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  • Research article
  • Open Access

Sequence of joint tissue inflammation during rheumatoid arthritis development

  • 1Email author,
  • 1 and
  • 1, 2
Arthritis Research & Therapy201820:260

https://doi.org/10.1186/s13075-018-1756-z

  • Received: 12 September 2018
  • Accepted: 31 October 2018
  • Published:

Abstract

Objective

Subclinical joint inflammation in patients with arthralgia is predictive for progression to rheumatoid arthritis (RA). However, the time course of progression for bone marrow edema (osteitis), synovitis, and/or tenosynovitis is unsettled. This longitudinal study assessed the course of magnetic resonance imaging (MRI)-detected subclinical joint inflammation during progression to RA.

Methods

Patients that progressed from clinically suspect arthralgia (CSA) to RA underwent 1.5-T MRI of the metacarpophalangeal (MCP), wrist, and metatarsophalangeal (MTP) joints at presentation with arthralgia and at first identification of synovitis assessed through physical examination (n = 31). MRIs were evaluated for osteitis, synovitis, tenosynovitis, and erosions by two readers, blinded for clinical data and order in time. To estimate changes in MRI scores between the asymptomatic state and CSA onset, scores of MRI features at CSA baseline were compared with scores from age-matched symptom-free persons.

Results

At presentation with CSA, synovitis and tenosynovitis scores were higher than scores from age-matched symptom-free persons (p = 0.004 and p = 0.001, respectively). Anti-citrullinated protein antibody (ACPA)-positive arthralgia patients also had increased osteitis scores (p = 0.04). Median duration between presentation with arthralgia and RA development was 17 weeks. During progression to RA, synovitis and osteitis increased significantly (p = 0.001 and p = 0.036, respectively) in contrast to tenosynovitis and erosion scores. This pattern was similar in both ACPA subsets, although statistical significance was reached for synovitis and osteitis in ACPA-negative but not ACPA-positive RA.

Conclusion

Increased tenosynovitis and synovitis scores at CSA onset and the increase in synovitis and osteitis during progression to RA suggest an ‘outside-in’ temporal relationship of arthritis development, in particular for ACPA-negative RA. For ACPA-positive RA, further studies are needed.

Keywords

  • Rheumatoid arthritis
  • Inflammation
  • Imaging

Background

Rheumatoid arthritis (RA) can be diagnosed at the time patients present with clinically detectable inflammatory arthritis (swollen joints). It is known that immunological alterations are present long before that [1]. For instance, magnetic resonance imaging (MRI)-detected subclinical inflammation is present weeks to months before arthritis becomes clinically apparent in patients presenting with clinically suspect arthralgia (CSA) and has been shown to be predictive for RA development [2]. Nonetheless, a long-standing question is where inflammation starts in the joint, or in what order the different tissues of the joints (synovium, tenosynovium, and bone) become inflamed during the development of RA.

Several hypotheses on the chronology of arthritis development prevail. Firstly, it has been postulated that synovitis is an initial process that is succeeded by bone involvement. This is the traditional ‘outside-in hypothesis’, presuming that inflammation of the synovium precedes bone marrow edema (or osteitis) [37]. Alternatively, it has been suggested that RA is a primary bone marrow disease which subsequently encroaches upon the synovial membrane; this is the ‘inside-out hypothesis’, with osteitis preceding synovitis, a hypothesis that has become popular after imaging and histological studies revealed the presence of osteitis at locations with MRI-detected osteitis in patients with RA [4, 7, 8]. It has also been hypothesized that these processes could emerge and progress simultaneously with microscopic bone canals allowing transduction of inflammation from the outside (synovium) to the inside (bone marrow) and vice versa [4, 7, 9]. Finally, mouse models of arthritis development have shown that tenosynovitis was the initial preclinical change [10]. Extrapolation to humans would suggest that tenosynovitis rather than synovitis or osteitis is the primary feature of joint inflammation [10]. For the development of bone erosions (instead of the development of clinically apparent inflammatory arthritis) similar hypotheses have been postulated, with the primary inflammation located inside [11, 12] or outside the bone [13], respectively. Altogether, temporal relationships are yet unknown and can be discovered by longitudinal imaging studies that start in pre-arthritis phases of the disease.

To address the question about the chronological order in which the different tissues of the joints become inflamed, this longitudinal MRI study investigated the course of MRI-detected subclinical joint inflammation (synovitis, tenosynovitis, osteitis) and erosions in patients that presented with arthralgia and progressed to RA. MRIs were performed longitudinally at presentation with arthralgia and at development of RA. Although no MRIs were made in the asymptomatic phase of these patients, the MRI data obtained at presentation with arthralgia were compared with data obtained in age-matched symptom-free persons to estimate the course of inflammation before presentation with arthralgia. Finally, as anti-citrullinated protein antibody (ACPA)-positive and ACPA-negative RA are considered as different disease subsets with differences in the underlying pathophysiology, analyses were stratified for ACPA-positive and ACPA-negative RA to explore if there are differences in the chronological order in which different articular tissues become inflamed.

Patients and methods

Patients

We longitudinally followed patients that presented with CSA between April 2012 and September 2016. The Leiden CSA cohort consecutively included patients that presented at the rheumatology outpatient clinic of the Leiden University Medical Centre without clinically evident arthritis, but with recent-onset (< 1 year) arthralgia of small joints that was considered at risk for RA by their rheumatologists based on the clinical presentation [14]. A detailed description of the inclusion and exclusion criteria of the Leiden CSA cohort and the study protocol are described in [15]. Absence of clinical arthritis at baseline was ascertained through physical examination by an experienced rheumatologist.

Regular follow-up visits in the cohort were planned at 4, 12, and 24 months. If necessary (for instance, when the patient experienced more symptoms or noticed a swollen joint), patients were seen in between scheduled visits by their rheumatologist. Hence, logistics were arranged such that patients in this cohort had very easy access to rheumatology care, and clinically evident inflammatory arthritis was identified at the first opportunity. The outcome was clinically apparent arthritis, identified at joint examination by an experienced rheumatologist. Previous studies revealed that ~ 20% of patients that presented with CSA progressed to clinically apparent inflammatory arthritis [2].

For this study we selected the patients included in the CSA cohort that developed clinically apparent RA. A flowchart is provided in Fig. 1. From a total of 416 patients included in the CSA cohort during the studied period, 76 were diagnosed with RA. Serial MRI was performed at baseline and at arthritis development (but before disease-modifying antirheumatic drugs (DMARDs) were started). Of the 76 RA patients, serial MRIs were available in 35 patients. In 41 patients serial imaging was not available because four patients had contraindications for gadolinium contrast, three patients progressed to RA in a very short period of time, and 34 patients were lacking serial MRI due to logistical reasons.
Fig. 1
Fig. 1

Flowchart of selection of rheumatoid arthritis (RA) patients studied from the total CSA cohort. Patient characteristics of the different groups are provided in Additional file 1 (Table S2). DMARD disease-modifying antirheumatic drug, MR magnetic resonance, MRI magnetic resonance imaging

Thirty-five patients were diagnosed with RA and had serial MRI available. Four out of these 35 patients did not receive a prescription for a DMARD at the visit when clinical arthritis was identified (three patients subsequently had resolution of arthritis, one patient received a prescription at the next visit). Thus, in total 31 patients with a clinical diagnosis of RA and immediate prescription of DMARDs were studied. Notably, fulfilment of the 2010 classification criteria was not required to define RA since ACPA-negative patients require > 10 involved joints to fulfil these criteria [16] and this can be hampered by DMARD initiation. Nonetheless, despite this theoretical threshold, 21 patients (68%) fulfilled the 2010 criteria for RA at arthritis development. It is important to note that DMARDs (including corticosteroids) were not prescribed in the phase of arthralgia.

Symptom-free persons

Serial MRIs were not made in the period preceding presentation with CSA. To infer the course of MRI-detected subclinical inflammation over time before the phase of CSA, the MRI data from the 31 CSA patients were compared with data from symptom-free persons [17]. Symptom-free persons were matched based on age in a 1:2 ratio. These 62 symptom-free persons had no history of inflammatory rheumatic diseases, no joint symptoms during the previous month, and no evidence of synovitis at physical examination. The persons were retrieved from the general population; the recruitment procedure is described elsewhere [17]. Since gender (p = 0.10), increased body mass index (BMI) (p = 0.59) [18], and smoking (p = 0.21) had no effect on MRI-detected inflammation, matching was not performed on these factors.

MRI

Unilateral MRIs of the wrist, metacarpophalangeal (MCP) joints 2–5, and metatarsophalangeal (MTP) joints 1–5 were performed at presentation with CSA (on the most painful side) and at first presentation with clinical synovitis (the same side as scanned at baseline). A total of 18 tenosynovitis locations were scored in each patient: 10 at the wrist, including 6 extensor compartments and 4 regions on the volar side (the flexor digitorum profundus and flexor digitorum superficialis, the flexor pollicis longus, the flexor carpi ulnaris, and the flexor carpi radialis), and 8 locations at MCP joints 2–5 (paired flexor tendons and extensor tendons of the fingers). An ONI MSK Extreme 1.5-T MRI scanner (GE Healthcare, Wisconsin, USA) was used as described previously [2] and in Additional file 1 (Supplementary methods). All patients were instructed not to use nonsteroidal anti-inflammatory drugs (NSAIDs) 24 h prior to MRI, with only seven patients (23%) reporting the daily use of NSAIDs at baseline. The serial MRIs were scored blinded for clinical data and order in time by two readers for osteitis, erosions, and synovitis as described in [19] and tenosynovitis as described in [20]. The mean scores of two readers were studied. Additional information on the scoring is provided in Additional file 1 (Supplementary methods). Three readers contributed to the scoring of the MRIs. Within-reader intraclass correlation coefficients (ICCs) and between-reader ICCs were all > 0.90 and are also presented in Additional file 1 (Table S1). Results of MRI were not shared with the treating rheumatologists.

Analyses

Paired t tests were used. Longitudinal modeling was performed using generalized estimating equations (GEE); the scores of the different inflammatory features and erosions were studied over time. The GEE models, utilizing an unstructured correlation matrix, corrected for the influence of age, gender, and time to progression to RA and baseline score per feature. Residuals of GEE modeling were checked for normal distribution. Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS, version 23.0). P values < 0.05 were considered significant.

Results

Patients

Characteristics of the 31 RA patients studied were similar to the total group of 76 patients diagnosed with RA, except for a lower frequency of ACPA positivity in the studied group (Additional file 1: Table S2). Baseline characteristics of the 31 patients studied are presented in Table 1. The mean age was 44 years, 71% were female, the median tender joint count (68-TJC) was 5 (interquartile range (IQR) 4–10), 42% were rheumatoid factor-positive, and 29% were ACPA-positive. These characteristics are in line with previous research in CSA patients [15]. The median interval between presentation with arthralgia and progression to RA was 17 weeks. The characteristics of the 31 patients at the time of identification of RA are also presented in Table 1. The DMARDs that were initiated after RA development are presented in Additional file 1 (Table S3).
Table 1

Characteristics of the RA patients at presentation with clinically suspect arthralgia and at first identification of clinical arthritis and age-matched symptom-free volunteers

 

At presentation with arthralgia (n = 31)

At presentation with RA (n = 31)

Age-matched symptom-free volunteers (n = 62)

Age (years), mean (SD)

44 (14)

44 (13)

Female sex, n (%)

22 (71)

38 (61)

Symptom duration (weeks), median (IQR)

17 (9–32)

n/a

Presence of morning stiffness ≥ 60 min, n (%)

11 (35)

24 (77)

0 (0)

68-TJC, median (IQR)

5 (4–10)

7 (5–12)

0 (0–0)

66-SJC, median (IQR)

0 (0–0)

2 (1–5)

0 (0–0)

Increased CRP (≥ 5 mg/L), n (%)

6 (19)

7 (29)

n/a

Autoantibody status

 IgM-RF-positive (≥ 3.5 IU/mL), n (%)

13 (42)

13 (42)

n/a

 ACPA-positive (≥ 7 U/mL), n (%)

9 (29)

9 (29)

n/a

 Any antibody-positive (either RF or ACPA)

16 (52)

16 (52)

n/a

ACPA anti-citrullinated peptide antibody, CRP C-reactive protein, IgM-RF immunoglobulin M rheumatoid factor, IQR interquartile range, n/a not applicable or not assessed, RA rheumatoid arthritis, RF rheumatoid factor, SD standard deviation, SJC swollen joint count, TJC tender joint count

MRI data at presentation with arthralgia compared with that of age-matched symptom-free controls

Compared with age-matched symptom-free persons from the general population, CSA patients had increased tenosynovitis (mean 1.7 versus 0.27; p < 0.001) and synovitis scores (2.2 versus 0.93; p < 0.001; Fig. 2). Osteitis scores (1.9 versus 1.4; p = 0.35) and erosion scores (1.7 versus 1.8; p = 0.53) were not significantly elevated (Fig. 2) at presentation with arthralgia.
Fig. 2
Fig. 2

Magnetic resonance imaging (MRI) features of joint inflammation and erosions in patients that developed rheumatoid arthritis (RA). MRI was performed at presentation with arthralgia and at diagnosis of RA. MRIs were not made in the asymptomatic phase but the course of local inflammation before presentation with arthralgia was estimated by comparisons with age-matched symptom-free persons (1:2 ratio to patients). Since these data were not measured longitudinally, data are presented in dashed lines. *p < 0.05. CSA clinically suspect arthralgia

Inflammation increased during progression from arthralgia to rheumatoid arthritis

During progression from arthralgia to RA, the mean osteitis score increased from 1.9 to 2.7 (p = 0.036), and the mean synovitis score from 2.2 to 3.4 (p = 0.001; Fig. 2). Tenosynovitis and erosion scores did not increase significantly (mean 1.7 to 2.0, p = 0.35, and 1.7 to 1.9, p = 0.092, respectively; Fig. 2). Next, GEE models were constructed, allowing longitudinal data comparisons of MRI inflammatory scores. These models corrected for gender, age at inclusion, time interval to RA, and the score of each feature (e.g., osteitis) at presentation with CSA. GEE modeling demonstrated that only synovitis scores (β = 1.0; p = 0.004) were significantly higher at the time of RA development than at presentation with arthralgia.

Stratification for ACPA status

Finally, we explored if results were different in ACPA-positive and ACPA-negative RA patients, although absolute numbers were small (n = 9 and n = 22, respectively). ACPA-positive patients had higher osteitis scores (p = 0.04), synovitis scores (p < 0.001), and tenosynovitis scores (p < 0.001) at presentation with arthralgia compared with age-matched symptom-free persons. ACPA-negative patients had higher synovitis scores (p = 0.02) and tenosynovitis scores (p = 0.001), but the osteitis score was not different (p = 0.24). Erosion scores were not different from age-matched symptom-free persons in both ACPA-positive and ACPA-negative patients at presentation with arthralgia.

Over time, during progression from arthralgia to RA, ACPA status did not change for any of the patients. In ACPA-negative patients, osteitis and synovitis score increased significantly (1.1 to 1.7, p = 0.03, and 1.8 to 2.9, p = 0.003, respectively) during progression from arthralgia to RA, whereas tenosynovitis and erosion scores remained stable (Fig. 3). In ACPA-positive patients, no statistical significance was obtained but osteitis scores increased from 3.6 to 5.2 (p = 0.22) and synovitis from 3.1 to 4.5 (p = 0.13). Tenosynovitis scores were 1.7 and 2.3 (p = 0.32) and erosion scores were 2.4 and 2.6 at presentation with arthralgia and RA, respectively (p = 0.62; Fig. 3).
Fig. 3
Fig. 3

Magnetic resonance imaging (MRI) features of joint inflammation and erosions in patients that developed rheumatoid arthritis (RA) stratified for anti-citrullinated protein antibody (ACPA) status. MRI was performed at presentation with arthralgia and at diagnosis of RA. MRIs were not made in the asymptomatic phase but the course of local inflammation before presentation with arthralgia was estimated by comparisons with age-matched symptom-free persons (1:2 ratio to patients). Since these data were not measured longitudinally, data are presented in dashed lines. *p < 0.05 by paired t test. CSA clinically suspect arthralgia

Finally, analyses were repeated for autoantibody-positive (positive for either rheumatoid factor and/or ACPA; n = 16) and autoantibody-negative patients (n = 15). Similar results were obtained as for ACPA-positive and ACPA-negative RA patients as described above (data not shown).

Discussion

To increase our understanding of the chronological order of joint inflammation during the development of RA, serial MRIs were made in RA patients at the time of presentation with arthralgia and at first identification of RA. This revealed that synovitis and osteitis increased during the symptomatic pre-arthritis phase. In addition, data on MRI-detected subclinical inflammation obtained at presentation with arthralgia were compared with data from age-matched symptom-free persons. This showed that synovitis and tenosynovitis scores were higher in patients with arthralgia, suggesting that these features had already increased at presentation with arthralgia. The erosion scores did not increase, neither in the asymptomatic nor during the symptomatic phase preceding the identification of RA. Together, these results suggest that tenosynovitis and synovitis are the earliest inflammatory features. Subsequently, synovitis and osteitis increased over time in the symptomatic pre-arthritis phase, whereas erosions did not increase before RA had become apparent. This implies that inflammation mainly starts outside the bone (fitting the outside-in hypothesis), after which osteitis develops, which puts the joint at risk for structural damage development in the phase of clinically evident RA (if left insufficiently treated).

Stratification for ACPA status showed that synovitis and osteitis progressed similarly during the symptomatic pre-arthritis phase in both ACPA subsets, but that ACPA-positive arthralgia patients already had higher osteitis scores at presentation with arthralgia. This could be explained by a longer symptom duration of ACPA-positive patients at presentation with arthralgia: median symptom duration at baseline was 22 weeks in ACPA-positive CSA patients and 15 weeks in ACPA-negative CSA patients (Additional file 1: Table S3). As established previously, ACPA-positive RA has a more gradual onset of symptoms [21]. ACPA-positive patients may therefore have presented in a slightly later phase of the disease. Alternatively, this finding could also imply a different chronology of joint inflammation in ACPA-negative and ACPA-positive RA, with osteitis being one of the first inflammatory features in ACPA-positive RA. This could be in line with the associations of autoantibody status and osteitis scores observed in the phase of classifiable RA [22].

There are several limitations to this study. One limitation is that the analyses were performed on the sum of synovitis, osteitis, and tenosynovitis scores observed in 310 joints, 1023 bones, and 868 tendons. Whilst it would be interesting to perform similar analyses at the individual joint/bone/tendon level, this was not done because of low numbers of joints/bones/tendons with subclinical inflammation. Larger studies are needed to this end.

Another limitation is the sample size. Although all patients that developed RA from a total cohort of consecutive CSA patients (with serial MRI available) were studied, the absolute number (n = 31) is rather small. Future longitudinal imaging studies are therefore required to validate the results. Nonetheless, the present study is the largest longitudinal MRI study in a population of patients that converted from arthralgia to RA that is available to date.

Analyses were stratified for ACPA to explore differences between these subgroups, although the ACPA-positive subgroup especially was rather small. This may be explained by more intramuscular corticosteroid injections in ACPA-positive patients, preventing the performance of an MRI before DMARD initiation. Larger future studies, especially in ACPA-positive convertors, are needed.

Another limitation is that MRIs were made at first presentation with CSA and at development of RA, but no scans were made in between. Furthermore, patients were included at first presentation with clinically suspect arthralgia and were not scanned in an asymptomatic phase. Although some information on the chronology of joint inflammation in this disease phase was obtained by comparison of data obtained in age-matched symptom-free persons, this analysis was cross-sectional in nature and therefore less reliable than longitudinally collected data. Hence, future longitudinal imaging studies would be still highly relevant to further increase our understanding of RA development.

In our study, T1-weighted fat-suppressed sequences were obtained. These were previously demonstrated to have a strong correlation with T2-weighted fat-suppressed sequences in three studies [2325]. Furthermore, persistent osteitis was strongly associated with erosive progression using these sequences [11]. Taken together, these findings demonstrate that osteitis is an established risk factor for the development of articular bone erosions regardless of the acquired sequence. The lack of a significant increase in osteitis scores between asymptomatic persons and arthralgia patients is more likely to be caused by the (early) disease stage in which the patients were assessed rather than a difference due to the scanning protocol. Nevertheless, replication of our results using T2-weighted fat-suppressed sequences is warranted.

Future serial imaging studies performed in the asymptomatic phase until development of RA would be useful to further elucidate the chronology in which the different articular tissues become inflamed. However, this cannot be easily accomplished as the 5-year positive predictive value of ACPA in the general population is approximately 5% [26, 27]. Consequently, 20 symptom-free ACPA-positive persons would need to be followed for several years with serial MRIs to acquire longitudinal data of one RA patient. Studying 30 ACPA-positive RA patients already in the asymptomatic phase would require serial imaging in ~ 600 ACPA-positive symptom-free persons during several years of follow-up. Hence, although challenging, studying temporal relationships of inflammatory features during progression from the asymptomatic to the symptomatic pre-arthritis phase is a subject for follow-up research.

Animal studies have demonstrated that tenosynovitis is the earliest inflammatory joint feature in murine models [10]. Studies in CSA patients have also revealed that, of all three inflammatory features, tenosynovitis is the strongest predictor for RA development [2]. The current data, showing that tenosynovitis is a very early phenomenon, denote the importance of inflammation of synovial tendon sheaths in very early phases of RA development.

The erosion score did not increase in the pre-arthritis phase, in contrast with the osteitis score. Previous research has revealed that osteitis that persisted in the early clinical phase of RA was strongly associated with erosion development (odds ratio ~ 60) at the same location [11]. CSA patients in this study had very early access to rheumatologic care in case of symptom deterioration or if they suspected joint swelling. Therefore, we expect that patients were seen very shortly after clinical synovitis had developed. In addition, the median duration to development of RA was relatively short (17 weeks). Both factors may explain why articular bone erosions were not (yet) increased during the studied period. Based on MRI data collected in early arthritis patients [11], we anticipate that the bones with osteitis at RA presentation were at risk for development of erosions, but the time period was too brief for actual erosive progression. This is in line with previous studies showing that MRI-detected erosions predominantly developed in joints with persistent osteitis [11].

Imaging using ultrasound (US) can be used to assess the presence of synovitis and tenosynovitis. Our data, obtained in the earliest disease phases, could suggest that US could suffice for assessment of these features. However, US cannot depict osteitis which may also provide valuable information. Studies in larger patient groups are needed before the present findings can be translated to clinical practice, although the present data contribute to our understanding of clinical arthritis and RA development.

Conclusions

In summary, the data provided on RA patients suggest an increase of tenosynovitis and synovitis scores before the onset of arthralgia. Our study demonstrated that synovitis and osteitis scores increased during progression from arthralgia to clinical arthritis, suggesting an ‘outside-in’ temporal relationship of arthritis development, particularly in ACPA-negative RA. For ACPA-positive RA further studies are needed.

Abbreviations

ACPA: 

Anti-citrullinated protein antibody

BMI: 

Body mass index

CSA: 

Clinically suspect arthralgia

DMARD: 

Disease-modifying antirheumatic drug

GEE: 

Generalized estimating equations

ICC: 

Interclass correlation coefficient

IQR: 

Interquartile range

MCP: 

Metacarpophalangeal

MRI: 

Magnetic resonance imaging

MTP: 

Metatarsophalangeal

NSAID: 

Nonsteroidal anti-inflammatory drug

RA: 

Rheumatoid arthritis

SPSS: 

Statistical Package for the Social Sciences

TJC: 

Tender joint count

US: 

Ultrasound

Declarations

Acknowledgments

The authors would like to thank L. Mangnus and D. Boeters for their scoring of the magnetic resonance images.

Funding

This work was supported by a Vidi grant by the Netherlands Organisation of Health Research and Development and a Starting Grant of the European Research Council. The funding sources had no role in design or conduction of the study, nor the decision to submit the manuscript for publication.

Availability of data and materials

Data can be requested from the corresponding author.

Authors’ contributions

RMtB and AHMvdHvM contributed to the conception and study design. RMtB analyzed the data. RMtB, HWvS, and AHMvdHvM contributed to the interpretation of the data. RMtB and AHMvdHvM wrote the first version of the manuscript and RMtB, HWvS, and AHMvdHvM revised it critically. RMtB, HWvS, and AHMvdHvM read and approved the final manuscript.

Authors’ information

Not applicable.

Ethics approval and consent to participate

The study was approved by the medical ethics committee of the Leiden University Medical Centre, which is named Commissie Medische Ethiek (CME), under Ethics Approval Number NL38832.058.11. All patients signed informed consent.

Consent for publication

All authors consented for publication of the manuscript.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Rheumatology C1-R, Leiden University Medical Centre, PO Box 9600, Leiden, 2300RC, the Netherlands
(2)
Department of Rheumatology, Erasmus Medical Centre, Rotterdam, The Netherlands

References

  1. Choy E. Understanding the dynamics: pathways involved in the pathogenesis of rheumatoid arthritis. Rheumatology (Oxford). 2012;51(Suppl 5):v3–11. https://doi.org/10.1093/rheumatology/kes113.View ArticleGoogle Scholar
  2. Van Steenbergen HW, Mangnus L, Reijnierse M, et al. Clinical factors, anticitrullinated peptide antibodies and MRI-detected subclinical inflammation in relation to progression from clinically suspect arthralgia to arthritis. Ann Rheum Dis. 2016;75(10):1824–30. https://doi.org/10.1136/annrheumdis-2015-208138.View ArticlePubMedGoogle Scholar
  3. Jimenez-Boj E, Nöbauer-Huhmann I, Hanslik-Schnabel B, et al. Bone erosions and bone marrow edema as defined by magnetic resonance imaging reflect true bone marrow inflammation in rheumatoid arthritis. Arthritis Rheum. 2007;56(4):1118–24.View ArticleGoogle Scholar
  4. Schett G, Firestein GS. Mr Outside and Mr Inside: classic and alternative views on the pathogenesis of rheumatoid arthritis. Ann Rheum Dis. 2010;69(5):787–9. https://doi.org/10.1136/ard.2009.121657.View ArticlePubMedGoogle Scholar
  5. Kishimoto Y, Fukumoto S, Nishihara S, et al. Gene expression relevant to osteoclastogenesis in the synovium and bone marrow of mature rats with collagen-induced arthritis. Rheumatology (Oxford). 2004;43(12):1496–503.View ArticleGoogle Scholar
  6. Jimenez-Boj E, Redlich K, Türk B, et al. Interaction between synovial inflammatory tissue and bone marrow in rheumatoid arthritis. J Immunol. 2005;175(4):2579–88.View ArticleGoogle Scholar
  7. Bugatti S, Manzo A, Caporali R, Montecucco C. Inflammatory lesions in the bone marrow of rheumatoid arthritis patients: a morphological perspective. Arthritis Res Ther. 2012;14(6):229. https://doi.org/10.1186/ar4115.View ArticlePubMedPubMed CentralGoogle Scholar
  8. Haavardsholm EA, Bøyesen P, Østergaard M, et al. Magnetic resonance imaging findings in 84 patients with early rheumatoid arthritis: bone marrow oedema predicts erosive progression. Ann Rheum Dis. 2008;67(6):794–800.View ArticleGoogle Scholar
  9. Marinova-Mutafchieva L, Williams RO, Funa K, et al. Inflammation is preceded by tumor necrosis factor-dependent infiltration of mesenchymal cells in experimental arthritis. Arthritis Rheum. 2002;46(2):507–13.View ArticleGoogle Scholar
  10. Hayer S, Redlich K, Korb A, et al. Tenosynovitis and osteoclast formation as the initial preclinical changes in a murine model of inflammatory arthritis. Arthritis Rheum. 2007;56(1):79–88.View ArticleGoogle Scholar
  11. Nieuwenhuis WP, van Steenbergen HW, Stomp W, et al. The course of bone marrow edema in early undifferentiated and rheumatoid arthritis; a longitudinal MRI study on bone level. Arthritis Rheum. 2016;68(5):1080–8. https://doi.org/10.1002/art.39550. View ArticleGoogle Scholar
  12. Hetland ML, Ejbjerg B, Hørslev-Petersen K, et al. MRI bone oedema is the strongest predictor of subsequent radiographic progression in early rheumatoid arthritis. Results from a 2-year randomised controlled trial (CIMESTRA). Ann Rheum Dis. 2009;68(3):384–90. https://doi.org/10.1136/ard.2008.088245.View ArticlePubMedGoogle Scholar
  13. Tan AL, Tanner SF, Conaghan PG, et al. Role of metacarpophalangeal joint anatomic factors in the distribution of synovitis and bone erosion in early rheumatoid arthritis. Arthritis Rheum. 2003;48(5):1214–22.View ArticleGoogle Scholar
  14. Ten Brinck RM, van Steenbergen HW, Mangnus L, et al. Functional limitations in the phase of clinically suspect arthralgia are as serious as in early clinical arthritis; a longitudinal study. RMD Open. 2017;3(1):e000419. https://doi.org/10.1136/rmdopen-2016-000419.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Van Steenbergen HW, Van Nies JAB, Huizinga TWJ, et al. Characterising arthralgia in the preclinical phase of rheumatoid arthritis using MRI. Ann Rheum Dis. 2015;74(6):1225–32. https://doi.org/10.1136/annrheumdis-2014-205522.View ArticlePubMedGoogle Scholar
  16. Van Der Helm-van Mil AHM, Zink A. What is rheumatoid arthritis? Considering consequences of changed classification criteria. Ann Rheum Dis. 2017;76(2):315–7. https://doi.org/10.1136/annrheumdis-2016-209629.View ArticlePubMedGoogle Scholar
  17. Mangnus L, Van Steenbergen HW, Reijnierse M, Van der Helm-van Mil AHM. Magnetic resonance imaging-detected features of inflammation and erosions in symptom-free persons from the general population. Arthritis Rheumatol. 2016;68(11):2593–602. https://doi.org/10.1002/art.39749.View ArticlePubMedGoogle Scholar
  18. Mangnus L, Nieuwenhuis WP, van Steenbergen HW, et al. Body mass index and extent of MRI-detected inflammation: opposite effects in rheumatoid arthritis versus other arthritides and asymptomatic persons. Arthritis Res Ther. 2016;18(1):245.View ArticleGoogle Scholar
  19. Østergaard M, Edmonds J, McQueen F, et al. An introduction to the EULAR–OMERACT rheumatoid arthritis MRI reference image atlas. Ann Rheum Dis. 2005;64(Suppl 1):i3–7.View ArticleGoogle Scholar
  20. Haavardsholm EA, Østergaard M, Ejbjerg BJ, et al. Introduction of a novel magnetic resonance imaging tenosynovitis score for rheumatoid arthritis: reliability in a multireader longitudinal study. Ann Rheum Dis. 2007;66(9):1216–20 Epub 2007 Mar 28.View ArticleGoogle Scholar
  21. Burgers LE, van Steenbergen HW, Ten Brinck RM, et al. Differences in the symptomatic phase preceding ACPA-positive and ACPA-negative RA: a longitudinal study in arthralgia during progression to clinical arthritis. Ann Rheum Dis. 2017;76(10):1751–4. https://doi.org/10.1136/annrheumdis-2017-211325.View ArticlePubMedGoogle Scholar
  22. Boeters DM, Nieuwenhuis WP, Verheul MK, et al. MRI-detected osteitis is not associated with the presence or level of ACPA alone, but with the combined presence of ACPA and RF. Arthritis Res Ther. 2016;18(1). https://doi.org/10.1186/s13075-016-1076-0.
  23. Stomp W, Krabben A, van der Heijde D, et al. Aiming for a shorter rheumatoid arthritis MRI protocol: can contrast-enhanced MRI replace T2 for the detection of bone marrow oedema? Eur Radiol. 2014;24:2614–22. https://doi.org/10.1007/s00330-014-3272-0.View ArticlePubMedGoogle Scholar
  24. Schmid MR, Hodler J, Vienne P, et al. Bone marrow abnormalities of foot and ankle: STIR versus T1-weighted contrast-enhanced fat-suppressed spin-echo MR imaging. Radiology. 2002;224:463–9. https://doi.org/10.1148/radiol.2242011252.View ArticlePubMedGoogle Scholar
  25. Mayerhoefer ME, Breitenseher MJ, Kramer J, et al. STIR vs. T1-weighted fat-suppressed gadolinium-enhanced MRI of bone marrow edema of the knee: computer-assisted quantitative comparison and influence of injected contrast media volume and acquisition parameters. J Magn Reson Imaging. 2005;22:788–93. https://doi.org/10.1002/jmri.20439.View ArticlePubMedGoogle Scholar
  26. Hensvold AH, Frisell T, Magnusson PK, et al. How well do ACPA discriminate and predict RA in the general population: a study based on 12,590 population-representative Swedish twins. Ann Rheum Dis. 2017;76(1):119–25. https://doi.org/10.1136/annrheumdis-2015-208980.View ArticlePubMedGoogle Scholar
  27. Nielen MM, van Schaardenburg D, Reesink HW, et al. Specific autoantibodies precede the symptoms of rheumatoid arthritis: a study of serial measurements in blood donors. Arthritis Rheum. 2004;50(2):380–6.View ArticleGoogle Scholar

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