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Empirical evaluation of the inter-relationship of articular elements involved in the pathoanatomy of knee osteoarthritis using Magnetic Resonance Imaging

BMC Musculoskeletal Disorders volume 10, Article number: 133 (2009) Cite this article

Abstract

Background

In this cross-sectional study, we conducted a comprehensive assessment of all articular elements that could be measured using knee MRI. We assessed the association of pathological change in multiple articular structures involved in the pathoanatomy of osteoarthritis.

Methods

Knee MRI scans from patients over 45 years old were assessed using a semi-quantitative knee MRI assessment form. The form included six distinct elements: cartilage, bone marrow lesions, osteophytes, subchondral sclerosis, joint effusion and synovitis. Each type of pathology was graded using an ordinal scale with a value of zero indicating no pathology and higher values indicating increasingly severe levels of pathology. The principal dependent variable for comparison was the mean cartilage disease score (CDS), which captured the aggregate extent of involvement of articular cartilage. The distribution of CDS was compared to the individual and cumulative distributions of each articular element using the Chi-squared test. The correlations between pathological change in the various articular structures were assessed in a Spearman correlation table.

Results

Data from 140 patients were available for review. The cohort had a median age of 61 years (range 45-89) and was 61% female. The cohort included a wide spectrum of OA severity. Our analysis showed a statistically significant trend towards pathological change involving more articular elements as CDS worsened (p-value for trend < 0.0001). Comparison of CDS to change in the severity of pathology of individual articular elements showed statistically significant trends towards more severe pathology as CDS worsened for osteophytes (p-value for trend < 0.0001), bone marrow lesions (p = 0.0003), and subchondral sclerosis (p = 0.009), but not joint effusion or synovitis. There was a moderate correlation between cartilage damage, osteophytes and BMLs as well as a moderate correlation between joint effusion and synovitis. However, cartilage damage and osteophytes were only weakly associated with synovitis or joint effusion.

Conclusion

Our results support an inter-relationship of multiple articular elements in the pathoanatomy of knee OA. Prospective studies of OA pathogenesis in humans are needed to correlate these findings to clinically relevant outcomes such as pain and function.

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Background

The pathogenesis of osteoarthritis (OA) was traditionally thought to be a consequence of aging characterized by cartilage degeneration and bony remodeling in the affected joint [1]. However, recent research findings from both in vivo and in vitro human experiments as well as animal models suggest that OA results from the interplay of multiple factors including local inflammation, joint stability, joint loading, alignment and genetic predisposition [2–5]. Together these studies suggest a more contemporary and encompassing view of OA pathogenesis that incorporates all of the articular structures into an integrated process involving the entire joint [6, 7].

Diagnostic imaging has played an important role in the study of OA pathogenesis. Radiographs have long served as the standard imaging study for assessing OA [8]. Systems for evaluating radiographic OA such as that of Kellgren and Lawrence focus on osteophytosis and joint space narrowing [9]. Joint space narrowing is an indirect measure of articular cartilage loss [10–12]. Cartilage loss is associated with subchondral sclerosis, a process of subchondral bony remodeling that alters relative bone density. Cartilage loss has also been associated with osteophytosis, the growth of endochondral bone that is thought to be an attempt to stabilize the diseased joint [13]. The use of magnetic resonance imaging (MRI) to visualize structures such as the synovium, meniscus and bone marrow that cannot be visualized with plain radiographs has demonstrated that these structures are also affected in the context of OA [14–33].

Many studies have examined individual articular structures and various cellular and biochemical mediators involved in OA. However, there has been less attention focused on use of MRI to evaluate the involvement of a wide range of knee structures in the context of OA. Several scoring systems, most notably the Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee and the Boston Leeds Osteoarthritis Knee Score (BLOKS) have presented semi-quantitative forms that attempt to include all of the articular structures visible on MRI in a comprehensive assessment of knee OA [34–36].

In this cross-sectional analysis, we evaluated knee MRI studies from a patient cohort with widely varying degrees of OA. We used a previously reported semi-quantitative rating form to test the whole joint theory of OA pathoanatomy [37]. The form was used to assess cartilage, bone marrow lesions (BMLs), osteophytes, subchondral sclerosis, joint effusion and synovitis. We first hypothesized that the severity of cartilage damage in a given knee will be associated with both the number of articular elements involved and the severity of the changes for each articular element. We selected cartilage damage as our initial common measure of OA severity since cartilage degeneration has been a central element of previous traditional imaging studies and chondrocyte dysfunction has been shown to play a role in the cellular/biochemical aspect OA pathogenesis [38–43]. We then hypothesized correlations in the severity of multiple articular elements independent of their relationship to cartilage damage.

Methods

Cohort entry and exclusion criteria

To be eligible for this study, patients must have undergone arthroscopic partial meniscectomy (APM) in 2002 at our institution and must have been at least 45 years old at the time of surgery. APM was used to identify subjects since patients undergoing APM frequently have both OA and a preoperative knee MRI. A chart review of eligible patients was performed. Patients with documented anterior cruciate ligament repair or inflammatory arthritis were excluded. Patients with evidence of partial or complete anterior cruciate tears on MRI were excluded. We also excluded patients who did not have MRI performed at our institution to ensure that the MRI studies were all done in a standardized manner.

Institutional Review

All research conducted within this manuscript is in compliance with the Helsinki Declaration and was approved by the Partners Healthcare Institutional Review Board.

MRI scanning protocol

Each MRI examination evaluated in this study was performed according to a standardized institutional protocol. MRI of each knee at 1.5 T consisted of coronal T1 weighted spin echo (TR [relaxation time] 550 ms, TE [excitation time] 20 ms) with 3.5 mm-thick sections, a 0.5 mm intersection gap, 20.83 kHz bandwidth (BW), 2 numbers of excitations (NEX), a 14 cm field of view (FOV), 512 × 256 matrix; sagittal fast spin echo proton density weighted sequences (TR 2400 ms, TE 37 ms) with 3.5 mm-thick sections, a 0.5 mm intersection gap, 32 kHz BW, 2 NEX, a 14 cm FOV, 512 × 256 matrix; sagittal fat saturated fast spin echo proton density weighted sequences (TR 2950 ms, TE 20 ms) with 3.5 mm-thick sections, a 0.5 mm intersection gap, 32 kHz BW, 2 NEX, a 14 cm FOV, 512 × 256 matrix; coronal short tau inversion recovery sequences (TR 3000 ms, TE min Full ms, TI 160 ms) with 4.0 mm-thick sections, a 1.0 mm intersection gap, 31.25 kHz BW, 2 NEX, a 14 cm FOV, 256 × 192 matrix; and axial T2 weighted fast spin echo (TR 3625 ms, TE1/TE2 20/130 ms) with 3.5 mm-thick sections, a 0.5 mm intersection gap, 17.86 kHz BW, 1 NEX, a 14 cm FOV, 256 × 224 matrix. Scans were performed using a dedicated extremity coil.

MRI Assessment

When scoring the knee, an assessment of the articular structures was made using whichever of the available sequences provided the best information. To avoid potential bias, an independent observer not involved in the care of patients and blinded to the intention of this study evaluated the MRI scans using a standardized semi-quantitative assessment form developed by the investigators. The reader was a medical student trained by two attending musculoskeletal radiologists. The intra-rater reliability for this student was assessed in 28 patients with weighted kappas for cartilage lesion grade, cartilage lesion size, BMLs, osteophytosis and synoviitis. Caritlage lesions were judged over 12 regions, giving 12 weighted kappas. The median of these 12 weighted kappa values for cartilage grade was 0.62 and for cartilage lesion size was 0.56 [44]. Bone marrow lesions were assessed in the medial femoral condyle and medial tibial plateau. The median of these two weighted kappa values was 0.70. Osteophytes were scored for the medial and lateral compartments. The median kappa value was 0.80. Synoviitis was assessed across the entire knee with a kappa value of 0.21.

For this study, a grading form was used to evaluate pathology of six distinct articular elements: cartilage, osteophytes, subchondral sclerosis, BMLs, joint effusion and synovitis. Each type of pathology was graded using an ordinal scale with a value of zero indicating no pathology and higher values indicating increasingly severe levels of pathology. Subchondral sclerosis was similarly noted as present or absent for the medial, lateral and patellofemoral knee compartments. Subchondral sclerosis was defined as an increase the area of low signal intensity on both T1 and T2-weighted images within the subchondral bone. The methodology for scoring the MRI studies and modifications to those scores for the purpose of statistical analysis are described in Table 1. The scales for assessing cartilage and bone marrow lesions were based on previous reports [37, 44, 45]. Briefly, the size and severity of cartilage lesions were recorded for subdivisions of the medial, lateral and patellofemoral compartments. Lesion severity was graded on a seven level scale ranging from 0 = normal to 6 = full thickness cartilage loss. Of note, fraying was defined as increased signal with superficial linear pattern on fast spin echo proton density weighted or fat saturated fast spin echo proton density weighted sequences. Fissuring was defined as full thickness cartilage defect measuring < 1 mm in size on its largest dimension. Lesion size was graded on a five level scale from 0 = normal to 4 = >3 cm. In cases were multiple lesions, were present, the most severe lesion was scored. Osteophytosis was evaluated in the medial, lateral and patellofemoral compartments. Within each compartment, individual osteophytes were scored from zero to three based on their largest visible dimension (0 = <1 mm to 3 = >5 mm). The scores for all osteophytes in a compartment were totaled and this total score was categorized to yield a composite score from zero to three. For BMLs, the approximate diameter of the lesions was classified using a four level scale (0 = none to 3 = >1.5 cm). The scores for individual lesions were summed for both femoral and tibial surfaces as well as the patellofemoral compartment to give a composite score ranging from none = 0 to severe = 6+. Joint effusion was assessed based on the greatest width of the fluid accumulation perpendicular to the long-axis of the leg (0 = none: 0.0-0.5 cm to 3 = severe: >2.0 cm). Finally, synovitis was assessed based on the number of thickened villi visible on T2-weighted scans (0 = none to 3 = severe: >15 villi with marked thickening).

Table 1 MRI Assessment Criteria
Full size table

Statistical Analysis

We developed a cartilage damage score (CDS) to capture the total burden of cartilage involvement. This was calculated as the sum of all cartilage damage severity and lesion size scores across all regions of the knee. First, we created categories of none, mild, moderate and severe for cartilage signal and for cartilage lesion size. These categories are shown in Table 1. These categories were represented numerically in our analysis using a scale from 0-3. We evaluated cartilage in 17 different regions (anterior, middle and posterior thirds of medial femoral, lateral femoral, medial tibial and lateral tibial as well as three patellar regions and two trochlear regions. Cartilage signal and lesion size scores (range 0-3) were summed in each region so that each region had a possible range of 0-6 and the 17 regions had a range of 0-102. Next we divided the overall score into categories of None = 0, Mild = 1-30, Moderate = 31-60 and Severe = > 60. These categories were created on clinical grounds. We reasoned that in mild cases, fewer than half the regions would be involved and the involvement would be mild with respect to cartilage signal and lesion size. The score, given these findings, would be in the range of 1-30. On the other hand, in severe OA, more than half of the 17 regions would be involved and the region scores would be in the moderate to severe range. Thus, the overall score would be over 60.

Within each CDS group, we analyzed the percentage of the total cohort represented by three subgroupings based on the number of articular elements showing pathological changes (0-1 element, 2-3 elements, 4-5 elements). For the purpose of characterizing the severity of pathology within the cohort, we created subgroups based on the severity of pathology for individual articular elements. These groups were formed based on the classifications of the semi-quantitative MRI scoring system. This process is described in Table 1. For example, to assess synovitis or joint effusion, which were scored for the whole knee, no changes were made from the original score of none, mild, moderate or severe. For elements such as osteophytosis and BMLs, which are scored compartmentally, compartmental scores were summed over the whole knee and the resulting composites were divided evenly into four groups representing none, mild, moderate and severe pathology. The chi-squared test for trend was used to make statistical comparisons between the groupings. A Spearman test for non-parametric correlations was used to assess the inter-relationship between worsening levels of pathology for each articular element. All analyses were performed in SAS.

Results

Patient recruitment

We identified 216 patients over 45 years old who underwent arthroscopic partial meniscectomy (APM) at our institution in 2002. Of these 140 (65%) had a fully scored MRI performed at our institution and comprised the study cohort. These patients were an average to two years older than those not included. 61% of those included were female as compared with 50% of those not included. Neither of these differences were statistically significant.

Demographic characteristics of the study cohort

The cohort had a mean age of 61 years (sd 9.5, range 45 to 89). 61% of the cohort was female.

Distribution of disease severity

The distribution of cartilage disease severity scores in the study cohort is listed in Table 2. 99% of knees had some degree of cartilage signal abnormality in at least one articular surface. The most commonly affected surface was the medial femoral condyle followed by the lateral femoral condyle. All levels of cartilage damage from normal to full thickness defects were represented. 67% of knees had osteophytes. 37% had evidence of bone marrow lesions. 16% had evidence of synovitis. 63% had subchondral sclerosis. 68% had an effusion. All of the knees had meniscal tears.

Table 2 Distribution of Disease Severity within the Study Cohort for Individual Articular Elements.
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Cartilage damage vs. number of articular elements showing pathological changes

To test the whole joint hypothesis for OA, we asked if the number of articular elements showing some pathological change increased in association with worsening severity of cartilage damage. To investigate this question we divided the cohort based on the CDS into groups we termed mild, moderate and severe using the methodology described in Table 1. We formed three sub-groupings based on the number of articular structures with pathological changes in each knee (0-1 affected articular elements; 2-3 such elements; and 4-5 elements). Next, we examined the distribution of this subgrouping of articular structures involved across the CDS groups. The results are shown in Figure 1. This revealed a statistically significant trend in which knees with worse cartilage disease had a greater number of articular elements with pathological changes (p-value for trend < 0.0001).

Figure 1
figure1

The number of articular elements showing pathological changes stratified by cartilage disease score (CDS). CDS is a summation of all compartmental cartilage disease severity and lesion size scores across the entire knee. These scores were then categorized as mild, moderate and severe based on the methodology described in Table 1. The number of articular elements involved is categorized as 0-1 element, 2-3 elements and 4-5 elements. The y-axis indicates the percentage of patients in that CDS grouping with evidence of pathological change in articular elements on MRI. The articular elements included in this figure are osteophytosis, subchondral sclerosis, bone marrow lesions, joint effusion and synovitis. The trend of increasing number articular elements with increasing CDS is statistically significant (p-value for trend < 0.0001).

Full size image

Cartilage damage vs. severity of pathological changes for individual articular elements

We investigated the association of the severity of disease of individual articular elements with the severity of the cartilage disease score. We again divided the cohort into three groups based on the CDS. Within these groups we created subgroupings based on the severity of disease for individual articular elements. Each of the articular elements included in this analysis-- osteophytes, BMLs, joint effusion, and synovitis-- was graded as none, mild, moderate, or severe except for subchondral sclerosis, which was graded as present or absent. The criteria for these classifications are listed in Table 1. We compared the distribution of these subgroupings across CDS groups. The results are shown in Figure 2. This analysis revealed a statistically significant trend, in which worse CDS scores were associated with worse severity of disease for osteophytes (p < 0.0001), BMLs (p = 0.0003) and subchondral sclerosis (p = 0.009), but not joint effusion or synovitis (p > 0.50 for each).

Figure 2
figure2

Association of cartilage degeneration severity with pathology for osteophytes, bone marrow lesions, subchondral sclerosis, joint effusion and synovitis. There are 5 groupings of CDS scores along the x-axis indicating the articular element being examined. These elements are bone marrow lesions, osteophytosis, subchondral sclerosis, joint effusion and synovitis. For each of these elements, three vertical bars are presented, representing mild, moderate and severe cartilage disease score (CDS). The legend shows sub-groupings based on the severity of disease for an individual articular element. The classification schema for these sub-groupings is described in Table 1. The y-axis indicates the percentage of patients in a CDS grouping with evidence of the severity of pathological change for each sub-grouping. The trend toward greater involvement of each element with greater CDS score is evident for osteophytes (p-value for trend < 0.0001), bone marrow lesions (p = 0.0003) and subchondral sclerosis (p = 0.009), but not synovitis (p = 0.58) or effusion (p = 0.46).

Full size image

Spearman correlation coefficients between individual elements

Finally, we investigated the relationship between individual articular elements using the Spearman non-parametric correlation coefficient. The test assessed the correlation between increasing severity of pathology in each articular element. The results of this analysis are shown in Table 3. Of note, cartilage damage had a moderately strong correlation with BMLs and osteophytes. There was a moderate correlation between joint effusion and synovitis. However, joint effusion and synovitis had only a weak correlation with osteophytes or cartilage damage.

Table 3 Spearman correlation coefficients for increasing severity of pathology between articular elements.
Full size table

Discussion

We investigated the inter-relationship of multiple articular elements involved the pathoanatomy of OA in a cohort of 140 patients who had arthroscopic partial meniscectomy and knee MRI at our institution in 2002. We used a semi-quantitative MRI grading form to evaluate each MRI study. The MRI studies were routine, clinical exams using a 1.5 T MRI scanner. The scoring form quantitatively evaluated the severity of individual articular elements including cartilage, osteophytosis, subchondral sclerosis, bone marrow lesion, joint effusion and synovitis. Knees with worse cartilage damage had a greater number of articular elements showing pathological changes. Worse cartilage damage was also associated with greater disease severity for the majority of the articular elements examined. We also examined the correlation between increasing severity of pathology in each articular element. This showed a moderate correlation between cartilage damage, osteophytes and BMLs as well as a moderate correlation between joint effusion and synovitis. However, cartilage damage and osteophytes were only weakly associated with synovitis or joint effusion. These are the first data we are aware of examining the inter-relationship between pathological changes of multiple articular elements in a patient cohort. Our results support the theory that OA pathoanatomy involves most articular elements of the knee.

Our findings are consistent with previously reported data using in vivo and in vitro models of OA pathogenesis. In the following paragraph, we briefly review the inter-relationships of the various articular elements that have been previously reported. The central role of hyaline cartilage loss in the pathogenesis has been well established [38–43]. Joint space narrowing, osteophytosis and subchondral sclerosis have all been shown to be closely associated in the pathogenesis of OA [13, 46, 47]. A previous study by Hayes et al. has shown a significant association between worsening Kellgren Lawrence grade on knee radiographs and pathology of cartilage, osteophytes, meniscal tears, synovitis, and joint effusion on MRI [48]. Bone marrow lesions (BMLs) have been shown to be strong risk factors for structural deterioration of knee OA [23]. The risk of cartilage deterioration in the setting of BMLs appears to be independent of pre-existing OA [49, 50]. The relationship of BMLs to pain is less clear. Felson et al. have shown a strong relationship between the presence of BMLs and knee pain [22]. However, other studies have not shown that changes in the size or number of lesions correlate with changes in WOMAC score [51, 52]. Inflammation of the synovium may contribute to the progression of OA through the production of inflammatory cytokines that promote cartilage degradation and alteration of the lubricating properties of the synovial fluid [53, 54]. There is some debate as to the optimal MRI sequences for imaging the synovium. Bredella et al. have shown that the proton density and fast spin echo images with fat suppression, such as the ones used in this study, have a high sensitivity and specificity for detecting synovial pathology when compared to arthroscopy [55]. However, some authors favor the use of gadolinium [17]. The assessment of synovium can be based on hypertrophy at selected sites [20] or a comprehensive assessment of synovial volume [16]. Overall moderate to good agreement has been demonstrated between both of these methods of assessment [56].

The use of patients with concomitant meniscal pathology is a potentially confounding factor. Several recent studies have shown that the meniscus is frequently involved in knees with OA. In a large cohort of 245 elderly subjects aged 70-79 with knee OA the prevalence of meniscal lesions was 83% in men and 73% in women [31]. The meniscal abnormalities were strongly associated with cartilage defects. However, the presence of meniscal pathology in the setting of OA is poorly correlated with patient symptoms. One study demonstrated that patients with OA and meniscal tears did not have any more knee pain than patients with OA alone [33]. A recent paper showed that in patients with radiographic evidence of OA, the prevalence of meniscal tears among patients with knee pain was 63% versus 60% among those with no symptoms [30].

The cross-sectional design of this study imposed limitations such as an inability to prospectively follow pathological changes in individual knees over time and an inability to use clinical criteria in the selection of our patient cohort. In particular, the cross-sectional nature of the data makes it impossible to determine which features come first in the sequence of pathogenesis. Thus, we cannot use our data to support or disprove specific pathophysiological mechanisms. Another potential limitation of this study is the use of exact measurements to assess the size of specific articular elements such as cartilage defects, BMLs or osteophytes rather than proportional measurements normalized to patient size. However, this issue is unlikely to distort the findings of our analyses because we do not make specific comparisons across gender or height. The strengths of our study included the use of standardized MRI assessment tool and MRI assessment by a trained observer blinded to the intention of the study.

Conclusion

Our results support the inter-relationship of multiple articular elements in the pathoanatomy of knee OA. These findings highlight the need for future studies of OA pathogenesis in humans using MRI. Specifically, future studies will need to investigate the correlation of the scoring methods used in this study with clinical symptoms and radiographic progression of OA in a prospective cohort.

References

  1. 1.

    Felson DT: An update on the pathogenesis and epidemiology of osteoarthritis. Radiol Clin N Am. 2004, 42: 1-9. 10.1016/S0033-8389(03)00161-1.

    Article  PubMed  Google Scholar 

  2. 2.

    Jasin HE: Immune mechanisms in osteoarthritis. Semin Arthritis Rheum. 1989, 18: 86-90. 10.1016/0049-0172(89)90023-1.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Wordsworth P: Genes and arthritis. Br Med Bull. 1995, 51: 249-66.

    CAS  PubMed  Google Scholar 

  4. 4.

    Holderbaum D, Haqqi TM, Moskowitz RW: Genetics and osteoarthritis. Exposing the iceberg. Arthritis Rhem. 1999, 42: 397-405. 10.1002/1529-0131(199904)42:3<397::AID-ANR1>3.0.CO;2-X.

    CAS  Article  Google Scholar 

  5. 5.

    Bijkerk C, Houwing-Duistermaat JJ, Vlakenburg HA, Meulenbelt I, Hofman A, Breedveld FC, Pols HA, van Duijn CM, Slagboom PE: Heritabilities of radiologic osteoarthritis in peripheral joints and of disc degeneration of the spine. Arthitis Rheum. 1999, 42: 1729-35. 10.1002/1529-0131(199908)42:8<1729::AID-ANR23>3.0.CO;2-H.

    CAS  Article  Google Scholar 

  6. 6.

    Conaghan PG, Felson D, Gold G, Lohmander S, Totterman S, Altman R: MRI and non-cartilaginous structures in knee osteoarthritis. Osteoarthritis Cartilage. 2006, 14: A87-A94. 10.1016/j.joca.2006.02.028.

    Article  PubMed  Google Scholar 

  7. 7.

    Samuels J, Krasnokutsky S, Abramson SB: Osteoarthritis: A tale of three tissues. Bull NYU Hosp Jt Dis. 2008, 66: 244-50.

    PubMed  Google Scholar 

  8. 8.

    Felson DT, Zhang Y, Hannan MT, Naimark A, Weissman BN, Aliabadi P, Levy D: The incidence and natural history of knee osteoarthritis in the elderly. Arthritis Rheum. 1995, 38: 1500-5. 10.1002/art.1780381017.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Kellgren JK, Lawrence JS: Radiological assessment of osteoarthritis. Ann Rheum Dis. 1957, 16: 494-501. 10.1136/ard.16.4.494.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Sharma L, Song J, Felson DT, Cahue S, Shamiyeh E, Dunlop DD: The role of knee alignment in disease progression and functional decline in knee osteoarthritis. JAMA. 2001, 286: 188-95. 10.1001/jama.286.2.188.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Buckland-Wright JC, Macfarlane DG, Lynch JA, Jasani MK, Bradshaw CR: Joint space width measures cartilage thickness in osteoarthritis of the knee: high resolution plain film and double contrast macroradiographic investigation. Ann Rheum Dis. 1995, 54: 263-8. 10.1136/ard.54.4.263.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Mazzuca SA, Brandt KD, Katz BP: Is conventional radiography suitable for evaluation of a disease-modifying drug in patients with knee osteoarthritis?. Osteoarthritis Cartilage. 1997, 5: 217-26. 10.1016/S1063-4584(97)80017-9.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Dieppe PA, Cushnaghan J, Shepstone L: The Bristol 'OA500' study: progression of osteoarthritis (OA) over 3 years and the relationship between clinical and radiographic changes at the knee joint. Osteoarthritis Cartilage. 1997, 5: 87-97. 10.1016/S1063-4584(97)80002-7.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Fernandez-Madrid F, Karvonen RL, Teitge RA, Miller PR, Negendank WG: MR features of osteoarthritis of the knee. Magn Reson Imaging. 1994, 12: 703-9. 10.1016/0730-725X(94)92194-6.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Fernandez-Madrid F, Karvonen RL, Teitge RA, Miller PR, An T, Negendank WG: Synovial thickening detected by MR imaging in osteoarthritis of the knee confirmed by biopsy as synovitis. Magn Reson Imaging. 1995, 13: 177-83. 10.1016/0730-725X(94)00119-N.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Østergaard M: Different approaches to synovial membrane volume determination by magnetic resonance imaging: manual versus automated segmentation. Br J Rheumatol. 1997, 36: 1166-77. 10.1093/rheumatology/36.11.1166.

    Article  PubMed  Google Scholar 

  17. 17.

    Østergaard M, Stoltenberg M, Lovgreen-Nielsen P, Volck B, Jensen CH, Lorenzen I: Magnetic resonance imaging-determined synovial membrane and joint effusion volumes in rheumatoid arthritis and osteoarthritis. Comparison with the macroscopic and microscopic appearance of the synovium. Arthritis Rheum. 1997, 40: 1856-67. 10.1002/art.1780401020.

    Article  PubMed  Google Scholar 

  18. 18.

    Østergaard M, Stoltenberg M, Lovgreen-Nielsen P, Volck B, Sonne-Holm S, Lorenzen I: Quantification of synovitis by MRI: correlation between dynamic and static gadolinium-enhanced magnetic resonance and microscopic and macroscopic signs of the synovial inflammation. Magn Reson Imaging. 1998, 16: 743-54. 10.1016/S0730-725X(98)00008-3.

    Article  PubMed  Google Scholar 

  19. 19.

    Volck B, Johansen JS, Stoltenberg M, Garbarsch C, Price PA, Ostergaard M, Ostergaard K, Lovgreen-Nielsen P, Sonne-Holm S, Lorenzen I: Studies on YKL-40 in knee joints of patients with rheumatoid arthritis and osteoarthritis. Involvement of YKL-40 in the joint pathology. Osteoarthritis Cartilage. 2001, 9: 203-14. 10.1053/joca.2000.0377.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Hill CL, Gale DG, Chaisson CE, Skinner K, Kazis L, Gale ME, Felson DT: Knee effusions, popliteal cysts and synovial thickening: association with knee pain in those with and without osteoarthritis. J Rheumatol. 2001, 28: 1330-7.

    CAS  PubMed  Google Scholar 

  21. 21.

    Dieppe P: Subchondral bone should be the main target for the treatment of pain and disease progression in osteoarthritis. Osteoarthritis Cartilage. 1999, 7: 325-6. 10.1053/joca.1998.0182.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Felson DT, Chaisson CE, Hill CL, Totterman SMS, Gale ME, Skinner KM, Kazis L, Gale DR: The association of bone marrow lesions with pain in knee osteoarthritis. Ann Intern Med. 2001, 134: 541-9.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Felson DT, McLaughlin S, Goggins J, LaValley MP, Gale E, Totterman S, Li W, Hill C, Gale D: Bone Marrow Edema and Its Relation to Progression of Knee Osteoarthritis. Ann Intern Med. 2003, 139: 330-336.

    Article  PubMed  Google Scholar 

  24. 24.

    Boegard TL, Rudling O, Petersson IF, Jonsson K: Magnetic resonance imaging of the knee in chronic knee pain. A 2-year follow-up. Osteoarthritis Cartilage. 2001, 9: 473-80. 10.1053/joca.2001.0414.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Garnero P, Peterfy C, Zaim S, Schoenharting M: Bone marrow abnormalities on magnetic resonance imaging are associated with type II collagen degredation in knee osteoarthritis. Arthritis Rheum. 2005, 52: 2822-9. 10.1002/art.21366.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Lo GH, Hunter DJ, Zhang Y, McLennan CE, LaValley M, Kiel DP, McLean RR, Genant HK, Guermazi A, Felson DT: Bone marrow lesions in the knee are associated with increased local bone density. Arthritis Rheum. 2005, 52: 2814-21. 10.1002/art.21290.

    Article  PubMed  Google Scholar 

  27. 27.

    Lotke PA, Ecker ML, Barth P, Lonner JH: Subchondral magnetic resonance imaging changes in early osteoarthrosis associated with tibial osteonecrosis. Arthroscopy. 2000, 16: 76-81.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Sowers MF, Hayes C, Jamadar D, Capul D, Lachance L, Jannausch M, Welch G: Magnetic resonance-detected subchondral bone marrow and cartilage defect characteristics associated with pain and X-ray-defined knee osteoarthritis. Osteoarthritis Cartilage. 2003, 11: 387-93. 10.1016/S1063-4584(03)00080-3.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Link TM, Steinbach LS, Ghosh S, Ries M, Lu Y, Lane N, Mujumdar S: Osteoarthritis: MR imaging findings in different stages of disease and correlation with clinical findings. Radiology. 2003, 226: 373-81. 10.1148/radiol.2262012190.

    Article  PubMed  Google Scholar 

  30. 30.

    Englund M, Guermazi A, Gale D, Hunter DJ, Aliabadi P, Clancy M, Felson DT: Incidental meniscal findings on knee MRI in middle-aged and elderly persons. N Engl J Med. 2008, 359: 1108-15. 10.1056/NEJMoa0800777.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Guermazi A, Taouli B, Lynch JA, Li J, Peterfy CG, Wildy K, Kritchevsky S, Chen Y, Harris T, Lane NE, Genant HK, Nevitt MC: Prevalence of meniscus and ligament tears and their correlation with cartilage morphology and other MRI features in knee osteoarthritis (OA) in the elderly. The Health ABC Study. Arthritis Rheum. 2002, 46 (Suppl): S567-

    Google Scholar 

  32. 32.

    Taouli B, Guermazi A, Zaim S, Peterfy CG, Mohr A, Felson D, Wildy K, Wang BWE, Lynch JA, Harris T, Fan B, Lane NE, Genant HK, Nevitt MC: Prevalence and correlates of knee cartilage defects, meniscal lesions and other abnormalities evaluated by MRI in a population sample of knees with normal x-rays. The Health ABC Study. Arthritis Rheum. 2002, 46 (Suppl): S148-

    Google Scholar 

  33. 33.

    Bhattacharyya T, Gale D, Dewire P, Totterman S, Gale ME, McLaughlin S, Einhorn TA, Felson DT: The clinical importance of meniscal tears demonstrated by magnetic resonance imaging in osteoarthritis of the knee. J Bone Joint Surg Am. 2003, 84: 4-9.

    Google Scholar 

  34. 34.

    Peterfy CG, Guermazi A, Zaim S, Tirman PF, Miaux Y, White D, Kothari M, Lu Y, Fye K, Zhao S, Genant HK: Whole-Organ Magnetic Resonance Imaging Score (WORMS) of the knee in osteoarthritis. Osteoarthritis Cartilage. 2004, 12: 177-90. 10.1016/j.joca.2003.11.003.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Kornaat PR, Ceulemans RY, Kroon HM, Riyazi N, Kloppenburg M, Carter WO, Woodworth TG, Bloem JL: MRI assessment of knee osteoarthritis: Knee Osteoarthritis Scoring System (KOSS) - inter-observer and intra-observer reproducibility of a compartment-based scoring system. Skeletal Radiol. 2005, 34: 95-102. 10.1007/s00256-004-0828-0.

    Article  PubMed  Google Scholar 

  36. 36.

    Hunter DJ, Lo G, Gale D, Grainger A, Guermazi A, Conaghan PG: The reliability of a new scoring system for knee osteoarthritis MRI and the validity of bone marrow lesion assessment: BLOKS (Boston Leeds Osteoarthritis Knee Score). Ann Rheum Dis. 2008, 67: 206-11. 10.1136/ard.2006.066183.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Biswal S, Hastie T, Andriacchi TP, Bergman GA, Dillingham MF, Lang P: Risk factors for progressive cartilage loss in the knee: A longitudinal magnetic resonance imaging study in forty-three patients. Arthritis Rheum. 2002, 46: 2884-92. 10.1002/art.10573.

    Article  PubMed  Google Scholar 

  38. 38.

    Mankin HJ, Dorfman HD, Lipiello L, Zarins A: Biochemical and metabolic abnormalities in articular cartilage from osteoarthritic human hips. II. Correlation of morphology with metabolic data. J Bone Joint Surg. 1971, 53A: 523-37.

    Google Scholar 

  39. 39.

    Hulth A, Lingberg L, Telhag H: Mitosis in human osteoarthritic cartilage. Clin Orthop. 1972, 84: 197-9. 10.1097/00003086-197205000-00032.

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Ryu J, Treadwell BV, Mankin HJ: Biochemical and metabolic abnormalities in normal and osteoarthritic human articular cartilage. Arthritis Rheum. 1984, 27: 49-57. 10.1002/art.1780270109.

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Lippiello L, Hall D, Mankin HJ: Collagen synthesis in normal and osteoarthritic human cartilage. J Clin Invest. 1977, 59: 593-600. 10.1172/JCI108676.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Brandt KD: Enhanced extractability of articular cartilage protoglycans in osteoarthrosis. Biochem J. 1974, 143: 475-8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Altman RD, Pita JC, Howell DS: Degradation of proteoglycans in human osteoarthritic cartilage. Arthritis Rheum. 1973, 16: 179-85. 10.1002/art.1780160207.

    CAS  Article  PubMed  Google Scholar 

  44. 44.

    Yoshioka H, Zou KH, Bhagwat JG, Neumann G, Meredith DS, Lang P: Location-specific intra- and inter-reader reproducibility of MRI cartilage scoring in the knee joint. [Abstract] 18th ECR. 2006, [http://www.abstractsonline.com/viewer/?mkey=%7B6748FA35%2DD7A5%2D44B0%2DB8D4%2D4E2E51850B06%7D]

    Google Scholar 

  45. 45.

    Neumann G, Mendicuti AD, Zou KH, Minas T, Coblyn J, Winalski CS, Lang P: Prevalence of labral tears and cartilage loss in patients with mechanical symptoms of the hip: evaluation using MR arthrography. Osteoarthritis Cartilage. 2007, 15: 909-17. 10.1016/j.joca.2007.02.002.

    CAS  Article  PubMed  Google Scholar 

  46. 46.

    Cicuttini FM, Baker J, Hart DJ, Spector TD: Association of pain with radiological changes in different compartments and views of the knee joint. Osteoarthritis Cartilage. 1996, 4: 143-7. 10.1016/S1063-4584(05)80323-1.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Lanyon P, O'Reilly S, Jones A, Doherty M: Radiographic assessment of symptomatic knee osteoarthritis in the community: definition and normal joint space. Ann Rheum Dis. 1998, 57: 595-601. 10.1136/ard.57.10.595.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Hayes CW, Jamadar DA, Welch CW, Jannausch ML, Lachance LL, Capul DC, Sowers MR: Osteoarthritis of the knee: comparison of MR imaging findings with radiographic severity measurements and pain in middle-aged women. Radiology. 2005, 237: 998-1007. 10.1148/radiol.2373041989.

    Article  PubMed  Google Scholar 

  49. 49.

    Davies-Tuck ML, Wluka AE, Wang Y, English DR, Giles GG, Cicuttini FM: The natural history of bone marrow lesions in community based adults with no clinical knee osteoarthritis. Ann Rheum Dis. 2008, 68 (6): 904-8. 10.1136/ard.2008.092973.

    Article  PubMed  Google Scholar 

  50. 50.

    Wluka AE, Hanna FS, Davies-Tuck ML, Wang Y, Bell RJ, Davis SR, Adams J, Cicuttini FM: Bone Marrow Lesions predict increase in knee cartilage defects and loss of cartilage volume in middle-aged women without knee pain over 2 years. Ann Rheum Dis. 2008, 68 (6): 850-5. 10.1136/ard.2008.092221.

    Article  PubMed  Google Scholar 

  51. 51.

    Kornaat PR, Kloppenburg M, Sharma R, Botha-Scheepers SA, Le Graverand MP, Coene LN, Bloem JL, Watt I: Bone marrow edema-like lesions change in volume in the majority of patients with osteoarthritis; associations with clinical features. Eur Radiol. 2007, 17: 3073-8. 10.1007/s00330-007-0711-1.

    Article  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Phan CM, Link TM, Blumenkrantz G, Dunn TC, Ries MD, Steinbach LS, Majumdar S: MR imaging findings in the follow-up of patients with different stages of knee osteoarthritis and correlation with clinical symptoms. Eur Radiol. 2006, 16: 608-18. 10.1007/s00330-005-0004-5.

    Article  PubMed  Google Scholar 

  53. 53.

    Van den Berg W, Van den Kraan PM, Van Beuningen HM: Synovial mediators of cartilage damage and repair in osteoarthris. Osteoarthritis. Edited by: Brandt KD, Doherty M, Lohmander LS. 2003, Oxford: Oxford University Press, 147-55. 2

    Google Scholar 

  54. 54.

    Jay GD, Elsaid KA, Zack J, Robinson K, Trespalacios F, Cha CJ, Chichester CO: Lubricating ability of aspirated synovial fluid from emergency department patients with knee joint synovitis. J Rheumatol. 2004, 31: 557-64.

    PubMed  Google Scholar 

  55. 55.

    Bredella MA, Tirman PFJ, Wischer TK, Belzer J, Taylor A, Genant HK: Reactive synovitis of the knee joint: MR imaging appearance with arthroscopic correlation. Skeletal Radiol. 2000, 29: 577-82. 10.1007/s002560000259.

    CAS  Article  PubMed  Google Scholar 

  56. 56.

    Rhodes LA, Grainger AJ, Keenan AM, Thomas C, Emery P, Conaghan PG: The validation of simple scoring methods for evaluating compartment specific synovitis detected by MRI in knee osteoarthritis. Rheumatology. 2005, 44: 1569-73. 10.1093/rheumatology/kei094.

    CAS  Article  PubMed  Google Scholar 

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Acknowledgements

Funding Sources: The Doris Duke Foundation, NIH P60 AR 47782, K24 AR 02123

Author information

Affiliations

  1. The Section of Clinical Sciences, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA

    Elena Losina & Jeffrey N Katz

  2. Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA

    Gesa Neumann & Philipp K Lang

  3. Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA

    Dennis S Meredith

  4. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA

    Elena Losina

  5. Department of Radiological Services, University of California Irvine, Irvine, CA, USA

    Hiroshi Yoshioka

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  1. Dennis S Meredith
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  2. Elena Losina
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  3. Gesa Neumann
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  4. Hiroshi Yoshioka
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  5. Philipp K Lang
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  6. Jeffrey N Katz
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Correspondence to Dennis S Meredith.

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Competing interests

The authors declare that they have no competing interests.

Authors' contributions

DSM helped to design the study, score MRIs and prepared the manuscript. EL performed all statistical analyses and helped prepare the manuscript. GN and HY created the MRI scoring form and helped to edit the manuscript. PK helped to design the MRI scoring form and edit the manuscript. JNK designed the study, helped perform statistical analyses and prepare the manuscript. All authors have read and approved the final manuscript.

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Meredith, D.S., Losina, E., Neumann, G. et al. Empirical evaluation of the inter-relationship of articular elements involved in the pathoanatomy of knee osteoarthritis using Magnetic Resonance Imaging. BMC Musculoskelet Disord 10, 133 (2009). https://doi.org/10.1186/1471-2474-10-133

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Keywords

  • Synovitis
  • Cartilage Damage
  • Joint Effusion
  • Bone Marrow Lesion
  • Magnetic Resonance Imaging Assessment

BMC Musculoskeletal Disorders

ISSN: 1471-2474

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