were collected. SpA-like changes were considered in the spine in the presence of one of the following lesions typically related to SpA: erosions, sclerosis, squaring, and syndesmophytes on conventional radiographs (CR) and bone marrow oedema (BMO), erosions, sclerosis, and fat lesions (FL) on MRI. SIJ CR were graded per New York criteria; on MRIs, SIJs were evaluated by quadrant for BMO, erosions, FL, sclerosis and ankylosis, similar to the approach used by the Berlin SIJ MRI scoring system. The final diagnosis made by the rheumatologist was the gold standard. Data were presented descriptively, by patient and by quadrant, and compared among the three diagnosis groups.
Results
Among 136 referred patients, 71 had DDD, 38 DISH, and 27 axSpA; median age 62 years [IQR55-73], 63% males. On CR, SpA-like changes were significantly higher in axSpA in the lumbar (50%, vs. DDD 23%, DISH 22%), in DISH in the thoracic (28%, vs. DDD 8%, axSpA 12%), and in DDD in the cervical spine (67% vs. DISH 0%, axSpA 33%). On MRI, BMO was significantly higher in DISH in the thoracic (37%, vs. DDD 22%, axSpA 5%) and equally distributed in the lumbar spine (35-42%). FL were significantly more frequently identified in DISH and axSpA in the thoracic (56% and 52%) and DDD and axSpA in the lumbar spine (65% and 74%, respectively). Degenerative changes were frequent in the three groups. Sacroiliitis (NY criteria) was identified in 49% (axSpA 76%, DDD 48%, DISH 29%).
Conclusion
A significant overlap was found among DDD, DISH, and axSpA for inflammatory and degenerative imaging features. Particularly, SpA-like spine CR features were found in one-fourth of patients with DISH, and MRI BMO was found in one-third of those patients.
Introduction
Low back pain (LBP) is a highly prevalent condition, affecting 619 million people in 2020, nearly 10% of the world’s population, according to the Global Burden of Disease study, with a substantial societal and economic burden worldwide [1, 2].
An appropriate distinction between LBP etiologies is essential for establishing a proper management plan for the individual patient and allocating resources efficiently for the general population. In particular, differentiating between degenerative disc disease (DDD), diffuse idiopathic hyperostosis (DISH), and axial spondyloarthritis (axSpA) may represent a significant diagnostic and therapeutic challenge in rheumatological clinical practice.
As DDD is observed in most individuals increasingly with age and acknowledged as an expected feature of ageing, DISH is considered a non-inflammatory condition that involves exuberant calcification and ossification of the spinal ligaments and entheses and was first described by Forestier and Rotes-Querol in 1950 [3], although its origin was traced back to the Royal Egyptian mummies from the 15th century BC [4]. DISH mainly, but not exclusively, affects adults older than 45 years and is associated with various metabolic disorders, such as obesity, hypertension, diabetes mellitus and metabolic syndrome in general [5, 6]. Traditionally, DISH is defined according to the Resnik radiographic criteria, which require flowing spondylophytes in four contiguous vertebrae in the thoracic spine [7], relative preservation of the intervertebral disc space, and absence of apophyseal joint ankylosis and sacroiliac joint (SIJ) erosion, sclerosis, or intraarticular osseous fusion. However, several definitions were subsequently utilized to identify earlier forms of the disease and accommodate possible SIJ lesions [8, 9].
In contrast, axSpA is a chronic inflammatory immune-mediated disease, starting in young adulthood, with inflammatory back pain as the main clinical feature [10] and an association with the Human Leucocyte Antigen B27 (HLA-B27). The earliest and most characteristic findings occur in the SIJs and include inflammatory lesions (depicted by magnetic resonance imaging (MRI)) but also chronic structural changes such as fat lesions (FL), periarticular bony erosions, sclerosis and new bone formation or ankylosis. The disease later extends ascendingly to the spine, with similar findings to the SIJ, resulting in the formation of syndesmophytes, which are vertical bony bridges joining adjacent vertebral bodies anteriorly and laterally to form a bamboo-spine [11].
Although DDD, DISH, and axSpA are all associated with spinal ossification, the underlying pathophysiology, imaging pattern, and subsequent therapeutic targets are fundamentally different [12]. [13].
The co-existence of inflammatory and degenerative changes (DC) is problematic with increasing age, making the distinction between the degenerative and inflammatory causes of pain and disability particularly challenging [14,15,16,17].
Realizing the challenge of imaging description to establish an accurate diagnosis and its subsequent impact on management, the objective of the study was to evaluate the distribution of spinal inflammatory and degenerative imaging features in a real-life cohort of patients with chronic back pain referred to a tertiary university rheumatology center and identify those associated with DDD, DISH or axSpA.
Methods
Study design
This was a retrospective cross-sectional analysis of patients with the diagnosis of DDD, DISH or axSpA who were referred to a tertiary specialized university rheumatology center in the period of 2014 to 2020 (Rheumazentrum Ruhrgebiet Herne, Germany). Inclusion criteria included patients with low back pain referred for clinical suspicion of axSpA or for the purpose of rejection of this diagnosis, with available spine or SIJ imaging (CR or MRI) at the time of study inclusion. Imaging of the axial skeleton during the treatment period was based on a clinical indication arising from the corresponding symptoms.
Variables
Demographic (age, sex, comorbidities (hypertension, diabetes, body mass index (BMI), smoking (current, ever, pack-years) and disease data (pain on a numerical rating scale (NRS), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), association with other rheumatic diseases (rheumatoid arthritis (RA), psoriatic arthritis (PsA), psoriasis) were collected for all patients as per the center’s usual procedures. Also, laboratory data were collected (Erythrocyte Sedimentation rate (ESR), C-reactive protein (CRP), HLA-B27, uric acid, alkaline phosphatases, HbA1c). In addition, anti-rheumatic and other drugs were recorded (non-steroidal anti-inflammatory drugs (NSAIDs) prednisone, conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs), biological DMARDs (bDMARDs), aspirin, cholesterol-lowering agents, anti-hypertensive drugs, oral antidiabetics and insulin.
The final diagnosis made by the rheumatologist (DDD, DISH and axSpA) was the gold standard.
Data measurement and bias assessment
All images were performed based on standardized procedures [18] and scored according to previously described methods [19,20,21,22,23,24]. In brief, MRIs of the spine were available in STIR, T2- and T1-weighted sequences in the lateral view. CR of the spine were also available in the lateral view. MRIs of the SIJ were available in the semi-coronal and semi-axial view, while CR of the SIJ was available in the anteroposterior view. All images were evaluated by two independent trained readers, blinded to the final diagnosis. Discrepancies were solved by consensus together with an adjudicator. For analysis, the evaluation of all lesions where agreement was found between readers (in the independent reading or after consensus) was taken into account.
In CR of the spine, the number of quadrants with erosions, sclerosis, squaring, syndesmophytes, bridging syndesmophytes (SpA-like changes), spondylophytes, and bridging spondylophytes (degenerative changes) were evaluated in all segments (cervical C2-T1, thoracic T1-L1 and lumbar spine L1-S1). A patient was considered to have SpA-like changes in the presence of one of the following lesions typically related to SpA: erosions, sclerosis, squaring, and syndesmophytes. In addition, the percentage of patients with SpA-like changes and DC was recorded by disease group. On spinal MRI, the cervical, thoracic, and lumbar spine were evaluated by quadrant and on the patient level for BMO, erosions, sclerosis, and FL. A patient was considered to have SpA-like changes in the presence of one of these four lesions typically related to SpA according the ASAS-MRI definition [24].
In addition, disc units and patients were evaluated for Modic changes, Pfirrmann changes, and disc protrusion (DP) [21, 22]. For the spine, lesions were recorded if they were located at the vertebral corners, while for the SIJ, they had to be in the middle, cartilaginous part of the joint. In case of disc degeneration or cases of doubt as to the origin of the lesion, the lesions were considered degenerative and were evaluated accordingly. Modic lesions and Pfirrmann were evaluated according to their original definitions [21, 22].
CR of the SIJs were scored from 0 (normal) to 4 (ankylosis) according to the grading used in the modified New York criteria [23]. The presence of sacroiliitis was defined by having at least a grade 2 bilaterally or grade 3 unilaterally.
On MRI, SIJs were evaluated by quadrant for BMO, erosions, FL, sclerosis and ankylosis, similar to the approach used by the Berlin SIJ MRI scoring system [25], degenerative capsular ankylosis was also recorded. As in the spine, a patient was considered to have SpA-like changes in the presence of one of these lesions typically related to SpA, according to the ASAS MRI definition [20].
Statistical methods
Data are presented descriptively, using frequencies and percentages for categorical variables. According to the distribution of the variables, quantitative data have been expressed as mean and standard deviation (SD), or median and interquartile range (IQR).
Data were compared among the three diagnosis groups (DDD, DISH, and axSpA). The comparison of the variables among the three groups was performed using χ2, Mann–Whitney-U and Kruskal-Wallis tests as appropriate.
There was no imputation of missing data. Statistical analyses were performed using SPSS version 25.0 (IBM Corp., Armonk, NY, USA), with a significance threshold (p-value) of less than 0.05.
Study reporting
The study reporting complied with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement [26].
Results
Among 136 patients, 71 were diagnosed with DDD, 38 with DISH, and 27 with axSpA. Their median age was 61.5 years [IQR 55.0-72.7] (p = 0.067 among the three groups, older patients in DDD (64.0 years [56.0–73.0]) compared to axSpA (56.0 [51.0–64.0]), p = 0.020); 86 (63.2%) were males (higher proportion of males in the axSpA group (24/27 (88.9%)), compared to both DDD (38/71 (53.5%)) and DISH (24/38 (63.2%)), p = 0.003) (Table 1).
Patients had high levels of comorbidities: 91 (72.8%) had hypertension (higher in the DDD (82.8%) and DISH (72.2%) groups compared to axSpA (48%), p = 0.004). Also, 37 (27.6%) had diabetes, with a higher prevalence in DISH (39.5%) and DDD (29.0%) groups, compared to axSpA 7.4% (p = 0.012), also reflected in higher levels of HbA1c and treatment with oral antidiabetics and insulin. In addition, 65.4% of patients were classified as obese or morbidly obese (p = 0.439 among the three groups). Conversely, 31 (23.5%) were current smokers, more in the axSpA group (53.8%), compared to DISH (18.4%) and DDD (14.5%), p < 0.001 (Table 1).
Typical examples of inflammatory and degenerative changes on spinal imaging (X-rays and MRIs), including overlapping features, are shown in Fig. 1.
Availability of the imaging data
Since the imaging tests were performed according to the clinical indication, they were available for a variable proportion of patients. For the CR, cervical spine data was available for 20 patients, thoracic for spine for 128 patients, lumbar spine for 116 patients, and SIJ for 117 patients. As for the MRIs, cervical spine data was available for 27 patients, thoracic spine for 102 patients, lumbar spine for 95 patients and SIJ for 30 patients.
Spine X-rays
SpA-like changes were prevalent in the three groups (Table 2; Fig. 2). In the cervical spine, they were identified in 7/20 (35%) patients: significantly more in DDD 6/9 (66.7%) compared to DISH (0/8), and in 1/3 (33.3%) of axSpA (p = 0.013). In the thoracic spine, SpA-like changes were identified in 18/128 patients (14.1%): significantly more in DISH (10/36 (27.8%)) compared to axSpA (3/26 (11.5%)) and DDD (5/66 (7.6%)), p = 0.024. In the lumbar spine, they were identified in 32/116 (27.6%) patients: significantly more in axSpA (11/22 (50%)) compared to both DDD (14/62 (22.6%)) and DISH (7/32 (21.9%)), p = 0.033.
Degenerative changes were also highly prevalent in the three groups. They were identified at the cervical level in 12/20 (60%) patients: 5/9 (55.6%) in DDD, 5/8 (62.5%) in DISH, and 2/3 (66.7%) in axSpA (p = 1.000). At the thoracic level, they were identified in 119/128 (93.0%) of patients: 58/66 (87.9%) of DDD, 36/36 (100%) in DISH, and 25/26 (96.1%) of axSpA (p = 0.055), with significantly more bridging spondylophytes in DISH (p < 0.001). At the lumbar level, they were identified in 109/116 (93.9%) of patients: 58/62 (93.5%) in DDD, 30/32 (93.8%) in DISH, and 21/22 (95.5%) in axSpA, p = 1.000, with significantly more bridging spondylophytes in DDD and DISH compared to axSpA (p = 0.036).
Spine MRIs
Similarly, the three groups had an overlap of inflammatory and degenerative changes in spine MRIs (Table 3; Fig. 3).
In the cervical spine, BMO was present in 4/12 (33.3%) in DDD, 2/11 (18.2%) in DISH, and 1/4 (25.0%) in axSpA patients (p = 0.836). At least one degenerative change was identified in 100% of the patients in the three groups, and these were mostly Pfirrmann changes.
In the thoracic spine, BMO was present in 12/54 (22.2%) in DDD, 10/27 (37%) in DISH, and 1/21 (4.8%) in axSpA patients (p = 0.024). Fat metaplasia was observed significantly more frequently in patients with DISH (15/27 (55.6%)) and axSpA (11/21 (52.4%)), compared to DDD (14/54 (25.9%)), p = 0.014.
In the lumbar spine, BMO was observed in 18/52 (34.6%) in DDD, 10/24 (41.7%) in DISH, and 8/19 (42.1%) in axSpA patients (p = 0.769). Fat metaplasia was significantly higher in patients with axSpA (14/19 (73.7%)) and DDD (34/52 (65.4%)), compared to patients with DISH (7/24 (29.2%)), p = 0.004. Degenerative changes were present among the three groups, with 87.5–100% of patients presenting at least one degenerative change.
Sacroiliac joints X-rays
SIJ X-rays were available for 117 patients in total (61/71 DDD, 31/38 DISH, and 25/27 axSpA patients). As per the New York criteria, they were positive for sacroiliitis in 48.7% (76.0% in axSpA, 47.5% in DDD, and 29.0% in DISH, p = 0.002) (Supplementary Table 1).
MRIs of the SIJ
SIJ MRIs were available for 30 patients (11/71 DDD, 10/38 DISH, and 9/27 axSpA). BMO on any SIJ quadrant was present in 12 patients (2/11 DDD, 7/10 DISH patients, and 3/9 axSpA p = 0.052). Fat deposition on any SIJ quadrant was present in 7 patients (3/11 DDD, 0/10 DISH patients, and 4/9 axSpA, p = 0.076). Erosions were present on any SIJ quadrant in 3 patients (2/11 DDD, 0/10 DISH patients, and 1/9 axSpA, p = 0.621) (Supplementary Table 2).
Discussion
This cross-sectional study with real-life data describes a significant overlap of inflammatory and degenerative features on spinal imaging among patients with chronic LBP and diagnosed with DDD, DISH, and axSpA.
On CR, SpA-like changes were identified in patients with DISH in the thoracic spine in 28% and the lumbar spine in 22% in our study. Notably, in the thoracic spine, 3/36 patients with DISH (8.3%) had bridging syndesmophytes. In a recent study using whole spine computed tomography on 111 DISH and axSpA [27], 11% of patients with DISH had smooth-type anterior bony bridging.
On MRI, we identified SpA-like lesions in patients with DISH in all three spinal segments: BMO in 18% in the cervical, 37% in the thoracic, and 42% in the lumbar spine. Also, FL were identified in more than half of the thoracic spines. These findings align with those of Latourte et al., who reported that 58% of 53 patients with DISH met the ASAS definition of a spine MRI suggestive of axSpA, and 67% had at least one FL [16].
Conversely, in the present analysis, patients with axSpA had degenerative spine changes in 67%, 96%, and 96% on CR of the cervical, thoracic, and lumbar spine, respectively. In a study from the DESIR cohort [14], in 648 patients, degenerative lesions were found in about 70% of patients with axSpA.
Furthermore, we identified significant overlaps in the SIJ as well. On CR, SIJ were positive for SpA-like sacroiliitis according to the NY criteria in 48% of patients with DDD and 29% of those with DISH. Similarly, in a recent study on 111 DISH and axSpA [27], 63% of patients with DISH had a partial or complete SIJ fusion. In another recent study on 90 axSpA patients aged 65 years and 90 age- and sex-matched controls [28], joint space narrowing, erosion, and sclerosis were present in controls, albeit with lower rates than patients with axSpA. In that study by Fakih et al., 58% of axSpA patients had complete bilateral ankylosis, while one case (1.1%) of bilateral ankylosis was found in the control group in the context of severe DISH.
Despite the overlap, in our study, the total score average for both SIJs was significantly higher in patients with axSpA (4.50 [2.13]) compared to DDD (3.51 [1.51]) and DISH (2.53 (1.83)), p < 0.001.
On SIJ MRI, the current study identified SpA-like BMO in 70% of patients with DISH on any quadrant, bilaterally in 20%. However, FL and erosions were not identified in patients with DISH. Thus, the simultaneous presence of both inflammatory and structural changes, particularly FL and erosions, was more in favor of the axSpA diagnosis vs. DISH. In a study on 309 consecutive patients with chronic back pain diagnosed with axSpA (175) or non-SpA (134), SIJ quadrants with BMO and erosions were significantly more frequent in axSpA vs. non-SpA patients independent of age, while this difference was seen for FL only in patients ≥ 50 years [15]. Also, in a retrospective cross-sectional study of 485 non-axSpA patients, FL were identified in 50% of subjects < 45 years old and 94% of patients > 75 years old [29]. Nevertheless, SIJ erosions were rarely identified in non-axSpA individuals, as 0.6% of patients < 45 years old and 2.6% of the entire study population exhibited this feature, with no detectable age-dependent increase. Sclerosis and spondylophytes were detected in 13.7% and 37.0% of patients, respectively. Similarly, only 3.3% of DISH patients had > 3 erosions on the SIJ in the study by Latourte et al. [16], where 6/53 (15.8%) patients with an available SIJ MRI had sacroiliitis according to ASAS criteria.
The current study’s limitations are mostly related to its real-life setting: patients were diagnosed for disease categories according to the judgment of the treating rheumatologist, and SIJ imaging and HLA-B27 were available only for a proportion of patients. In fact, the relatively small number of patients, especially in some study categories, reflects the real-life setting and the prescription of imaging and laboratory tests for some difficult-to-diagnose patients. In addition, circular reasoning might have affected the study results. Finally, classification bias might occur, as some patients might be misclassified into one of the three groups, particularly in patients with PsA who might have axial involvement. However, in patients with DISH, the association with PsA is limited to 5%.
Despite these limitations, the current study provides valuable insights into the diagnostic challenges that rheumatologists face when consulting older patients with chronic LBP and supports the minimization of overdiagnosis of axSpA. Unlike most studies focused on SIJ, this study is among the few that provided detailed data about spine imaging, particularly an analysis of the three spine levels: cervical, thoracic, and lumbar. In addition, previous studies have demonstrated the reliability and reproducibility of the scoring method used for the assessment of spinal imaging [30,31,32].
Future imaging techniques and image analysis may help differentiate between axSpA and mimics. For instance, a study by Terrier et al. [33] reported that the subchondral bone attenuation coefficient of the sacroiliac margins on CT scans may help differentiate axSpA from osteocondensans ilii. Also, predictive diagnostic models, including the patient’s age, body mass index and whole-body MRI, were studied in 48 patients and showed promising diagnostic properties. However, its generalizability might be challenging due to the lack of universal availability of whole-body MRI [34].
Conclusions
In a real-life cohort of older patients referred to a tertiary center for low back pain, significant overlap occurred between inflammatory and degenerative features on spine imaging among DISH, DDD, and axSpA. Particularly, axSpA-related spine X-ray features were found in one-fourth of patients with DISH, and MRI BMO was found in one-third. Therefore, careful interpretation of imaging data should be conducted in practice, as it always should be integrated into a holistic diagnostic approach.
Data availability
No datasets were generated or analysed during the current study.
Abbreviations
- axSpA:
-
Axial spondyloarthritis
- BASDAI:
-
Bath Ankylosing Spondylitis Disease Activity Index
- BASFI:
-
Bath Ankylosing Spondylitis Functional Index
- bDMARDs:
-
Biological disease-modifying anti-rheumatic drugs
- BMI:
-
Body Mass Index
- BMO:
-
Bone marrow oedema
- CR:
-
Conventional radiographs
- CRP:
-
C reactive protein
- csDMARDs:
-
Conventional synthetic disease-modifying anti-rheumatic drugs
- DC:
-
Degenerative changes
- DDD:
-
Degenerative disc disease
- DISH:
-
Diffuse idiopathic skeletal hyperostosis
- ESR:
-
Erythrocyte Sedimentation rate
- FL:
-
Fat lesions
- HLAB27:
-
Human Leucocyte Antigen B27
- IQR:
-
Interquartile range
- LBP:
-
Low back pain
- MRI:
-
Magnetic resonance imaging
- NRS:
-
Numerical rating scale
- NSAIDs:
-
Non-steroidal anti-inflammatory drugs
- RA:
-
Rheumatoid arthritis
- PsA:
-
Psoriatic arthritis
- SIJ:
-
Sacroiliac joints
- SpA:
-
Spondyloarthritis
References
Ferreira ML, De Luca K, Haile LM, Steinmetz JD, Culbreth GT, Cross M, et al. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the global burden of Disease Study 2021. Lancet Rheumatol. 2023;5:e316–29.
The Lancet Rheumatology. The global epidemic of low back pain. Lancet Rheumatol. 2023;5:e305.
Forestier J, Rotes-Querol J. Senile Ankylosing hyperostosis of the spine. Ann Rheum Dis. 1950;9:321–30.
Saleem SN, Hawass Z. Ankylosing spondylitis or diffuse idiopathic skeletal hyperostosis in royal Egyptian mummies of 18th -20th dynasties? CT and archaeology studies. Volume 66. Hoboken, NJ: Arthritis & rheumatology; 2014. pp. 3311–6.
Olivieri I, D’Angelo S, Palazzi C, Padula A, Mader R, Khan MA. Diffuse idiopathic skeletal hyperostosis: differentiation from ankylosing spondylitis. Curr Rheumatol Rep. 2009;11:321–8.
Mader R, Novofestovski I, Adawi M, Lavi I. Metabolic syndrome and Cardiovascular Risk in patients with diffuse idiopathic skeletal hyperostosis. Semin Arthritis Rheum. 2009;38:361–5.
Resnick D, Niwayama G. Radiographic and pathologic features of spinal involvement in diffuse idiopathic skeletal hyperostosis (DISH). Radiology. 1976;119:559–68.
Kuperus JS, Oudkerk SF, Foppen W, Mohamed Hoesein FA, Gielis WP, Waalwijk J, et al. Criteria for early-phase diffuse idiopathic skeletal hyperostosis: development and validation. Radiology. 2019;291:420–6.
Oudkerk SF, De Jong PA, Attrach M, Luijkx T, Buckens CF, Mali WPTM, et al. Diagnosis of diffuse idiopathic skeletal hyperostosis with chest computed tomography: inter-observer agreement. Eur Radiol. 2017;27:188–94.
Sieper J, Poddubnyy D. Axial spondyloarthritis. Lancet. 2017;73–84.
Baraliakos X, Heldmann F, Callhoff J, Listing J, Appelboom T, Brandt J, et al. Which spinal lesions are associated with new bone formation in patients with ankylosing spondylitis treated with anti-TNF agents? A long-term observational study using MRI and conventional radiography. Ann Rheum Dis. 2014;73:1819–25.
Baraliakos X, Boehm H, Bahrami R, Samir A, Schett G, Luber M, et al. What constitutes the fat signal detected by MRI in the spine of patients with ankylosing spondylitis? A prospective study based on biopsies obtained during planned spinal osteotomy to correct hyperkyphosis or spinal stenosis. Ann Rheum Dis. 2019;78:1220–5.
McGonagle D, David P, Macleod T, Watad A. Predominant ligament-centric soft-tissue involvement differentiates axial psoriatic arthritis from ankylosing spondylitis. Nat Rev Rheumatol. 2023;19:818–27.
De Bruin F, Treyvaud MO, Feydy A, De Hooge M, Pialat J-B, Dougados M, et al. Prevalence of degenerative changes and overlap with spondyloarthritis-associated lesions in the spine of patients from the DESIR cohort. RMD Open. 2018;4:e000657.
Baraliakos X, Kuehn A, Tsiami S, Kiltz U, Fruth M, Braun J. The influence of age on the prevalence of inflammatory and structural MRI lesions in the sacroiliac joints of patients with and without axial spondyloarthritis. Rheumatology (Oxford). 2023;62:1519–25.
Latourte A, Charlon S, Etcheto A, Feydy A, Allanore Y, Dougados M, et al. Imaging findings suggestive of Axial spondyloarthritis in diffuse idiopathic skeletal hyperostosis. Arthritis Care Res. 2018;70:145–52.
Arad U, Elkayam O, Eshed I. Magnetic resonance imaging in diffuse idiopathic skeletal hyperostosis: similarities to axial spondyloarthritis. Clin Rheumatol. 2017;36:1545–9.
Sieper J, Rudwaleit M, Baraliakos X, Brandt J, Braun J, Burgos-Vargas R, et al. The Assessment of SpondyloArthritis international society (ASAS) handbook: a guide to assess spondyloarthritis. Ann Rheum Dis. 2009;68(Suppl 2):ii1–i44.
Baraliakos X, Braun J. Imaging scoring methods in Axial Spondyloarthritis. Rheumatic Disease Clin North Am. 2016;42:663–78.
Maksymowych WP, Lambert RG, Østergaard M, Pedersen SJ, Machado PM, Weber U, et al. MRI lesions in the sacroiliac joints of patients with spondyloarthritis: an update of definitions and validation by the ASAS MRI working group. Ann Rheum Dis. 2019;78:1550–8.
Modic MT, Steinberg PM, Ross JS, Masaryk TJ, Carter JR. Degenerative disk disease: assessment of changes in vertebral body marrow with MR imaging. Radiology. 1988;166:193–9.
Pfirrmann CWA, Metzdorf A, Zanetti M, Hodler J, Boos N. Magn Reson Classif Lumbar Intervertebral Disc Degeneration: Spine. 2001;26:1873–8.
van der Linden S, Valkenburg HA, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum. 1984;27:361–8.
Baraliakos X, Østergaard M, Lambert RG, Eshed I, Machado PM, Pedersen SJ, et al. MRI lesions of the spine in patients with axial spondyloarthritis: an update of lesion definitions and validation by the ASAS MRI working group. Ann Rheum Dis. 2022;81:1243–51.
Baraliakos X, Braun J. Imaging scoring methods in Axial Spondyloarthritis. Rheum Dis Clin North Am. 2016;42:663–78.
Title T, Recommendation I, Background I, Study OM, Participants S, Data V et al. STROBE 2007 (v4) Statement — Checklist of items that should be included in reports of cohort studies. 2007;2007:1–2.
Takahashi T, Yoshii T, Mori K, Kobayashi S, Inoue H, Tada K, et al. Comparison of radiological characteristics between diffuse idiopathic skeletal hyperostosis and ankylosing spondylitis: a multicenter study. Sci Rep. 2023;13:1849.
Fakih O, Ramon A, Chouk M, Prati C, Ornetti P, Wendling D, et al. Comparison of sacroiliac CT findings in patients with and without ankylosing spondylitis aged over 50 years. Sci Rep. 2023;13:17901.
Ziegeler K, Eshkal H, Schorr C, Sieper J, Diekhoff T, Makowski MR, et al. Age- and sex-dependent frequency of Fat Metaplasia and other structural changes of the sacroiliac joints in patients without Axial Spondyloarthritis: a Retrospective, cross-sectional MRI study. J Rheumatol. 2018;45:915–21.
Lukas C, Braun J, van der Heijde D, Hermann K-GA, Rudwaleit M, Østergaard M, et al. Scoring inflammatory activity of the spine by magnetic resonance imaging in ankylosing spondylitis: a multireader experiment. J Rheumatol. 2007;34:862–70.
Landewé RBM, Hermann K-GA, van der Heijde DMFM, Baraliakos X, Jurik A-G, Lambert RG, et al. Scoring sacroiliac joints by magnetic resonance imaging. A multiple-reader reliability experiment. J Rheumatol. 2005;32:2050–5.
Carmona L, Sellas A, RodrÃguez-Lozano C, Juanola X, Llorente JFG, Sueiro JLF et al. Scoring with the Berlin MRI method for assessment of spinal inflammatory activity in patients with ankylosing spondylitis: a calibration exercise among rheumatologists.
Terrier A, Fakih O, Chouk M, Prati C, Wendling D, Aubry S, et al. Subchondral bone attenuation coefficient utility of the sacroiliac margins to differentiate spondyloarthritis and osteitis condensans ilii. RMD Open. 2022;8:e002275.
Weiss BG, Bachmann LM, Pfirrmann CWA, Kissling RO, Zubler V. Whole body magnetic resonance imaging features in diffuse idiopathic skeletal hyperostosis in conjunction with clinical variables to whole body MRI and clinical variables in Ankylosing Spondylitis. J Rheumatol. 2016;43:335–42.
Acknowledgements
Not applicable.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Author information
Authors and Affiliations
Contributions
XB designed the study, participated in the data collection, evaluated the imaging studies as adjudicator, provided the patient diagnoses, and planned the analysis. NZ analyzed and interpreted the data and drafted the manuscript. MU collected the data, evaluated the imaging examinations, and gave input to the analysis. ST organized the data collection. NK evaluated the imaging studies. All authors participated in the interpretation of data and reviewed the manuscript critically for important intellectual content. All authors read and approved the final manuscript and agree to be accountable for the content.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
The analysis was approved by the ethical committee of the Ruhr-University Bochum (Nr. 21-7177-BR). Data was based on a real-life setting where the patient completed all evaluations as part of the routine practice.
Consent for publication
All patient data was anonymous. Patient’s consent was received upon agreement for treatment in the hospital according to the hospital’s rules.
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Ziade, N., Udod, M., Kougkas, N. et al. Significant overlap of inflammatory and degenerative features on imaging among patients with degenerative disc disease, diffuse idiopathic skeletal hyperostosis and axial spondyloarthritis: a real-life cohort study. Arthritis Res Ther 26, 147 (2024). https://doi.org/10.1186/s13075-024-03359-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s13075-024-03359-w