Rheumatoid arthritis (RA) is a chronic autoimmune disease depicted by synovial inflammation leading to local and systemic bone loss. The aim of this study was to evaluate by a HR-pQCT (High Resolution Peripheral Quantitative Computed Tomography) study which parameters are associated with volume of bone erosions including bone mineral density (BMD) around erosions (VOI 1 to 4 = volume of interest), BMD of metacarpophalangeal (MCP) head, BMD of radius, presence of osteophytes and joint space width (JSW).
Methods
Fifty female RA patients (18–50 years) were enrolled in this study. Demographic and disease-specific data, laboratory inflammatory parameters and handgrip test were performed. All patients underwent HR-pQCT of 2nd and 3rd MCP joints and distal radius, according to established protocols. The volume of bone erosions was evaluated by MIAF (Medical Image Analysis Framework) software. Osteophytes were analyzed by manual method.
Results
The mean of age and disease duration were 40.0 ± 6.0 yrs. and 10.8 ± 4.8 yrs., respectively. According to DAS-28 (Disease Activity Score), 54% (27) of the sample were in remission. However, when SDAI (Simplified Disease Activity Index) was used, only 18% (9) were under remission. The mean of HAQ (Health Assessment Questionnaire), ESR (Erythrocyte sedimentation rate) and CRP (C reactive protein) were 0.9 ± 0.7, 13.9 ± 12.2 mm and 5.6 ± 7.5 mg/mL, respectively. Forty-six bone erosions (0.9 ± 1.2 erosion/patient) and 14 osteophytes (0.3 ± 0.7 osteophyte/patient) were found in 2nd MCP head. The median (IQR-Interquartile range) of volume of erosion and volume of osteophytes were 14.9 (5.7;35.9)mm3 and 3.1 (2.1, 4.3)mm3, respectively. The mean of JSW was 80.5 ± 34.2 mm3. The volume of bone erosions was negatively correlated with BMD of 2nd MCP head, VOI-4 and JSW; and it was positively correlated with osteophytes number. Regarding absence or presence of erosion in 2nd MCP head, a significant difference was found between BMD of MCP head, osteophyte number and JSW. Multiple linear regression analysis showed that only BMD of 2nd MCP head was independently associated with volume of bone erosions.
Conclusion
BMD of MCP head was independently associated with volume of bone erosion, suggesting that this parameter should be used to analyze and monitoring bone destruction, as well as to evaluate treatment response in RA patients.
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Abkürzungen
RA
Rheumatoid Arthritis
HR-pQCT
High Resolution Peripheral Quantitative Computed Tomography
BMD
Bone Mineral Density
VOI
Volume of Interest
MCP
Metacarpo-phalangeal
JSW
Joint Space Width
MIAF
Medical Image Analysis Framework
DAS
Disease Activity Score
SDAI
Simplified Disease Activity Index
HAQ
Health Assessment Questionnaire
ESR
Erythrocyte Sedimentation Rate
CRP
C Reactive Protein
IQR
Interquartile Range
DXA
Dual- energy X-ray absorptiometry
aBMD
Areal Bone Mineral Density
Tt.vBMD
Total volumetric bone mineral density
Tb.vBMD
Trabecular volumetric bone mineral density
Ct.vBMD
Cortical volumetric bone mineral density
Tb.N
Trabecular number
Tb.Th
Trabecular thickness
Tb.Sp
Trabecular separation
Ct.Th
Cortical thickness
SD
Standard deviation
DMARDs
Disease Modifying Anti-Rheumatic Drugs
anti-CCP
Antibodies to cyclic citrullinated peptide
Background
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by persistent synovial inflammation and bone loss that might lead to progressive joint damage, especially in small joints of hands and feet, deformities and functional disability [1]. Bone damage in RA is depicted by bone erosions, and these destructions depends on many features as autoantibodies, tight treatment control and disease duration [2].
It is also well established that patients with RA develop both local and systemic bone loss, which is mainly mediated by inflammation [3], leading to an increased fracture risk independently of glucocorticoid use [4]. During early stages of RA, the disease gradually develops joint swelling, stiffness and pain, besides that patients often have a history of long timing symptoms when first presenting to a rheumatologist. Periarticular demineralization of metacarpal bones may already be present at this stage, representing an early radiologic manifestation visible on plain radiographs [5, 6], with a closed association to inflammatory activity in RA [7]. However, data on quantifying periarticular bone loss in RA patients is not precise when standard techniques are used, as plain radiography [8, 9] or dual- energy X-ray absorptiometry (DXA), restricted to areal bone mineral density (aBMD), validated for femur and spine [10, 11].
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High-resolution peripheral quantitative computed tomography (HR-pQCT), is an in vivo clinical imaging technique, enable to assessment bone microarchitecture quantifying trabecular and cortical bone in radius and tibia [12]. In addition, this technique arises as an important tool to bone structure analysis in inflammatory bone diseases, mainly in RA patients, especially because of its capability in detecting precise dimensions of even small erosions or bone proliferation in metacarpophalangeal (MCP) head [13, 14]. Until now, there are only a few published articles using this technology to evaluate focal bone loss in RA patients, and none of them compared periarticular BMD with volume of bone erosions [15‐17]. Besides, it has been proposed that erosions healing starts by bone apposition at the bottom of the lesions, so that the BMD around erosion should be more related to volume of erosions than total metacarpal head BMD, and osteosclerosis could represent healing of erosions [18].
In this way, the aim of this study was to evaluate which parameters are associated with volume of bone erosions including BMD around erosions, BMD of 2nd metacarpophalangeal head, BMD of radius, presence of osteophytes and joint space width.
Methods
Subjects
Fifty female RA patients were selected to the present study from the Rheumatoid Arthritis Outpatient Clinics from Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo-Brazil. All patients between 18 and 50 years who fulfilled the inclusion criteria and accepted to participate were enrolled in this study. The local ethics committee approved the study and all participants read and signed the informed consent for the study.
Demographic and disease-specific data (treatment, disease duration, disease activity) were collected, as well as laboratory specific measures were performed: erythrocyte sedimentation rate (ESR) and C reactive protein (CRP). Swollen joint count-28, tender joint count-28, visual analogue scale for patient and physician global disease activity and visual analogue pain scale were assessed by an experient rheumatologist (MOP), in order to determine DAS-28 (disease activity score) and SDAI (simplified disease activity index).
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Exclusion criteria
Exclusion criteria were other associated autoimmune diseases, postmenopausal women, current pregnancy, kidney failure, uncontrolled diabetes, malabsorption diseases, other diseases of the bone metabolism (hyperparathyroidism, Paget’s disease and bone dysplasia), neoplasms solid and hematological, and use of bisphosphonates at the current time or in the last year.
HR-pQCT acquisition
All patients underwent scans of distal radius from non-dominant side, and scans of 2nd and 3rd MCP joints of the dominant hand, according to SPECTRA group established protocol [19]. Image acquisition was performed using an XtremeCT first generation scanner from Scanco Medical (Scanco Medical AG, Brüttisellen, Switzerland). Radius scans were performed with a stack of 110 parallel CT slices with an isotropic voxel size of 82 × 82 × 82 mm. For the assessments, the patient’s non-dominant forearm was positioned in the thumb-up position according to the manufacturer’s standard in vivo protocol [20]. For MCPs analysis, the dominant hand was positioned in an outstretched prone position and padded (Fig. 1). The same custom-made holder was used for all patients’ assessments. Scanning was performed within 80 slices distal to and 242 slices proximal to the surface of the third metacarpal head. Motion grade artefacts were characterized to both radius and MCPs analysis, from grades 1 to 5 according to literature [21], and only grades 1 to 3 were used, in case of grades 4 and 5, the scan was repeated.
×
Distal radius analysis
The images were segmented and processed using a standard protocol (Scanco Medical AG, Brüttisellen, Switzerland) [20]. First, a semi-automated segmentation is applied to the original grayscale image to contour the periosteal surface. After that, the cortical and trabecular regions were segmented automatically by the analysis protocol and then densitometric and structural parameters from HR-pQCT images became available as following: Tt.vBMD (total volumetric bone mineral density), Tb.vBMD (trabecular volumetric bone mineral density) and Ct.vBMD (cortical volumetric bone mineral density), as well as Tb.N (trabecular number), Tb.Th (trabecular thickness), Tb.Sp (trabecular separation) and Ct.Th (cortical thickness).
Peripheral bone changes assessment (erosions and osteophytes)
In order to precisely achieve the relationship between volume of bone erosion with local BMD, in this study we considered only the analysis of 2nd metacarpal heads. However, the scans were done evaluating both 2nd and 3rd MCPs of dominant hand in all patients. For specific site of bone lesions, the metacarpal head was divided into 4 quadrants (I = palmar, II = ulnar, III = dorsal and IV = radial). Erosions were defined as breaks in the cortical bone shell, which were visible in at least 2 planes, and osteophytes were defined as bony protrusions emerging from the juxta-articular cortical shell that were visible in at least 2 planes [22]. The number of bone lesions in each quadrant was counted. MCP heads with more than one erosion or osteophyte, only the size of the largest lesion was measured.
The erosion volume was evaluated by semi-automated software named MIAF (Medical Image Analysis Framework) that applies a full 3D segmentation of erosions, previously published [14, 23]. Briefly, MCP segmentation is made and the periosteal surface ‘closes’ the cortical breaks, then the operator places a seed point in each lesion. Then, the erosion is segmented using the level-set method, and inflating a spherical structure centered at the seed point, which stops at trabecular bone, at the same time the periosteal segmentation is used as the edge of the analyzed erosion, after that some manual correction might be assembled by the user if necessary. Besides the erosion volume, MIAF automatically gives the total BMD of metacarpal head, BMD around analyzed erosions, separated by 4 layers [VOI (volume of interest) 1 to 4], both results are given in mg/cm3 (Fig. 2), and the joint space width, expressed in mm3.
×
Osteophytes were analyzed according to the manual method, previously described [13]. Briefly, after the open-source Digital Imaging and Communication in Medicine viewer (OsiriX software, version 7.5) assessed the images, the osteophytes were considered geometrically as a cone with an axial ellipsoid base. Then, the ellipsoid area multiplied by a perpendicular height of the osteophyte and divided by 3 accounts for the volume in mm3.
Statistical analysis
The data analysis was performed using IBM SPSS software, version 22.0. Gaussian distribution was tested by the Kolmogorov-Smirnov test. All data are expressed as mean and standard deviation (SD), number (%) or median and interquartile range (IQR), as appropriate. Spearman’s correlation test was applied in order to assess the interdependence of structural and densitometric parameters. Presence or absence of erosions in 2nd MCP head subgroups was compared using Mann-Whitney test. A multiple linear regression was calculated using the stepwise forward method, considering p < 0.05 as level of inclusion and the volumetric trabecular BMD of radius (representative of systemic bone loss), with volume of erosion used as a dependent variable. P values less than 0.05 were considered significant.
Results
In this cross-sectional study, 50 female patients with established RA were enrolled. All demographic, clinical and laboratory parameters are described in Table 1. When DAS-28 is considered, 54% (n = 27) of all patients were under remission, on the other hand, when SDAI analysis is used, remission is found in only 18% (9) patients. The mean of handgrip evaluation was 18.0 ± 7.3 N, which is accountable for lower strength compare to healthy women at the same age (around 28 N) [24]. Regarding the current treatment during the study, 62% (31) of all analyzed women were using glucocorticoids, 94% (47) received conventional Disease Modifying Anti-Rheumatic Drugs (DMARDs) and 43% (21) were in treatment with biological DMARDs.
Table 1
Demographic and clinical characteristics of the RA patients enrolled in the study
Variables
N = 50
Clinical parameters
Age. years
40.0 ± 6.0
Disease duration. Years
10.8 ± 4.8
Disease activity score-28 (DAS-28)
2.7 (2.1; 3.1)
Remission. N(%)
27 (54%)
Mild disease activity. N(%)
5 (10%)
Moderate disease activity. N(%)
17 (34%)
High disease activity. N(%)
1 (2%)
SDAI
10.9 ± 8.2
Remission. N(%)
9 (18%)
Mild disease activity. N(%)
18 (36%)
Moderate disease activity. N(%)
20 (40%)
High disease activity. N(%)
3 (6%)
Hand Grip. N
18.0 ± 7.3
Current Treatment
Glucocorticoids. N(%)
31 (62%)
conventional DMARDs. N(%)
47 (94%)
biological DMARDs. N(%)
21 (43%)
HAQ
0.9 ± 0.7
Laboratory Parameters
ESR. mm/h
13.9 ± 12.2
CRP. mg/L
5.6 ± 7.5
The results are expressed as mean ± standard deviation (SD). mean (IQR = interquartile range) or N(%). SDAI Simplified disease activity index, DMARD Disease Modifying Anti-Rheumatic Drugs, HAQ Health assessment questionnaire, ESR Erythrocyte sedimentation rate. CRP C reactive protein
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In order to correlate the BMD around erosive lesions with volume of these erosions with more precision, considering that the great majority of all bone lesions in the hand are found at the 2nd MCP joints, it was analyzed here only data of the 2nd MCP head. Forty-six erosions (0.9 ± 1.2 erosion per patient), with an erosion volume median (IQR) of 14.9 (5.7; 35.9) mm3 were found in the 2nd MCP head. It was also found 15 osteophytes (0.3 ± 0.7 osteophyte per patient), with a volume median (IQR) of 3.1 (2.1; 4.3) mm3. The joint space width was 80.5 ± 34.9 mm3. Descriptive data of all BMD values are described in Table 2.
Table 2
Bone mineral density values of all HR-pQCT analyzed sites
HR-pQCT Site
BMD
2nd MCP head (number of patients = 50). mg/cm3
302.6 ± 56.6
Layers around erosion (number of patients = 26). mg/cm3
VOI-1
393.8 ± 81.2
VOI-2
347.7 ± 91.7
VOI-3
321.8 ± 78.3
VOI-4
304.9 ± 79.0
Radius (number of patients = 49). g/cm3
Ct.vBMD
868.8 ± 64.4
Tb.vBMD
152.7 ± 40.3
The results are expressed as mean ± standard deviation (SD). BMD Bone Mineral Density, Ct.vBMD Cortical volumetric bone mineral density, Tb.vBMD Trabecular volumetric bone mineral density, VOI Volume of Interest
Not surprisingly, the volume of bone erosions were significantly correlated with number of erosions (r = 0.82, p < 0.001). Moreover, volume of bone erosions was negatively correlated with BMD in 2nd MCP head (r = − 0.53, p < 0.001), VOI-4 (r = − 0.48, p = 0.017) and joint space width (r = − 0.40, p = 0.005) and positively correlated with number of osteophytes (r = 0.32, p = 0.026). Furthermore, the sample was categorized by absence or presence of erosion in 2nd MCP head (Table 3) and a significant difference was found regarding to BMD of 2nd MCP head (321.5 ± 37.1 vs. 281.3 ± 67.6 mg/cm3, p = 0.043) (Fig. 3), number of osteophyte (0.1 ± 0.4 vs. 0.5 ± 0.8, p = 0.028) and joint space width (93.5 ± 36.9 vs. 68.2 ± 28.3, p = 0.025).
Table 3
The sample was categorized by the presence or not of bone erosions in 2nd MCP head
Variables
Absence of Erosion (N = 24)
Presence of Erosion (N = 26)
P
Age, years
39.7 ± 6.3
40.6 ± 5.5
0.594
Disease duration, years
10.7 ± 5.3
11.2 ± 4.4
0.831
DAS-28
2.5 ± 1.3
2.6 ± 0.8
0.815
SDAI
12.8 ± 8.8
10.2 ± 8.0
0.271
HAQ
1.0 ± 0.7
0.7 ± 0.6
0.271
Hand Grip, N
18.6 ± 7.8
17.6 ± 6.5
0.670
Number of Osteophyte
0.1 ± 0.4
0.5 ± 0.8
0.028a
BMD of MCP head, mg/cm3
321.5 ± 37.1
281.3 ± 67.6
0.043a
Joint space width, mm3
93.5 ± 36.9
68.2 ± 28.3
0.025a
Radio
Ct.vBMD, mg HA/cm3
875.1 ± 58.7
865.5 ± 70.1
0.602
Tb.vBMD, mg HA/cm3
147.4 ± 39.1
155.6 ± 43.6
0.109
Tibia
Ct.vBMD, mg HA/cm3
925.7 ± 33.3
905.2 ± 49.5
0.215
Tb.vBMD, mg HA/cm3
139.2 ± 32.2
149.2 ± 34.6
0.382
The results are expressed as mean ± standard deviation (SD). DAS-28 Disease activity score 28, SDAI Simplified disease activity index, HAQ Health assessment questionnaire, BMD Bone mineral density. MCP Metacarpophalangeal, Ct.vBMD Cortical volumetric bone mineral density, Tb.vBMD Trabecular volumetric bone mineral density. aStatistical significance
×
A multiple linear regression was performed using volume of bone erosion as dependent variable, and as independent variables it was used number of erosions, number of osteophytes, joint space width, BMD of 2nd MCP head, VOI-4 and volumetric trabecular BMD of radius. The multivariate analysis found that BMD of 2nd MCP head was the only variable associated with volume of bone erosion (B = − 0.81, p = 0.003, adjusted R2 = 0.32).
Discussion
Our study demonstrated that BMD of 2nd MCP head was the only variable independently associated with erosion size, showing that bone mineral density of total MCP head is rather more important than BMD around erosions (presence or absence of osteosclerosis at the bottom of some erosive lesions), BMD at distal radius, presence of osteophytes and joint space width.
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Many studies in RA patients have demonstrated an association between bone erosions and the development of local and systemic bone loss, as osteopenia and osteoporosis [25, 26]. It is also well known that this periarticular osteopenia is the earliest radiographic change in RA patients, prior to the development of erosions [5]. However, the exactly site of joint related to bone erosion has not yet been evaluated and quantified. Black et al. [11] identified patients who were at risk of developing erosive disease at 12 months studying total hand BMD by DXA and erosions through hand and feet radiographs, scored using van der Heijde modification of the Sharp method. However, DXA method evaluates areal BMD, and HR-pQCT is able to analyze volumetric BMD. Moreover, it has been demonstrated that HR-pQCT scans allow detailed identification of articular bone damage [22, 27]. Besides that, through MIAF, the software we used here for bone erosions analysis, it was possible quantifying precisely both bone erosions in cubic millimeters (mm3) and periarticular bone loss [20, 28], as well as focal BMD around erosions [14]. Digital x-ray radiogrammetry is another method frequently used in many studies to assess hand or MCP BMD in arthritis patients, showing a good correlation between local bone loss and disease progression, but this still represents a semiquantitative method [7, 29, 30].
On the other hand, perilesional bone has been associated with erosion progression, and findings of osteosclerosis in this region might represent healing of erosions, even though these outcomes were evaluated according to semiquantitative scores, suggesting that BMD around erosions could be more associate with the volume of destructive lesions than BMD in other sites [31, 32].
Bone damage arises early in the course of RA [33]. Currently, the treat-to-target main purpose of RA management is based on prompt detection and control of erosion size, which represents directly the local amount of bone destruction. After the introduction of biologic therapies, precise procedures have been required to recognize parameters that could be associated with bone damage. In fact, this is one of the main purposes at RA studies, since it could allow an identification and selection of patients for more intensive therapy, including earlier addition of biologic agents, in order to limit severity and disease progression. Furthermore, it has been shown that routine disease activity biomarkers are not good predictors for radiologic progression damage in RA patients [34, 35]. Antibodies to cyclic citrullinated peptide (anti-CCP), CRP, other inflammatory markers levels, and initial radiographic damage are currently used to distinguish patients at greatest risk for increasing progressive bone destruction, in order to achieve aggressive treatment strategies in designated group of RA patients [36, 37]. Additionally, despite the advent of biologic agents, RA remains leading to joint destruction in most of the patients. In this way, identifying parameters that might be used for prediction of patients at risk of erosion progression is the target of most studies. Thus, the results of this study can be used to speculate that, in longitudinal investigations, it might be possible to identify earlier structural bone changes as periarticular bone loss, distinguishing patients who have a rapid radiographic progressive erosive RA from those with more insidious disease.
However, our study is not without limitations, as the size of the sample, as well as the analysis of only women. Nonetheless, RA is a disease typical found in female. Another limitation is the fact that both machine (HR-pQCT) and software (MIAF) are not widespread used, being found mainly in research centers. Further longitudinal studies may be needed, with both male and female genders to extend the findings.
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Summarizing, our data showed that volume of erosions are closely and negatively associated with periarticular bone mineral density. Even when different BMD sites were analyzed as distal radius or BMD around erosions, periarticular bone loss remained the most important variable associated to the amount of bone destruction. Because detection of erosion size is an important goal in tracking RA progression and evaluating therapeutic reaction, our paper suggests that BMD of MCP head could be a helpful parameter to analyze and monitoring bone destruction, as well as to evaluate treatment response in RA patients.
Ethics approval and consent to participate
The Ethic Committee from Hospital das Clinicas da faculdade de Medicina FMSUP da Universidade de Sao Paulo has approved the work (CAAE: 51178115.1.0000.0068). All participants read and signed the informed consent for the study.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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