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. Author manuscript; available in PMC: 2012 May 1.
Published in final edited form as: Osteoarthritis Cartilage. 2011 Mar 23;19(5):557–588. doi: 10.1016/j.joca.2010.10.029

Systematic review of the concurrent and predictive validity of MRI biomarkers in OA

DJ Hunter †,‡,*, W Zhang §, Philip G Conaghan ||, K Hirko , L Menashe , L Li , WM Reichmann , E Losina
PMCID: PMC3268360  NIHMSID: NIHMS348907  PMID: 21396463

SUMMARY

Objective

To summarize literature on the concurrent and predictive validity of MRI-based measures of osteoarthritis (OA) structural change.

Methods

An online literature search was conducted of the OVID, EMBASE, CINAHL, PsychInfo and Cochrane databases of articles published up to the time of the search, April 2009. 1338 abstracts obtained with this search were preliminarily screened for relevance by two reviewers. Of these, 243 were selected for data extraction for this analysis on validity as well as separate reviews on discriminate validity and diagnostic performance. Of these 142 manuscripts included data pertinent to concurrent validity and 61 manuscripts for the predictive validity review. For this analysis we extracted data on criterion (concurrent and predictive) validity from both longitudinal and cross-sectional studies for all synovial joint tissues as it relates to MRI measurement in OA.

Results

Concurrent validity of MRI in OA has been examined compared to symptoms, radiography, histology/pathology, arthroscopy, CT, and alignment. The relation of bone marrow lesions, synovitis and effusion to pain was moderate to strong. There was a weak or no relation of cartilage morphology or meniscal tears to pain. The relation of cartilage morphology to radiographic OA and radiographic joint space was inconsistent. There was a higher frequency of meniscal tears, synovitis and other features in persons with radiographic OA. The relation of cartilage to other constructs including histology and arthroscopy was stronger. Predictive validity of MRI in OA has been examined for ability to predict total knee replacement (TKR), change in symptoms, radiographic progression as well as MRI progression. Quantitative cartilage volume change and presence of cartilage defects or bone marrow lesions are potential predictors of TKR.

Conclusion

MRI has inherent strengths and unique advantages in its ability to visualize multiple individual tissue pathologies relating to pain and also predict clinical outcome. The complex disease of OA which involves an array of tissue abnormalities is best imaged using this imaging tool.

Keywords: Osteoarthritis, Magnetic resonance imaging, Validity

Introduction

Magnetic Resonance Imaging (MRI) is being developed as a method to assess joint morphology in osteoarthritis (OA), with the goal of providing a sensitive non-invasive tool for the study of healthy and diseased states, and a means of assessing the effectiveness of interventions for osteoarthritis. Traditionally structural assessment of OA has relied upon the plain radiograph which has capacity to image the joint space and osteophytes1. MRI has many advantages in visualizing the joint, and recent efforts are yielding a variety of approaches that offer the potential for monitoring this prevalent synovial joint disease2. Because OA is a disease of the whole synovial joint, not just the cartilage, measurements of structure need to be seen broadly and capture important anatomic features, including osteophytes, effusions, meniscal tears, subchondral bone architectural changes or ligamentous instability, in addition to cartilage loss2. There is an abundant literature describing the concurrent validity of MRI as it relates to comparable constructs such as histology and radiography but little if any effort has been made to systematically summarize this literature.

Similarly the merits of any OA structural assessment will undoubtedly be assessed for their clinical relevance. There are multiple determinants of pain and functional limitation in OA and there may be many more unknown3. Many studies have examined whether the loss of structural integrity is in some way the physical correlate of these symptoms. Traditionally most epidemiologic studies have relied upon plain radiography to define disease. The major limitation of this method is that measures of symptoms correlate poorly with x-ray features. Less than 50% of people with evidence of OA on plain radiographs have symptoms related to these findings4. Uncertainty as to whether measurements of MRI structure alone will adequately reflect what structure connotes, or whether other metrics of structure should also be considered, need to be systematically evaluated. The relationships between structure and pain and/or function and between structure and future outcomes (e.g., arthroplasty) are critical in determining the clinical relevance of MRI.

In psychometrics, validity refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. There are many types of validity of which one, criterion validity, is used to demonstrate the accuracy of a measure or procedure by comparing it with another measure or procedure which has been demonstrated to be valid. There is a contention in the OA field about the validity of a number of biomarkers and clinical endpoints and their inclusion here is in an effort to be comprehensive and does not diminish the credible concerns about the lack of well validated clinical endpoints5. If the test data and criterion data are collected at the same time, this is referred to as concurrent validity evidence. If the test data is collected first in order to predict criterion data collected at a later point in time, then this is referred to as predictive validity evidence. The purpose of this systematic review was to summarize the OA MRI literature with regards to both concurrent and predictive validity.

Material and methods

Systematic literature search details

An online literature search was conducted using the OVID MEDLINE (1945–), EMBASE (1980–) and Cochrane databases (1998–) to identify the articles published up to April 2009, with the search entries “MRI”, and “osteoarthritis”, “osteoarthritides”, “osteoarthrosis”, “osteoarthroses”, “degenerative arthritis”, “degenerative arthritides”, or “osteoarthritis deformans”. The abstracts of the 1330 citations received with this search were then preliminarily screened for relevance by two reviewers (KH and DJH). For this preliminary search, all articles which used MRI, in some form, on patients with osteoarthritis of the knee, hip, or hand were included. Although review articles were not included (see Inclusion/exclusion criteria), citations found in any review articles which were not already included in our preliminary search were screened for possible inclusion in this study. This added 7 more relevant studies to our search. One further article was added, before publication, by one of authors of this meta-analysis bringing the preliminary total to 1338.

Inclusion/exclusion criteria

Only studies published in English were included. Studies presenting non-original data were excluded, such as reviews, editorials, opinion papers, or letters to the editor. Studies with questionable clinical relevance and those using non-human subjects or specimens were excluded. Studies in which rheumatoid, inflammatory, or other forms of arthritis were included in the OA datasets were excluded, as well as general joint-pertinent MRI studies not focused on OA. Studies with no extractable, numerical data were excluded. Only those articles which had some measure of diagnostic performance were included. Any duplicates which came up in the preliminary search were excluded. Of the preliminary 1338 abstracts, 243 were selected for data extraction (Fig. 1).

Fig. 1.

Fig. 1

Flow chart of the screening process for articles included in the systematic review.

Data abstraction

Two reviewers (KH and LM) independently abstracted the following data: (1) patient demographics; (2) MRI make, sequences and techniques used, tissue types viewed; (3) study type and funding source; (4) details on rigor of study design to construct the Downs methodological quality score6; (5) MRI reliability/reproducibility data; (6) MRI diagnostic measures and performance; (7) gold standard measures against which the MRI measure was evaluated; (8) treatment and MRI measures (when appropriate).

The Downs methodological quality score6 collects a profile of scores for both randomized trials and observational studies in terms of quality of reporting, internal validity (bias and confounding), power, external validity so that the overall study quality score reflects all of these elements. Answers were scored 0 (No) or 1 (Yes), except for one item in the Reporting subscale, which scored 0–2 and the single item on power, which was scored 0–5. The possible range is from 0 to 27 where 0 represents poor quality and 27 optimal quality.

We used a data abstraction tool constructed in EpiData (Entry version 2.0 Odense, Denmark) and more than one reviewer undertook the data abstraction. The data collection forms were designed to target the objectives of the review, and were piloted prior to conducting the study.

The outcomes for psychometric properties on MRI were examined using the OMERACT filter7,8. The specific focus of this review is upon the truth domain: is the measure truthful, does it measure what it intends to measure? More specifically we were interested in criterion validity; for both the concurrent [Does it agree (by independent and blind comparison) with a measure that reflects the same concept] and predictive [Does it predict (by independent and blind comparison) a future ‘gold standard’] validity of MRI in OA. If the test data and criterion data are collected at the same time, this is referred to as concurrent validity evidence. If the test data is collected first in order to predict criterion data collected at a later point in time, then this is referred to as predictive validity evidence.

It is critical to delineate what we mean by the various terms used, as current usage is often incorrect, and this ambiguity may stem from an incorrect understanding of appropriate definitions. Whilst there are several definitions that have been proposed913, the brief synthesis of some working definitions is as follows:

  1. biological marker (biomarker)— a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes or pharmacologic responses to a therapeutic agent.

  2. clinical endpoint—a clinically meaningful measure of how a patient feels, functions, or survives.

For the purposes of this analysis, MRI (the biomarker) is directly compared both to clinical endpoints (symptoms, total knee replacement (TKR)) as well as other biomarkers (including radiography, CT, histology, arthroscopy, alignment). The presentation of the data in the results reflects presentation of clinical endpoints before comparison with other biomarkers.

There is some overlap in the manuscripts for which data is extracted for these two types of validity. The large majority of studies for concurrent validity were cross-sectional studies although some longitudinal studies reported cross-sectional results and thus are included in the concurrent validity data. There is no attempt made to create summary estimates as the validity effect measures [i.e., odds ratio (OR), Beta coefficient, r, P-value of difference] used in this literature are very heterogeneous.

Results

Concurrent validity (Table I)

Table I.

Summary table of studies reporting data on concurrent validity of MRI in OA

Reference: Author,
Journal,
Year, PMID
Whole sample
size
No. of
cases
No. of
controls
Age, yrs, mean(SD), range No. (%) of females Quantitative
cartilage
Compositional
techniques
Semi-quantitative Cartilage Synovium Bone Bone marrow
lesions
Meniscus Ligament Study
design
Score of
methodological
quality
Chan WP;
American Journal
of Roentgenology;
1991; 189204036
20 20 0 58(Range: 42–73) 11 No No Yes Yes No No No Yes Yes Cross-sectional 6
McAlindon TE;
Annals of the
Rheumatic Diseases;
1991; 199486190
12 No No Yes Yes Yes Yes No Yes No Case control 3
Li KC;
Magnetic Resonance
Imaging;
1988; 339872891
10 10 0 (Range: 33–78) 9(90%) No No Yes Yes No No No No No Longitudinal
Prospective
4
Fernandez-Madrid F;
Magnetic Resonance
Imaging;
1994; 793465692
92 52 40 Controls: 49(15),
(Rang: 22–78);
OA patients: 55(14),
(Range: 25–86)
60 No No Yes Yes Yes No No Yes No Cross-sectional 11
Karvonen RL;
Journal of
Rheumatology;
1994; 796607527
92 52 40 Reference: 49(15),
(Range: 22–78);
All OA patients: 55(14),
(Range: 25 –86);
Bilateral OA: 53(13),
(Range: 25–73)
60 Yes No No Yes No Yes No No No Case control 11
Peterfy CG; Radiology; 1994; 802942093 8 5 3 62(Range: 45–82) 4(50%) Yes No No Yes No No No No No Cross-sectional 4
Blackburn WD Jr; Journal of Rheumatology; 1994; 803539237 33 33 0 62.7(9.1), (Range: 44–79) 17 No No Yes Yes No No No No No Cross-sectional 6
Broderick LS; American Journal of Roentgenology; 1994; 827370061 23 13 10 No No Yes Yes No No No No No Cross-sectional 4
Miller TT; Radiology; 1996; 881655294 384 47(Range: 14–88) No No Yes Yes No No No Yes Yes Cross-sectional 8
Dupuy DE; Academic Radiology; 1996; 895918157 7 TKA patients: (Range: 64–75); Asymptomatic: 35(Range: 25–35) 3 Yes No No Yes No No No No No Other 6
Kenny C; Clinical Orthopaedics & Related Research; 1997; 918621595 136 No No Yes No No No No Yes No Case control 6
Breitenseher MJ; Acta Radiologica; 1997; 933224896 60 12 48 37(14.3), (Range: 15–68) 30(50%) No No Yes No No No No Yes No Cross-sectional 5
Ostergaard M; British Journal of Rheumatology; 1997; 940286097 46 14 47 70(Range: 24–85) No No No No Yes No No No No Cross-sectional 7
Trattnig S; Journal of Computer Assisted Tomography; 1998; 944875498 20 20 0 72.2(Range: 62–82) 18 No No Yes Yes No No No No No Other 8
Kawahara Y; Acta Radiologica; 1998; 952944062 72 58(Range: 41–74) 46 No No Yes Yes No No No No No Other 6
Drape JL; Radiology; 1998; 964679263 43 43 0 63(Range: 53–78) 30 No No Yes Yes No No No No No Cross-sectional 5
Eckstein F; Clinical Orthopaedics & Related Research; 1998; 967804256 8 0 8 50.6(Range: 39–64) Yes No No Yes No No No No No Other 7
Uhl M; European Radiology; 1998; 972442358 22 (Range: 50–72) No No Yes Yes No No No No No Cross-sectional 5
Boegard T; Acta Radiologica - Supplementum; 1998; 975912199 61 No No Yes Yes No No No Yes No Longitudinal
Prospective
5
Bachmann GF; European Radiology; 1999; 993339964 320 29.3(8.7), (Range: 13–56) 122 No No Yes Yes No No No Yes No Cross-sectional 7
Cicuttini F; Osteoarthritis & Cartilage; 1999; 10329301100 28 Males: 40.4(Range: 42–58); Females: 31.2(8.6); 11 Yes No No Yes No No No No No Cross-sectional 7
Boegard T; Annals of the Rheumatic Diseases; 1999; 10343536101 58 Women: 40.4(Range: 42–58); Men: 57(49.5), (Range: 41–57) 29 No No Yes Yes No No No No No Cross-sectional 6
Adams JG; Clinical Radiology; 1999; 1048421644 62 32 30 No No Yes Yes No No No Yes No Case control 8
Pham XV; Revue du Rhumatisme; 1999; 10526380102 10 10 10 67.2(7.34), (Range: 57–80) 6 No No Yes No No No No No Yes Cross-sectional 13
Gale DR; Osteoarthritis & Cartilage; 1999; 1055885043 291 233 58 No No No No No No No Yes No Case control 10
Kladny B; International Orthopaedics; 1999; 1065329059 26 Yes No No Yes No No No No No Cross-sectional 6
Zanetti M; Radiology; 2000; 10831707103 16 16 0 67(Range: 43–79) 15 Yes No No Yes No Yes Yes No No Cross-sectional 6
Jones G; Arthritis & Rheumatism; 2000; 11083279104 92 92 0 Boys: 12.8(2.7); Girls: 12.6(2.9) 43 Yes No No Yes No Yes No No No Cross-sectional 13
McCauley TR; American Journal of Roentgenology; 2001; 11159074105 193 40(Range: 11–86) 83 No No Yes Yes No No No Yes Yes Cross-sectional 8
Wluka AE; Annals of the Rheumatic Diseases; 2001; 11247861106 81 42 39 Cases: 58(6.1); Controls: 56(5.4) 81(100%) Yes No Yes Yes No No No No No Case control 16
Felson DT; Annals of Internal Medicine; 2001; 1128173614 401 401 0 66.8 No No Yes No No No Yes No No Cross-sectional 13
Hill CL; Journal of Rheumatology; 2001; 1140912715 458 433 25 67 (34%) No No Yes No Yes No No No No Case control 13
Kawahara Y; Journal of Computer Assisted Tomography; 2001; 11584226107 35 57(Range: 33–70) 23 No No Yes Yes No No No Yes No Cross-sectional 8
Arokoski JP; Annals of the Rheumatic Diseases; 2002; 11796401108 57 27 30 Cases: 56.2(4.9), (Range: 47–64); Controls: 56.3(4.5), (Range: 47–64) 0 Yes No No No No No No No No Case control 8
Bergin D; Skeletal Radiology; 2002; 11807587109 60 30 30 Cases: 50; Controls: 57 No No Yes No No No No Yes Yes Case control 9
Beuf O; Arthritis & Rheumatism; 2002; 11840441110 46 18 28 Mild OA: 68(9.1); Severe OA: 70(6.3) 17 Yes No No No No No No No No Case control 5
Arokoski MH; Journal of Rheumatology; 2002; 12375331111 57 27 30 Cases: 56.2(4.9), (Range: 47–64); Controls: 56.3(4.5), (Range: 47–64) 0 Yes No No Yes No No No No No Case control 8
Bhattacharyya T; Journal of Bone & Joint Surgery - American Volume; 2003; 1253356516 203 154 49 Cases: 65; Controls: 67 No No Yes No No No No Yes No Case control 9
Link TM; Radiology; 2003; 1256312817 50 50 0 63.7(11.5), (Range: 43–81) 30 No No Yes Yes No No No Yes Yes Cross-sectional 6
Tiderius CJ; Magnetic Resonance in Medicine; 2003; 12594751112 17 50(Range: 35–70) 4 No Yes No Yes No No No No No Cross-sectional 6
Cicuttini FM; Arthritis & Rheumatism; 2003; 1263242128 252 60.2(10) 157962%) Yes No No Yes No Yes No No No Cross-sectional 9
Cicuttini FM; Clinical & Experimental Rheumatology; 2003; 12673893113 81 42 39 ERT: 58(6.1); Controls: 56(5.4) 81(100%) Yes No No Yes No Yes No No No Case control 12
Sowers MF; Osteoarthritis & Cartilage; 2003; 1280147818 120 60 60 no OAK, no Pain: 45(0.8); OAK, no Pain: 46(0.6); No OAK, Pain: 47(0.8); OAK and Pain: 47(0.7) (100%) No No Yes Yes No No Yes No No Case control 11
McGibbon CA; Osteoarthritis & Cartilage; 2003; 1281461160 4 No No Yes Yes No No No No No Other 5
Cicuttini FM; Clinical & Experimental Rheumatology; 2003; 1284605046 157 157 0 62(10) (62%) Yes No No Yes No No No No No Cross-sectional 10
Felson DT; Annals of Internal Medicine; 2003; 1296594151 256 256 0 Followed: 66.2(9.4); Not followed: 67.8(9.6) (38.3%) No No Yes No No No Yes No No Longitudinal
prospective
11
Tarhan S; Clinical Rheumatology; 2003; 14505208114 74 58 16 OA Patients: 57.4(8.5), (Range: 45–75); Healthy controls: 59.1(5.8), (Range: 46–77) 60 Yes No Yes Yes Yes No No No No Case control 8
Hill CL; Arthritis & Rheumatism; 2003; 1455808919 451 427 Knee pain/ROA/Male: 68.3; Knee pain/ROA/Female: 65; No knee pain/ROA/Male: 66.8; No knee pain/ROA/Female: 66.1 No No Yes No No No Yes No No Cross-sectional 10
Kim YJ; Journal of Bone & Joint Surgery - American Volume; 2003; 14563809115 43 30(Range: 11–47); Median = 31 40 No Yes No Yes No No No No No Other 5
Lindsey CT; Osteoarthritis & Cartilage; 2004; 1472386829 74 33 21 Controls: 34.2(12.5); OA1 (KL1/2): 62.7(10.9); OA2(KL3/4): 66.6(11.6) 39 Yes No No Yes No Yes No No No Case control 8
Jones G; Osteoarthritis & Cartilage; 2004; 1472387647 372 186 186 45(Range: 26–61) Yes No No Yes No Yes No No No Case control 9
Raynauld JP; Arthritis & Rheumatism; 2004; 1487249048 32 32 0 62.9(8.2) (74%) Yes No No Yes No No No No No Longitudinal
Prospective
10
Wluka AE; Annals of the Rheumatic Diseases; 2004; 1496296020 132 132 0 63.1(Range: 41–86) 71(54%) Yes No No Yes No No No No No Longitudinal
Prospective
10
Cicuttini F; Rheumatology; 2004; 1496320152 117 117 0 67(10.6) (58%) Yes No No Yes No No No No No Longitudinal
Prospective
12
Peterfy CG; Osteoarthritis & Cartilage; 2004; 14972335116 19 19 0 61(8) 4 No No Yes Yes Yes Yes Yes Yes Yes Other 5
Graichen H; Arthritis & Rheumatism; 2004; 15022323117 21 21 0 70.6(7.7), (Range: 58–86) 17 Yes No No Yes No Yes No No No Cross-sectional 6
Dashti M; Scandinavian Journal of Rheumatology; 2004; 15163109118 174 117 57 61.6(9.5) 123(70.7%) Yes No No Yes No No No No No Case control 11
Arokoski JP; Journal of Clinical Densitometry; 2004; 15181262119 57 27 30 Cases: 56.2(4.9), Range: (47–64); Controls: 56.3(4.5), (Range: 47–64) 0 No Yes No No No No No No No Case control 9
Dunn TC; Radiology; 2004; 15215540120 55 48 7 Healthy: 38(Range: 22–71); Mild OA: 63(Range: 46–81); Severe OA: 67 (Range: 43–88) 30 No Yes No Yes No No No No No Case control 8
Regatte RR; Academic Radiology; 2004; 15217591121 14 6 8 Asymptomatic: 33.5(Range: 22–45); Symptomatic: 45.5(Range: 28–63) 2 No Yes No Yes No No No No No Case control 7
Baysal O; Swiss Medical Weekly; 2004; 15243849122 65 65 0 53.1(7), (Range: 45–75) 65(100%) Yes No Yes Yes No Yes No No No Cross-sectional 7
Lerer DB; Skeletal Radiology; 2004; 15316679123 205 46.5(Range: 15–88); Median = 46 113 No No Yes Yes No No No Yes No Cross-sectional 6
Berthiaume MJ; Annals of the Rheumatic Diseases; 2005; 1537485578 32 Yes No Yes Yes No No No Yes No Longitudinal
Prospective
10
King KB; Magnetic Resonance Imaging; 2004; 15527998124 16 16 0 Males: Median = 58.5, (11.3), (Range: 43–76); Females: Median = 70 (14.4), (Range: 46–88) 8(50%) Yes Yes No Yes No No No No No Cross-sectional 7
Carbone LD; Arthritis & Rheumatism; 2004; 15529367125 818 Non-users: 74.8(2.94); Antiresportive users: 74.8(2.9) 818(100%) No No Yes Yes Yes Yes No No No Cross-sectional 11
Cicuttini F; Journal of Rheumatology; 2004; 15570649126 123 Yes No No Yes No No No No No Longitudinal
Prospective
6
Wluka AE; Annals of the Rheumatic Diseases; 2005; 1560174238 149 68 81 Normal: 57(5.8); OA: 63(10.3) 1499(100%) No No No No No Yes No No No Longitudinal
Prospective
13
Ding C; Osteoarthritis & Cartilage; 2005; 1572788549 372 162 210 No cartilage defects: 43.6(7.1); Any cartilage defect: 47(6.1) (56.5%) Yes No Yes Yes No No No No No Case control 9
Hill CL; Arthritis & Rheumatism; 2005; 1575106445 433 360 73 Cases males: 68.2; Cases females: 65; Control males: 66.8; Control females: 65.8 143 No No Yes No No No No No Yes Case control 12
Kornaat PR; European Radiology; 2005; 15754163127 205 205 0 Median = 60; (Range: 43–77) 163(80%) No No Yes Yes No No Yes Yes No Cross-sectional 8
Zhai G; Arthritis & Rheumatism; 2005; 15818695128 151 23 128 Men: 64(8.1); Women: 62(7.7) 72 Yes No No Yes No No No No No Cross-sectional 8
Cicuttini F; Osteoarthritis & Cartilage; 2005; 1592263450 28 28 0 62.8(9.8) (57%) Yes No No Yes No No No No No Longitudinal
Prospective
10
Blankenbaker DG; Skeletal Radiology; 2005; 15940487129 247 74 173 44 126 No No Yes Yes No No No Yes Yes Cross-sectional 6
Huh YM; Korean Journal of Radiology; 2005; 15968151130 94 73 21 RA group: 49.2 (Range: 37–76), Median = 48; OA group: 57.8 (Range: 40–80), Median = 58 73 No No Yes No Yes No No No No Longitudinal
Retrospective
7
von Eisenhart-Roth; Annals of the Rheumatic Diseases; 2006; 15975965131 26 26 0 70.4(7.6), (Range: 58–86) 20 Yes No No Yes No No No No No Cross-sectional 5
Tan AL; Arthritis & Rheumatism; 2005; 16052535132 58 40 18 Early OA: 56 (Range: 49–69); Chronic OA: 60 (Range: 51–68); Hand OA: 60 (Range: 46–72); 44 No No Yes Yes Yes Yes Yes No Yes Cross-sectional 7
Lo GH; Arthritis & Rheumatism; 2005; 16145676133 268 80 188 No BMLs: 64.8(8.5); Medial BMLs: 68.3(7); Lateral BMLs: 66.6(9.5) (59%) No No Yes No No No Yes No No Cross-sectional 10
Li X; Magnetic Resonance in Medicine; 2005; 16155867134 19 9 10 Cases: Median = 52, (Range: 18–72); Controls: Median = 30, (Range: 22–74) 8 No Yes No Yes No No No No No Case control 7
Rhodes LA; Rheumatology; 2005; 16188949135 35 35 0 Median = 63; (Range: 49–77) 23 No No Yes No Yes No No No No Cross-sectional 9
Williams A; Arthritis & Rheumatism; 2005; 1625502432 31 31 0 67(10.4), 9 (Range: 45–86) 24(77%) No Yes No Yes No No No No No Cross-sectional 9
Loeuille D; Arthritis & Rheumatism; 2005; 16255041136 39 39 0 56.4(12.71) (56.4%) No No Yes No Yes No No No No Cross-sectional 10
Roos EM; Arthritis & Rheumatism; 2005; 16258919137 30 45.8(3.3) 10(33.3%) No Yes No Yes No No No No No Randomized
controlled
trial
17
Hunter DJ; Journal of Rheumatology; 2005; 1626570253 132 162 0 33.5(9.7) (44.2%) No No Yes Yes No Yes No Yes Yes Cross-sectional 8
Nojiri T; Knee Surgery, Sports Traumatology, Arthroscopy; 2006; 1639556433 28 9 21 40.3(Range: 16–74) 17 No Yes No Yes No No No No No Cross-sectional 7
Kimelman T; Invest Radiol; 2006; 16428993138 7 4 3 Healthy controls: 23; OA cases: 56 4 No Yes No Yes No No No No No Other 6
Sengupta M; Osteoarthritis & Cartilage; 2006; 16442316139 217 217 0 67.3(9.1) (30%) No No Yes Yes Yes Yes Yes No No Cross-sectional 7
Hunter DJ; Arthritis & Rheumatism; 2006; 1650893081 257 257 0 66.6(9.2), (Range: 47–93) (41.6%) No No Yes Yes No No No Yes No Longitudinal
Prospective
10
Hunter DJ; Arthritis & Rheumatism; 2006; 1664603783 217 217 0 66.4(9.4) (44%) No No Yes Yes No No Yes No No Longitudinal
Prospective
10
Grainger AJ; European Radiology; 2007; 16685505140 43 43 0 64(Range: 48–75) 19 No No Yes No Yes No No Yes No Cross-sectional 8
Cashman PM; IEEE Transactions on Nanobioscience; 2002; 16689221141 27 10 17 OA patients: (Range: 45–73); Similar age controls: (Range: 50–65); Young healthy controls: (Range: 21–32); 8(29.6%) Yes No No Yes No No No No No Other 6
Torres L; Osteoarthritis & Cartilage; 2006; 1671331021 143 143 0 70(10) (78%) No No Yes Yes Yes Yes Yes Yes Yes Cross-sectional 9
Kornaat PR; Radiology; 2006; 1671446322 205 97 103 60 (Range: 43–77) 163(80%) No No Yes Yes Yes Yes Yes Yes No Cross-sectional 9
Bamac B; Saudi Medical Journal; 2006; 16758050142 46 36 10 Cases: 41.9 (Range: 20–67); Controls: 39.7 (Range: 21–66) 25 No No No No No No No Yes No Case control 8
Boks SS; American Journal of Sports Medicine; 2006; 16861575143 134 136 132 40.8(Range: 18.8–63.8) No No Yes Yes No No No Yes Yes Cross-sectional 7
Koff MF; Osteoarthritis & Cartilage; 2007; 1694931334 113 113 0 56(11), (Range: 33–82) 84 No Yes No Yes No No No No No Cross-sectional 8
Nakamura M; Magnetic Resonance Imaging; 2006; 1707133639 63 51.8 (Range: 40–59) 42 No No Yes No No No No Yes No Cross-sectional 6
Folkesson J; IEEE Transactions on Medical Imaging; 2007; 17243589144 139 56(Range: 22–79) (59%) Yes No No Yes No No No No No Other 7
Li X; Osteoarthritis & Cartilage; 2007; 1730736535 26 10 16 Healthy: 41.3 (Range: 22–74); OA patients: 55.9 (37–72) 11 No Yes Yes Yes No Yes Yes Yes Yes Case control 7
Iwasaki J; Clinical Rheumatology; 2007; 17322963145 26 26 0 63.8(Rang: 49–82) 18 No No No No No No No No No Cross-sectional 5
Dam EB; Osteoarthritis & Cartilage; 2007; 1735313231 139 Evaluation set: 55(Range: 21–78); Scan-rescan set: 61 (Range: 26–75) (54.5%) Yes No No Yes No No No No No Other 9
Tiderius CJ; Magnetic Resonance in Medicine; 2007; 17390362146 18 10 8 Controls: 28(Range: 20–47); Cases: 39 (Range: 25–58) No Yes No Yes No No No No No Case control 6
Baranyay FJ; Seminars in Arthritis & Rheumatism; 2007; 17391738147 297 297 58(5.5) (63%) Yes No No Yes No No Yes No No Cross-sectional 16
Issa SN; Arthritis & Rheumatism; 2007; 1739422554 146 146 0 70 109 No No Yes Yes No Yes Yes Yes No Cross-sectional 8
Hanna F; Menopause; 2007; 17413649148 176 0 176 52.3(6.6), (Range: 40–67) 176(100%) Yes No No Yes No No No No No Cross-sectional 13
Hunter DJ; Annals of the Rheumatic Diseases; 2008; 1747299523 71 67.9(9.3) (28.2%) No No Yes Yes Yes Yes Yes Yes Yes Other 8
Hill CL; Annals of the Rheumatic Diseases; 2007; 1749109624 270 270 0 66.7(9.2) 112 No No Yes Yes Yes No No No No Longitudinal
Prospective
9
Qazi AA; Osteoarthritis & Cartilage; 2007; 17493841149 71 Yes No No Yes No No No No No Cross-sectional 8
Lammentausta E; Osteoarthritis & Cartilage; 2007; 17502160150 14 55(18) 2 No Yes No Yes No Yes No No No Other 5
Guymer E; Osteoarthritis & Cartilage; 2007; 17560134151 176 0 176 52.3(6.6) 176(100%) Yes No Yes Yes No Yes Yes No No Cross-sectional 11
Nishii T; Osteoarthritis & Cartilage; 2008; 17644363152 33 23 10 Volunteers: 34(Range: 23–51); Patients: 40(Range: 22–69) 33(1005) No Yes No Yes No No No No No Case control 8
Janakiramanan N; Journal of Orthopaedic Research; 2008; 1776345155 202 74 128 61(9) (73%) No No Yes Yes No No No No No Cross-sectional 11
Lo GH; Osteoarthritis & Cartilage; 2008; 17825586153 845 170 63.6(8.8) (58%) No No Yes No No No No Yes No Cross-sectional 10
Davies-Tuck M; Osteoarthritis & Cartilage; 2008; 17869546154 100 100 0 63.3(10.2) 61(61%) Yes No No Yes No No No No No Longitudinal
Prospective
11
Qazi AA; Academic Radiology; 2007; 17889338155 159 (Range: 21–81) No No Yes Yes No No No No No Other 8
Folkesson J; Academic Radiology; 2007; 17889339156 71 56(Range: 22–79) (59%) No No No No No No No No No Other 7
Englund M; Arthritis & Rheumatism; 2007; 1805020140 310 102 208 Cases: 62.9(8.3); Controls: 61.2(8.3) 211(68%) No No Yes No No No No Yes No Case control 15
Kamei G; Magnetic Resonance Imaging; 2008; 18083319157 37 27 0 Cartilage defect: 51.6(Range: 42–61); No cartilage defect: 54.5(Range: 45–61) 20 No No Yes Yes No No No Yes No Case control 7
Li W; Journal of Magnetic Resonance Imaging; 2008; 18183573158 29 19 10 OA subjects: 61.7(Range: 40–86); Controls: 31 (Range: 18–40) 19 No Yes No Yes No No No No No Cross-sectional 5
Amin S; Osteoarthritis & Cartilage; 2008; 1820362986 265 265 67(9) (43%) No No Yes Yes No No No Yes Yes Longitudinal
Prospective
11
Taljanovic MS; Skeletal Radiology; 2008; 18274742159 19 19 0 66 8 No Yes No No No No No No No Case control 8
Oda H; Journal of Orthopaedic Science; 2008; 18274849160 161 58.5(Range: 11–85) 98 No No Yes No Yes No No Yes Yes Cross-sectional 8
Hanna FS; Arthritis Research & Therapy; 2008; 18312679161 176 52.3(6.6) (100%) Yes No No Yes No No No No No Cross-sectional 10
Reichenbach S; Osteoarthritis & Cartilage; 2008; 1836741541 964 217 747 63.3 (57%) No No Yes Yes No Yes No No No Cross-sectional 8
Petterson SC; Medicine & Science in Sports & Exercise; 2008; 18379202162 123 123 0 64.9(8.5) 67 No No No No No No No No No Case control 11
Bolbos RI; Osteoarthritis & Cartilage; 2008; 18387828163 32 16 16 Cases: 47.2(11.54), (Range: 29–72); Controls: 36.3(10.54), (Range: 27–56) 14 Yes Yes No Yes No Yes No No No Case control 7
Quaia E; Skeletal Radiology; 2008; 18404267164 35 35 0 42(17), (Range: 22–67) 14 No Yes No Yes No No No No No Other 6
Folkesson J; Magnetic Resonance in Medicine; 2008; 1850684542 245 143 KL0: 48(Range: 21–78); KL1: 62(Range: 37–81); KL2: 67(Range: 47–78); KL3&4: 68(Range: 58–78) No No No Yes No No No No No Other 12
Mills PM; Osteoarthritis & Cartilage; 2008; 18515157165 49 25 24 APMM: 46.8(5.3); Controls: 43.6(6.6) 18(36.7%) Yes No Yes Yes No No No No No Case control 12
Dore D; Osteoarthritis & Cartilage; 2008; 18515160166 50 50 64.5(7.1) 23 Yes No Yes Yes No Yes No No No Cross-sectional 9
Mutimer J; Journal of Hand Surgery; 2008; 18562375167 20 20 0 47 (Range: 26–69) 9 No No Yes Yes No No No No No Cross-sectional 6
Amin S; Journal of Rheumatology; 2008; 18597397168 192 192 69(9) 0. No No Yes Yes No No No No No Cross-sectional 10
Li X; Journal of Magnetic Resonance Imaging; 2008; 18666183169 38 13 25 Healthy: 28.5 (Range: 20–34); Knee OA or injury: 37.4 (Range: 20–66) 10 Yes No No Yes No No Yes No No Other 7
Pelletier JP; Osteoarthritis & Cartilage; 2008; 1867238625 27 1 64.1(9.6) 14 No No Yes Yes Yes Yes Yes Yes No Other 9
Stahl R; European Radiology; 2009; 18709373170 37 17 20 Mild OA: 54(9.98); Healthy control: 33.6(9.44) 19 No Yes Yes Yes No No No No No Case control 10
Brem MH; Acta Radiologica; 2008; 18720084171 23 23 0 55.5(10.3) 8 No No Yes No No No Yes No No Other 6
Lancianese SL; Bone; 2008; 18755303172 4 80(14) 3 No No No No No Yes No No No Cross-sectional 5
Englund M; New England Journal of Medicine; 2008; 1878410026 991 171 62.3(8.6), (Range: 50.1–90.5) 565(57%) No No Yes No No No No Yes No Cross-sectional 10
Mamisch TC; Magnetic Resonance in Medicine; 2008; 18816842173 26 No Yes No Yes No No No No No Cross-sectional 7
Rauscher I; Radiology; 2008; 18936315174 60 37 23 Healthy controls: 34.1(10); Mild OA: 52.5(10); Severe OA: 61.6(11.6) 32 No Yes No Yes No No No Yes No Case control 9
Li W; Journal of Magnetic Resonance Imaging; 2009; 19161210175 31 17 14 OA patients: 61.8(Range: 40–86); Healthy controls: 29.2(Range: 18–40) 21 No Yes No Yes No No No No No Case control 7
Choi JW; Journal of Computer Assisted Tomography; 2009; 19188805176 36 39.7(Range: 8–69) 21 No No Yes Yes No No No Yes No Longitudinal
Retrospective
7
Chen YH; Journal of Computer Assisted Tomography; 2008; 19204464177 96 25 71 OA patients: 56; Non-OA: 46 No No Yes Yes No No No Yes No Case control 8

The analysis included data from 142 manuscripts. The mean Downs criteria score for these manuscripts was 8.3 (range 3–17). What follows below are important excerpts from this data pertaining to different aspects of concurrent validity. The data is further summarized in Table II to discretely identify the associations examined and those where a significant association was found.

Table II.

Summary of Concurrent Validity of MRI in OA

Outcome of interest Number of studies examining this outcome Number of studies finding significant associations (P < .05)
Symptoms 21 studies 13 of 21 (62%)
Radiographic features 43 studies 39 of 43 (90%)
Radiographic joint space 9 studies 9 of 9 (100%)
Alignment 10 studies 9 of 10 (90%)
CT 4 studies 4 of 4 (100%)
Histology/Pathology 5 studies 3 of 5 (60%)
Arthroscopy 7 studies 5 of 7 (71%)

Relation to symptoms

21 studies examined the concurrent relation of MRI findings in OA to symptoms. Of these, 62% demonstrated a statistically significant association, defined as P < 0.05. Bone marrow lesions were found in 272 of 351 (77.5%) persons with painful knees compared with 15 of 50 (30%) persons with no knee pain (P < 0.001). Large lesions were present almost exclusively in persons with knee pain (35.9% vs 2%; P < 0.001). After adjustment for severity of radiographic disease, effusion, age, and sex, lesions and large lesions remained associated with the occurrence of knee pain [odds ratio, 3.31 (95% confidence interval (CI), 1.54–7.41)]. Using the same analytical approach, large lesions were also strongly associated with the presence of pain [odds ratio, 5.78 (CI, 1.04–111.11)]. Among persons with knee pain, bone marrow lesions were not associated with pain severity14.

  • After adjusting for the severity of radiographic OA, there was a difference between those with and without knee pain in prevalence of moderate or larger effusions (P < 0.001) and synovial thickening, independent of effusion (P < 0.001). Among those with small (grade 1) or no knee (grade 0) effusion, those with knee pain had a prevalence of synovial thickening of 73.6% compared to 21.4% of those without knee pain (P < 0.001). There was a significant difference in visual analogue scale (VAS) pain scores in those with synovial thickening compared to those without synovial thickening, after adjustment for radiographic severity, size of effusion, age, sex, and BMI. The mean pain score in those with synovial thickening after adjustment for radiographic severity and size of effusion was 47.2 mm [standard error (SE) 6.0], compared to 28.2 mm (SE 2.8) in those without synovial thickening (P = 0.006)15.

  • A medial or lateral meniscal tear was a very common finding in the asymptomatic subjects (prevalence, 76%) but was more common in the patients with symptomatic osteoarthritis (91%) (P < 0.005). There was no significant difference with regard to the pain or WOMAC score between the patients with and those without a medial or lateral meniscal tear in the osteoarthritic group (P = 0.8 to 0.9 for all comparisons)16.

  • Significant differences between WOMAC scores were found for the grades of cartilage lesions (P < 0.05) but not bone marrow edema pattern, and ligamentous and meniscal lesions17.

  • Bone marrow lesions >1 cm were more frequent (OR = 5.0; 95% CI = 1.4, 10.5) in the painful knee OA group than all other groups. While the frequency of BME lesions was similar in the painless OA and painful OA groups, there were more lesions, >1 cm, in the painful OA group. Full-thickness cartilage defects occurred frequently in painful OA. Women with radiographic OA, full-thickness articular cartilage defects, and adjacent subchondral cortical bone defects were significantly more likely to have painful knee OA than other groups (OR = 3.2; 95% CI = 1.3, 7.6)18.

  • Peripatellar lesions (prepatellar or superficial infrapatellar) were present in 12.1% of the patients with knee pain and ROA, in 20.5% of the patients with ROA and no knee pain, and in 0% of subjects with neither ROA nor knee pain (P = 0.116). However, other periarticular lesions (including bursitis and iliotibial band syndrome) were present in 14.9% of patients with both ROA and knee pain, in only 3.9% of patients with ROA but no knee pain, and in 0% of the group with no knee pain and no ROA (P = 0.004)19.

  • More severe symptoms relating to knee OA (pain, stiffness, and function) are weakly inversely related to tibial cartilage volume. Patients with lower cartilage volume had more severe symptoms of knee OA than those with higher cartilage volume20.

  • The increase in median pain from median quantile regression, adjusting for age and BMI, was significant for bone attrition (1.91, 95% CI 0.68, 3.13), bone marrow lesions (3.72, 95% CI 1.76, 5.68), meniscal tears (1.99, 95% CI 0.60, 3.38), and grade 2 or 3 synovitis/effusion vs grade 0 (9.82, 95% CI 0.38, 19.27). The relationship with pain severity was of borderline significance for osteophytes and cartilage morphology and was not significant for bone cysts or meniscal subluxation. When compared to the pain severity in knees with high scores for both bone attrition and bone marrow lesions (median pain severity 40 mm), knees with high attrition alone (30 mm) were not significantly different, but knees with high bone marrow lesion without high attrition scores (15 mm) were significantly less painful21.

  • A large joint effusion was associated with pain (OR, 9.99; 99% CI: 1.28, 149) and stiffness (OR, 4.67; 99% CI: 1.26, 26.1). The presence of an osteophyte in the patellofemoral compartment (OR, 2.25; 99% CI: 1.06, 4.77) was associated with pain. All other imaging findings, including focal or diffuse cartilaginous abnormalities, subchondral cysts, bone marrow edema, subluxation of the meniscus, meniscal tears, or Baker cysts, were not associated with symptoms22.

  • Maximal bone marrow lesion (BML) size on the Boston Leeds Osteoarthritis Score (BLOKS) scale had a positive linear relation with VAS pain (P for linear trend = 0.04)23.

  • No correlation of baseline synovitis with baseline pain score (r = 0.09, P = 0.17)24.

  • No relation between baseline synovitis score and VAS pain score (r = 0.11, P = 0.60)25.

  • In the group of persons with radiographic evidence of osteoarthritis (Kellgren–Lawrence grade 2 or higher), the prevalence of a meniscal tear was 63% among those with knee pain, aching, or stiffness on most days and 60% among those without these symptoms (P = 0.75); the corresponding prevalences in the group without radiographic evidence of osteoarthritis were 32% and 23% (P = 0.02). The majority of the meniscal tears – 180 of 297 (61%) were in subjects who had not had any pain, aching, or stiffness in the previous month26.

Relation to radiographic features

43 studies examined the concurrent relation of MRI findings in OA to radiographic features. Of these, 90% demonstrated a statistically significant association, defined as P < 0.05.

Relation of quantitative cartilage morphometry measures to radiographic abnormalities

  • Significant differences in lateral and medial femorotibial cartilage thickness were found between those with and without radiographic OA. Significant cartilage thinning could be detected by MRI in patients with OA, even when the joint space was normal radiographically27.

  • For every increase in grade of lateral tibiofemoral osteophytes the lateral tibial cartilage volume was significantly reduced by 255 mm3, after adjustment. There was a reduction of 77 mm3 in medial tibial cartilage volume for every increase in grade of medial tibiofemoral osteophytes, but this finding was only of borderline statistical significance28.

  • Cartilage volume and thickness were less in patients with OA compared to normal controls (P < 0.1)29.

  • Kellgren and Lawrence (KLG)2 participants displayed, on average, thicker cartilage than healthy controls in the medial femorotibial compartment [particularly anterior subregion of the medial tibia (MT) and peripheral (external, internal) subregions of the medial femur], and in the lateral femur. KLG3 participants displayed significantly thinner cartilage than KLG0 participants in the medial weight-bearing femur (central subregion), in the external subregion of the MT, and in the internal subregion of the lateral tibia30.

  • Mean cartilage signal intensity provided a clear separation of healthy from KLG1 (P = 0.0009). Quantification of cartilage homogeneity by entropy was able to clearly 11 separate healthy from OA subjects (P = 0.0003). Furthermo121re, entropy was also able to separate healthy from KL 1 subjects (P = 0.0004)31.

Relation of other MRI measures to radiographic abnormalities

  • Significant difference (P = 0.002) in the average T(1rho) within patellar and femoral cartilage between controls (45.04 ± 2.59 ms) and osteoarthritis patients (53.06 ± 4.60 ms). A significant correlation was found between T(1rho) and T(2); however, the difference of T(2) was not statistically significant between controls and osteoarthritis patients31.

  • Trend toward a lower dGEMRIC index with increasing KLG; the spared compartments of knees with a KLG grade 2 had a higher dGEMRIC index than those of knees with a KLG grade 4 (mean 425 msec vs 371 msec; P < 0.05)32.

  • All cases demonstrating decreased T1 values on dGEMRIC, showed abnormal arthroscopic or direct viewing findings. The diagnosis of damage in articular cartilage was possible in all 16 cases with radiographic KLG 1 on dGEMRIC, while the intensity changes were not found in 10 of 16 cases on Proton density Weighted Image (PDWI)33.

  • No differences of T2 values were found across the stages of OA (P = 0.25), but the factor of BMI did have a significant effect P < 0.0001) on T2 value34.

  • Average T(1rho) and T(2) values were significantly increased in OA patients compared with controls [52.04 ± 2.97 ms vs 45.53 ± 3.28 ms with P = 0.0002 for T(1rho), and 39.63 ± 2.69 ms vs 34.74 ± 2.48 ms with P = 0.001 for T(2)]. Increased T(1rho) and T(2) values were correlated with increased severity in radiographic and MR grading of OA. T(1rho) has a larger range and higher effect size than T(2), 3.7 vs 3.035.

  • Statistically significant correlation between radiography and MR cartilage loss in the medial (r 0.7142, P .0001) and lateral compartments (r = 0.4004, P .0136). Significant correlations also found between radiographic assessment of sclerosis and osteophytes and those found on MRI36.

  • Patients in whom plain radiographs, MRI, and arthroscopy were compared, the plain radiographs and MRI significantly underestimated the extent of cartilage abnormalities37.

  • Presence of synovial thickening was more likely with increasing KLG, from 24.0% in those with KLG 0–78.3% in those with LG 3/4 (P < 0.001)15.

  • Higher KLG was correlated with a higher frequency of meniscal tears (r = 0.26, P < 0.001)16.

  • KLG correlated significantly (P < 0.05) with the grade of cartilage lesions, and a substantially higher percentage of bone marrow and meniscal lesions with higher KLG found on MR images17.

  • Women with osteoarthritis had larger medial and lateral tibial plateau bone area [mean (SD): 1850 (240) mm2 and 1279 (220) mm2, respectively] than healthy women [1670 (200) mm2 and 1050 (130) mm2] (P < 0.001 for both differences). For each increase in grade of osteophyte, an increase in bone area was seen of 146 mm2 in the medial compartment and 102 mm2 in the lateral compartment38.

  • Statistically significant correlations were observed between the medial tibial spur classification on X-ray, the medial meniscal displacement rate on MRI and the medial meniscal signal change classification on MRI39.

  • Meniscal damage was mostly present in knees with OA and demonstrates a relation to KLG40.

  • Bone attrition of the tibiofemoral joint, scored >1, was found in 228 MRIs (23.6%) and in 55 radiographs (5.7%). Moderate to strong correlation between MRIs and radiographs for bone attrition of the tibiofemoral joint (r = 0.50, P < 0.001)41.

  • Surface curvature of articular cartilage for both the fine- and coarse-scale estimates were significantly higher in the OA population compared with the healthy population, with P < 0.001 and P < 0.001, respectively42.

  • The prevalence of meniscal damage was significantly higher among subjects with radiographic evidence of tibiofemoral osteoarthritis (KLG 2 or higher) than among those without such evidence (82% vs 25%, P < 0.001), and the prevalence increased with a higher KLG (P < 0.001 for trend). Among persons with radiographic evidence of severe osteoarthritis (KLG 3 or 4 in their right knee), 95% had meniscal damage26.

Relation to radiographic joint space width

Nine studies examined the concurrent relation of MRI findings in OA to radiographic joint space. Of these, 100% demonstrated a statistically significant association, defined as P < 0.05.

  • Strong correlation between the degree of medial meniscal subluxation and the severity of medial joint space narrowing (JSN) (r = 0.56, P = 0.0001)43.

  • Meniscal extrusion identified in all 32 patients with JSN (KLG 1–4). Definite thinning or loss of articular cartilage was identified in only 15 of the 32 cases. In 17 patients with radiographic JSN (KLG 1–3) and meniscal extrusion, no loss of articular cartilage was observed. A statistically significant correlation (P < 0.001) was observed between KLG and degree of meniscal extrusion and cartilage thinning on MRI44.

  • For each increase in grade of JSN, tibial plateau bone area increased by 160 mm2 in the medial compartment and 131 mm2 in the lateral compartment (significance of regression coefficients all P < 0.001)38.

  • Persons with symptomatic knee OA with ACL rupture had more severe radiologic OA (P < 0.0001) and were more likely to have medial JSN (P < 0.0001) than a control sample45.

  • Compartments of the knee joint without JSN had a higher dGEMRIC index than those with any level of narrowing (mean 408 msec vs 365 msec; P = 0.001). In knees with 1 unnarrowed (spared) and 1 narrowed (diseased) compartment, the dGEM-RIC index was greater in the spared vs the diseased compartment (mean 395 msec vs 369 msec; P = 0.001)32.

  • Grade of JSN as measured on skyline and lateral patellofemoral radiographs was inversely associated with patella cartilage volume. After adjusting for age, gender and body mass index, for every increase in grade of skyline JSN (0–3), the patella cartilage volume was reduced by 411 mm3. For every increase in lateral patellofemoral JSN grade (0–3), the adjusted patella cartilage volume was reduced by 125 mm3. The relationship was stronger for patella cartilage volume and skyline JSN (r = −0.54, P < 0.001) than for lateral patellofemoral JSN (r = −0.16, P = 0.015)46.

  • Grade one medial JSN was associated with substantial reductions in cartilage volume at both the medial and lateral tibial and patellar sites within the knee (adjusted mean difference 11–13%, all P < 0.001)47.

  • Cartilage volume in the medial compartment and the narrowest JSW obtained by radiography at baseline in 31 knee OA patients, revealed that some level of correlation exists between these two measurements (r = 0.46, P < 0.007)48.

  • Knee cartilage defects are inconsistently associated with JSN after adjustment for osteophytes but consistently with knee cartilage volume (beta: −0.27 to −0.70/ml; OR: 0.16–0.56/ml, all P < 0.01 except for OR at lateral tibial cartilage site P = 0.06)49.

  • Moderate, but statistically significant, correlation between JSW and femoral and tibial cartilage volumes in the medial tibiofemoral joint, which was strengthened by adjusting for medial tibial bone size (R = 0.58–0.66, P = 0.001)50.

  • JSN seen on both medial and lateral radiographs of the tibiofemoral joint was inversely associated with the respective tibial cartilage volume. This inverse relationship was strengthened with adjustment for age, sex, body mass index (BMI), and bone size. After adjustment for these confounders, for every increase in JSN grade (0–3), the medial tibial cartilage volume was reduced by 257 mm3 (95% CI 193–321) and the lateral tibial cartilage volume by 396 mm3 (95% CI 283–509). The relationship between mean cartilage volume and radiologic grade of JSN was linear28.

Relation to alignment

10 studies examined the concurrent relation of MRI findings in OA to alignment. Of these, 90% demonstrated a statistically significant association, defined as P < 0.05.

  • Valgus-aligned knees tended to have lower dGEMRIC values laterally, and varus-aligned knees tended to have lower dGEMRIC values medially; as a continuous variable, alignment correlated with the lateral: medial dGEMRIC ratio (Pearson’s R = 0.43, P = 0.02)32.

  • Limbs with varus alignment, especially if marked (≥7 degrees), had a remarkably high prevalence of medial lesions compared with limbs that were neutral or valgus (74.3% vs 16.4%; P < 0.001 for relation between alignment and medial lesions). Conversely, limbs that were neutral or valgus had a much higher prevalence of lateral lesions than limbs that were in the most varus group (29.5% vs 8.6%; P = 0.002 for alignment and lateral lesions)51.

  • Medial tibial and femoral cartilage volumes increased as the angle decreased (i.e., was less varus). Similarly, in the lateral compartment there was an inverse association at baseline between tibial and femoral cartilage volumes and the measured knee angle52.

  • The main univariate determinants of varus alignment in decreasing order of influence were medial bone attrition, medial meniscal degeneration, medial meniscal subluxation, and medial tibiofemoral cartilage loss. Multivariable analysis revealed that medial bone attrition and medial tibiofemoral cartilage loss explained more of the variance in varus malalignment than other variables. The main univariate determinants of valgus malalignment in decreasing order of influence were lateral tibiofemoral cartilage loss, lateral osteophyte score, and lateral meniscal degeneration53.

  • Correlation between medial meniscal displacement rate on MRI and the femorotibial angle (r = 0.398)39.

  • Worsening in the status of each medial lesion cartilage morphology, subarticular bone marrow lesions, meniscal tear, meniscal subluxation, and bone attrition was associated with greater varus malalignment54.

  • For every one degree increase in a valgus direction, there was an associated reduced risk of the presence of cartilage defects in the medial compartment of subjects with knee OA (P = 0.02). Moreover, for every one degree increase in a valgus direction, there was an associated increased risk of the presence of lateral cartilage defects in the OA group (P = 0.006)55.

Relation to CT

Four studies examined the concurrent relation of MRI findings in OA to CT. Of these, 100% demonstrated a statistically significant association, defined as P < 0.05. MR frequently showed tricompartmental cartilage loss when radiography and CT showed only bicompartmental involvement in the medial and patellofemoral compartments. In the lateral compartment, MR showed a higher prevalence of cartilage loss (60%) than radiography (35%) and CT (25%) did. In the medial compartment, CT and MR showed osteophytes in 100% of the knees, whereas radiography showed osteophytes in only 60%. Notably, radiography often failed to show osteophytes in the posterior medial femoral condyle. On MR images, meniscal degeneration or tears were found in all 20 knees studied. Partial and complete tears of the anterior cruciate ligament were found in three and seven patients, respectively. MR is more sensitive than radiography and CT for assessing the extent and severity of osteoarthritic changes and frequently shows tricompartmental disease in patients in whom radiography and CT show only bicompartmental involvement. MR imaging is unique for evaluating meniscal and ligamentous disease related to osteoarthritis36.

  • Strong linear relationship (r = 0.998) between MRI imaging and CT arthrography. The mean absolute volume deviation between magnetic resonance imaging and computed tomography arthrography was 3.3%56.

Relation to histology/pathology

Five studies examined the concurrent relation of MRI findings in OA to histology/pathology. Of these, 60% demonstrated a statistically significant association, defined as P < 0.05. Observed measurements of MRI volume of articular cartilage correlated with actual weight and volume displacement measurements with an accuracy of 82%–99% and linear correlation coefficients of 0.99 (P = 2.5e-15) and 0.99 (P = 4.4e-15)57.

  • The signal behavior of hyaline articular cartilage does not reflect the laminar histologic structure. Osteoarthrosis and cartilage degeneration are visible on MR images as intra-cartilaginous signal changes, superficial erosions, diffuse cartilage thinning, and cartilage ulceration58.

  • Comparison of data on cartilage thickness measurements with MRI with corresponding histological sections in the middle of each sector revealed a very good magnetic resonance/anatomic correlation (r = 0.88)59.

  • Correlation between MRI Noyes grading scores and Mankin grading scores of natural lesions was moderately high (r = 0.7) and statistically significant (P = 0.001)60.

Relation to arthroscopy

Seven studies examined the concurrent relation of MRI findings in OA to arthroscopy. Of these, 71% demonstrated a statistically significant association, defined as P < 0.05.

  • Moderate correlation between imaged cartilage scores and the arthroscopy scores (Pearson correlation coefficient = 0.40)37.

  • Spearman rank linear correlation between arthroscopic and MR cartilage grading was highly significant (P < 0.002) for each of the six articular regions evaluated. The MR and arthroscopic grades were the same in 93 (68%) of 137 joint surfaces, they were the same or differed by one grade in 123 surfaces (90%), and they were the same or differed by one or two grades in 129 surfaces (94%)61.

  • The overall sensitivity and specificity of MR in detecting chondral abnormalities were 60.5% (158/261) and 93.7% (89/95) respectively. MR imaging was more sensitive to the higher grade lesions: 31.8% (34/107) in grade 1; 72.4% (71/98) in grade 2; 93.5% (43/46) in grade 3; and 100% (10/10) in grade 4. The MR and arthroscopic grades were the same in 46.9% (167/356), and differed by no more than 1 grade in 90.2% (321/356) and 2 grades in 99.2% (353/356). The correlation between arthroscopic and MR grading scores was highly significant with a correlation coefficient of 0.705 (P < 0.0001)62.

  • Statistically significant correlation between the SFA-arthroscopic score and the SFA-MR score (r = 0.83) and between the SFA-arthroscopic grade and the SFA-MR grade (weighted kappa = 0.84). The deepest cartilage lesions graded with arthroscopy and MR imaging showed correlation in the medial femoral condyle (weighted kappa = 0.83) and in the medial tibial plateau (weighted kappa = 0.84)63.

  • Magnetic resonance imaging was in agreement with arthroscopy in 81% showing more degeneration but less tears of menisci than arthroscopy. Using a global system for grading the total damage of the knee joint into none, mild, moderate, or severe changes, agreement between arthroscopy and MRI was found in 82%64.

Predictive validity (Table III)

Table III.

Summary table of studies reporting data on predictive validity of MRI in knee OA

Reference: Author, Journal, Year, PMID Whole sample size No. of cases No. of controls Age, yrs, Mean(SD), Range No. (%)of females Quantitative cartilage Compositional techniques Semi-quantitative Cartilage Synovium Bone Bone marrow lesions Meniscus Ligament Study design Score of methodological quality
Boegard TL; Osteoarthritis & Cartilage; 2001; 11467896178 47 Women: Median = 50, (Range: 42–57); Men: Median = 50, (Range: 41–57) 25(53.2%) No No Yes Yes No No No Yes No Longitudinal Prospective 9
Wluka AE; Arthritis & Rheumatism; 2002; 12209510179 123 123 0 63.1(10.6) 71 Yes No No Yes No Yes No No No Longitudinal Prospective 14
Cicuttini FM; Journal of Rheumatology; 2002; 12233892180 21 8 13 Case: 41.3(13.2); Controls: 49.2(17.8) 14(66.7%) Yes No No Yes No No No No No Longitudinal Retrospective 13
Biswal S; Arthritis & Rheumatism; 2002; 1242822876 43 4 39 54.4(Range: 17–65) 21 No No Yes Yes No No Yes Yes Yes Longitudinal Retrospective 8
Cicuttini F; Journal of Rheumatology; 2002; 12465162181 110 110 0 63.2(10.2) 66 Yes No No Yes No No No No No Longitudinal Prospective 12
Pessis E; Osteoarthritis & Cartilage; 2003; 12744942182 20 20 63.9(9) 13 Yes No Yes Yes No Yes Yes No No Longitudinal Prospective 12
Felson DT; Annals of Internal Medicine; 2003; 1296594151 256 156 0 Followed: 66.2(9.4); Not followed: 67.8(9.6) (38.3%) No No Yes No No No Yes No No Longitudinal Prospective 11
Cicuttini FM; Arthritis & Rheumatism; 2004; 1473060477 117 117 63.7(10.2) (58.1%) Yes No No Yes No No No No No Longitudinal Prospective 9
Wluka AE; Annals of the Rheumatic Diseases; 2004; 1496296020 132 132 0 63.1(Range: 41–86) 71(54%) Yes No No Yes No No No No No Longitudinal Prospective 10
Cicuttini F; Rheumatology; 2004; 1496320152 117 117 0 67(10.6) (58%) Yes No No Yes No No No No No Longitudinal Prospective 12
Cicuttini FM; Ann Rheum Dis; 2004; 1511571465 123 123 0 Joint replacement: 64.1(9.3); No joint replacement: 63.1(10.3) 65(52.8%) Yes No No Yes No No No No No Longitudinal Prospective 11
Dashti M; Scandinavian Journal of Rheumatology; 2004; 15163109118 174 117 57 61.6(9.5) 123(70.7%) Yes No No Yes No No No No No Case control 11
Cicuttini FM; Journal of Rheumatology; 2004; 15229959183 102 102 0 63.8(10.1) (63%) Yes No No Yes No No No No No Longitudinal Prospective 10
Berthiaume MJ; Annals of the Rheumatic Diseases; 2005; 1537485578 32 Yes No Yes Yes No No No Yes No Longitudinal Prospective 10
Cicuttini F; Journal of Rheumatology; 2004; 15570649126 123 Yes No No Yes No No No No No Longitudinal Prospective 6
Cubukcu D; Clinical Rheumatology; 2005; 15599642184 40 40 HA group: 52.6(7.16); Saline group: 57.6(2.77) 24(60%) No No Yes Yes No Yes No Yes Yes Randomized controlled trial 15
Ozturk C; Rheumatol Int; 2006;15703953185 47 47 0 HA-only group: 58(7.7); HA&Cortico group: 58.1(10.3) 39(97.5%) No No Yes Yes No No Yes No No Randomized controlled trial 17
Wang Y; Arthritis Res Ther; 2005; 15899054186 126 126 63.6(10.1) 68 No No No No No Yes No No No Longitudinal Prospective 12
Cicuttini F; Osteoarthritis & Cartilage; 2005; 1592263450 28 28 0 62.8(9.8) (57%) Yes No No Yes No No No No No Longitudinal Prospective 10
Wluka AE; Rheumatology; 2005; 1603008466 126 126 0 63.6(10.1) 68(54%) Yes No Yes Yes No Yes No No No Longitudinal Prospective 14
Garnero P; Arthritis & Rheumatism; 2005; 16145678187 377 377 0 62.5(8.1) (76%) No No Yes Yes No No No No No Longitudinal Prospective 11
Wang Y; Rheumatology; 2006; 1618894779 124 124 0 Females: 57.1(5.8); Males: 52.5(13.2) 81(65.3%) No No Yes Yes No Yes No No No Longitudinal Prospective 11
Phan CM; European Radiology; 2006; 1622253368 40 34 6 57.7(15.6), (Range: 28–81) 16 No No Yes Yes No Yes Yes Yes Yes Longitudinal Prospective 7
Hayes CW; Radiology; 2005; 16251398188 117 117 115 No OA, No Pain: 44.6(10.7); OA, No Pain: 16.2(0.8); No OA, Pain: 47(0.7); OA&Pain: 47.1(0.8) (100%) No No Yes Yes Yes Yes Yes Yes Yes Longitudinal Prospective 13
Wang Y; Journal of Rheumatology; 2005; 16265703189 40 0 40 52.3(13) 0 Yes No No Yes No Yes No No No Longitudinal Prospective 11
Ding C; Arthritis & Rheumatism; 2005; 1632033980 325 45.2(6.5) 190 Yes No Yes Yes No No No No No Longitudinal Prospective 10
Bruyere O; Annals of the Rheumatic Diseases; 2006; 16396978190 62 62 0 64.9(10.3) 49 Yes No Yes Yes Yes Yes Yes Yes Yes Longitudinal Prospective 10
Katz JN; Osteoarthritis & Cartilage; 2006; 1641321069 83 61(11), (Range: 45–89) 50(60%) No No Yes Yes Yes Yes Yes Yes No Longitudinal Prospective 9
Raynauld JP; Arthritis Research & Therapy; 2006; 1650711972 110 110 0 62.4(7.5) (64%) Yes No Yes Yes No No Yes Yes No Longitudinal Prospective 11
Hunter DJ; Arthritis & Rheumatism; 2006; 1650893081 257 257 0 66.6(9.2), (Range: 47–93) (41.6%) No No Yes Yes No No No Yes No Longitudinal Prospective 10
Ding C; Archives of Internal Medicine; 2006; 1656760582 325 Decrease defects: 45.4(6.4); Stable defects: 44.2(7.1); Increase defects: 46.1(5.9) (58.1%) No No Yes Yes No No No No No Longitudinal Prospective 14
Brandt KD; Rheumatology; 2006; 16606655191 30 20 10 62 29 No No No No Yes No No No No Other 10
Hunter DJ; Arthritis & Rheumatism; 2006; 1664603783 217 217 0 66.4(9.4) (44%) No No Yes Yes No No Yes No No Longitudinal Prospective 10
Wluka AE; Arthritis Research & Therapy; 2006; 16704746192 105 105 0 All eligible: 62.5 (10.7); MRI at FU: 63.8(10.6); Lost to FU: 61.6(11.3) 59(53%) Yes No No Yes No Yes No No No Longitudinal Prospective 17
Hunter DJ; Osteoarthritis & Cartilage; 2007; 16857393193 127 127 67(9.05) (46.7%) No Yes No Yes No No No No No Cross-sectional 12
Bruyere O; Osteoarthritis & Cartilage; 2007; 1689046173 62 62 0 64.9(10.3) 46 No No Yes Yes Yes Yes Yes Yes Yes Longitudinal Prospective 10
Amin S; Annals of the Rheumatic Diseases; 2007; 17158140194 196 196 0 68(9) 0 No No Yes Yes No No No No No Longitudinal Prospective 13
Nevitt MC; Arthritis & Rheumatism; 2007; 1746912674 80 39 0 73.5(3.1) (63.6%) No No Yes Yes No No No No No Longitudinal Prospective 10
Hill CL; Annals of the Rheumatic Diseases; 2007; 1749109624 270 270 0 66.7(9.2) 112 No No Yes Yes Yes No No No No Longitudinal Prospective 9
Pelletier JP; Arthritis Research & Therapy; 2007; 1767289171 110 110 0 Q1 greatest loss global: 63.7(7.2); Q4 least loss gobal: 61.3(7.5); Q1 greatest loss_medial: 64.1 (7.4); Q1 least loss_medial: 61.6(7.8) (68.3%) No No Yes Yes No No Yes Yes No Longitudinal Prospective 15
Davies-Tuck ML; Osteoarthritis & Cartilage; 2008; 17698376195 117 117 0 63.7(10.2) 68(58%) Yes No Yes Yes No Yes No No No Longitudinal Prospective 14
Raynauld JP; Annals of the Rheumatic Diseases; 2008; 1772833384 107 107 0 62.4(7.5) (64%) Yes No Yes Yes No No No Yes No Longitudinal Retrospective 15
Felson DT; Arthritis & Rheumatism; 2007; 1776342770 330 110 220 Cases: 62.9(8.3); Controls: 61.2(8.4) 211(63.9%) No No Yes No No Yes Yes No No Case control 12
Kornaat PR; European Radiology; 2007; 17823802196 182 71 59(Range: 43–76) 157(80%) No No Yes No No No Yes No No Longitudinal Prospective 8
Hunter DJ; Arthritis Research & Therapy; 2007; 17958892197 160 80 80 67(9) (46%) No No Yes Yes No No No No No Case control 11
Englund M; Arthritis & Rheumatism; 2007; 1805020140 310 102 208 Cases: 62.9(8.3) 211(68.1%) No No Yes No No No No Yes No Case control 15
Davies-Tuck ML; Osteoarthritis & Cartilage; 2008; 1809384785 74 0 74 Meniscal tear: 58.8(6); No meniscal tear: 55.5(4.3) 74(100%) No Yes Yes Yes No Yes No Yes No Longitudinal Prospective 13
Hernandez-Molina G; Arthritis & Rheumatism; 2008; 18163483198 258 258 0 66.6(9.2) (42.6%) No No Yes Yes No No Yes No Yes Longitudinal Prospective 11
Teichtahl AJ; Osteoarthritis & Cartilage; 2009; 18194873199 99 99 0 63 (10) (60%) Yes No No Yes No Yes No No No Longitudinal Prospective 14
Amin S; Osteoarthritis & Cartilage; 2008; 1820362986 265 265 67(9) (43%) No No Yes Yes No No No Yes Yes Longitudinal Prospective 11
Teichtahl AJ; Obesity; 2008; 18239654200 297 297 58(5.5) 186 Yes No Yes Yes No Yes No No No Longitudinal Prospective 14
Blumenkrantz G; Osteoarthritis & Cartilage; 2008; 18337129201 18 8 10 Cases: 55.7(7.3); Controls: 57.6(6.2) 18(100%) No Yes Yes Yes No No No No No Case control 12
Song IH; Annals of the Rheumatic Diseases; 2009; 18375537202 41 41 65(6.7) 26 No No Yes No No No No No Yes Randomized controlled trial 14
Scher C; Skeletal Radiology; 2008; 1846386567 65 65 0 OA-only: 49.3 (Range: 28–75); OA&BME group: 53.5(35–82) No No Yes Yes No No Yes No No Longitudinal Retrospective 10
Sharma L; Arthritis & Rheumatism; 2008; 1851277787 153 153 0 66.4(11) Yes No Yes Yes No No No Yes No Longitudinal Prospective 11
Owman H; Arthritis & Rheumatism; 2008; 18512778203 15 9 7 50(Range: 35–70) No Yes No Yes No No No No No Longitudinal Prospective 10
Madan-Sharma R; Skeletal Radiology; 2008; 1856681375 186 74 112 60.2(Range: 43–76) 150 No No Yes Yes No No Yes Yes No Longitudinal Prospective 11
Amin S; Journal of Rheumatology; 2008; 18597397168 192 192 69(9) No No Yes Yes No No No No No Cross-sectional 10
Pelletier JP; Osteoarthritis & Cartilage; 2008; 1867238625 27 1 64.1(9.6) 14 No No Yes Yes Yes Yes Yes Yes No Other 9
Amin S; Arthritis & Rheumatism; 2009; 19116936204 265 265 0 67(9) No No Yes Yes No No No No No Longitudinal Prospective 16

The analysis included data from 61 manuscripts of which 1 pertains to the hip and the remainder to the knee. The mean Downs criteria score for these manuscripts was 11.5 (range 6–17). What follows below are important excerpts from this data pertaining to different aspects of predictive validity. The data is further summarized in Table IV to discretely identify the associations examined and those where a significant association was found.

Table IV.

Summary of Predictive Validity of MRI in OA

Outcome of interest Number of studies examining this outcome Number of studies finding significant associations (P < .05)
Joint replacement 3 studies 3 of 3 (100%)
Change in symptoms 6 studies 5 of 6 (83%)
Radiographic progression 8 studies 5 of 8 (63%)
MRI progression 19 studies 16 of 19 (84%)

Prediction of joint replacement

Three studies examined the predictive relation of MRI findings to joint replacement. Of these, 100% demonstrated a statistically significant association, defined as P < 0.05.

  • One study investigated the relation of change in quantitative cartilage volume to risk of knee replacement. For every 1% increase in the rate of tibial cartilage loss there was a 20% increase risk of undergoing a knee replacement at four years (95% CI, 10%–30%). Those in the highest tertile of tibial cartilage loss had 7.1 (1.4–36.5) higher odds of undergoing a knee replacement than those in the lowest tertile. Change in bone area also predicted risk of TKR OR 12 (95% CI 1–14)65.

  • Higher total cartilage defect scores (8–15) were associated with a 6.0-fold increased risk of joint replacement over 4 yr compared with those with lower scores (2–7) (95% CI 1.6, 22.3), independently of potential confounders66.

  • A separate smaller study investigated the relation of bone marrow lesions (assessed semi-quantitatively) to need for TKR. Subjects who had a bone marrow lesion were 8.95 times as likely to progress rapidly to a TKA when compared to subjects with no BME (P = 0.016). There was no relation of TKR with meniscal tear or cartilage loss67.

Prediction of change in symptoms

Six studies examined the predictive relation of MRI findings to change in symptoms. Of these, 83% demonstrated a statistically significant association, defined as P < 0.05.

  • Weak associations between worsening of symptoms of OA and increased cartilage loss: pain [r(s) = 0.28, P = 0.002], stiffness [r(s) = 0.17, P = 0.07], and deterioration in function [r(s) = 0.21, P = 0.02]20.

  • Small study did not find a significant relation between changes in WOMAC scores with the amount of cartilage loss and the change in BME (P > 0.05)68.

  • Multivariate analyses of knee pain 1 year following arthroscopic partial meniscectomy demonstrated that medial tibial cartilage damage accounting for 13% of the variability in pain scores69.

  • The BOKS study examined the relationship between longitudinal fluctuations in synovitis with change in pain and cartilage in knee osteoarthritis. Change in summary synovitis score was correlated with the change in pain (r = 0.21, P = 0.0003). An increase of one unit in summary synovitis score resulted in a 3.15-mm increase in VAS pain score (0–100 scale). Effusion change was not associated with pain change. Of the three locations for synovitis, changes in the infrapatellar fat pad were most strongly related to pain change24.

  • A nested case-control study examined if enlarging BMLs are associated with new knee pain. Case knee was defined as absence of knee pain at baseline but presence of knee pain both times at follow-up. Controls were selected randomly from among knees with absence of pain at baseline. Among case knees, 54 of 110 (49.1%) showed an increase in BML score within a compartment, whereas only 59 of 220 control knees (26.8%) showed an increase (P < 0.001 by chi-square test). A BML score increase of at least 2 units was much more common in case knees than in control knees (27.5% vs 8.6%; adjusted odds ratio 3.2, 95% CI 1.5–6.8)70.

  • Increases in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and patient global scores over time are associated with change in cartilage volume of the medial tibial plateau and medial femoral condyle71.

  • Weak association of cartilage volume loss with less knee pain. Medial cartilage volume loss and simultaneous pain change at 24 months (beta coefficient −0.45, P = 0.03) and SF-36 physical components (beta coefficient 0.22, P = 0.04)72.

Prediction of radiographic progression

Eight studies examined the predictive relation of MRI findings to radiographic progression. Of these, 63% demonstrated a statistically significant association, defined as P < 0.05.

  • No significant association between reduction in JSW and cartilage volume (R < 0.13). Trend toward a significant association between change in medial tibiofemoral cartilage volume and joint replacement at 4 years (OR = 9.0, P = 0.07) but not change in medial tibiofemoral JSW (OR = 1.1, P = 0.92)50.

  • No correlation between the cartilage volume loss changes (either by using absolute or percentage values) and the JSW changes at 24 months (global cartilage volume, r = 0.11; medial compartment cartilage volume, r = 0.19)72.

  • Medial femorotibial JSN after 1 year, assessed by radiography, was significantly correlated with a loss of medial tibial cartilage volume (r = 0.25, P = 0.046) and medial tibial cartilage thickness (r = 0.28, P = 0.025), over the same period73.

  • Higher baseline composite cartilage scores and increases in composite cartilage scores during follow-up were moderately correlated with greater joint space loss (r = 0.33, P = 0.0002 and r = 0.26, P = 0.01, respectively)74.

  • Loss in JSW correlated with the loss of cartilage volume on the central weight-bearing area of the condyles and the plateaus as well as on the medial compartment71.

  • Study examined the relation of MRI features at baseline with radiographically determined JSN in the medial compartment of the knee after 2 years in a group of patients with symptomatic osteoarthritis. A significant association was observed for meniscal tears (RR 3.57; CI 1.08–10.0) and meniscal subluxation (RR 2.73; CI 1.20–5.41), between KL < 2 and meniscal subluxation (RR 11.3; CI 2.49–29.49) and KL ≥ 2 and meniscus tears (RR 8.91; CI 1.13–22.84) and radiographic JSN 2 years later75.

Prediction of MRI progression

Nineteen studies examined the predictive relation of MRI findings to MRI progression. Of these, 84% demonstrated a statistically significant association, defined as P < 0.05.

  • Patients who had sustained meniscal tears showed a higher average rate of progression of cartilage loss (22%) than that seen in those who had intact menisci (14.9%) (P ≤ 0.018). Anterior cruciate ligament (ACL) tears had a borderline significant influence P ≤ 0.06) on the progression of cartilage pathology. Lesions located in the central region of the medial compartment were more likely to progress to more advanced cartilage pathology (progression rate 28%; P ≤ 0.003) than lesions in the anterior (19%; P ≤ 0.564) and posterior (17%; P ≤ 0.957) regions or lesions located in the lateral compartment (average progression rate 15%; P ≤ 0.707). Lesions located in the anterior region of the lateral compartment showed less progression of cartilage degradation (6%; P ≤ 0.001). No specific grade of lesion identified at baseline had a predilection for more rapid cartilage loss (P ≤ 0.93)76.

  • There was a significant correlation between the degree of loss of tibial cartilage and the degree of loss of femoral cartilage, in both tibiofemoral joints (r = 0.81, P < 0.001 at the medial tibiofemoral joint; r = 0.71, P < 0.001 at the lateral tibiofemoral joint)77.

  • A highly significant difference in global cartilage volume loss was observed between severe medial meniscal tear and absence of tear [mean (SD), −10.1 (2.1)% v −5.1 (2.4)%, P = 0.002]. An even greater difference was found between the medial meniscal changes and medial compartment cartilage volume loss [−14.3 (3.0)% in the presence of severe tear v −6.3 (2.7)% in the absence of tear; P < 0.0001]. Similarly, a major difference was found between the presence of a medial meniscal extrusion and loss of medial compartment cartilage volume [−15.4 (4.1)% in the presence of extrusion v −4.5 (1.7)% with no extrusion; P < 0.001]78.

  • Annual patellar cartilage loss was highest in those with defects compared with no defects (5.5% vs 3.2%, P = 0.01). Tibial cartilage loss was not associated with defects in the medial (4.6% vs 5.8%, P = 0.42) or lateral (4.7% vs 6.5%, P = 0.21) tibial cartilages66.

  • Baseline cartilage defect score was negatively associated with the progression of cartilage defects in each compartment (all P < 0.001)79.

  • Baseline cartilage defect scores at the medial tibia, lateral tibia, and patella had a dose-response association with the annual rate of change in knee cartilage volume at the corresponding site (beta = −1.3% to −1.2% per grade; P < 0.05 for all comparisons). In addition, an increase in knee cartilage defect score (change of more than or equal to 1) was associated with higher rates of knee cartilage volume loss at all sites (beta = −1.9% to −1.7% per year; P < 0.01 for all comparisons). Furthermore, a decrease in the knee cartilage defect score (change of less than or equal to −1) was associated with an increase in knee cartilage volume at all sites (beta = 1.0%–2.7% per year; P < 0.05 for all comparisons)80.

  • Predictors of fast progression included the presence of severe meniscal extrusion (P = 0.001), severe medial tear (P = 0.005), medial and/or lateral bone edema (P = 0.03), high body mass index (P < 0.05, fast vs slow), weight (P < 0.05, fast vs slow) and age (P < 0.05 fast vs slow)72.

  • In the medial tibiofemoral joint, each measure of meniscal malposition was associated with an increased risk of cartilage loss. There was also a strong association between meniscal damage and cartilage loss81.

  • A worsening in cartilage defect score was significantly associated with tibiofemoral osteophytes (OR, 6.22 and 6.04 per grade), tibial bone area (OR, 1.24 and 2.07 per square centimeter), and cartilage volume (OR, 2.91 and 1.71 per ml in the medial tibiofemoral and patellar compartments)82.

  • Knee compartments with a higher baseline BML score had greater cartilage loss. An increase in BMLs was strongly associated with further worsening of the cartilage score83.

  • Despite cartilage loss occurring in over 50% of knees, synovitis was not associated with cartilage loss in either tibiofemoral or patellofemoral compartment24.

  • Significant correlations were seen between the loss of cartilage volume and edema size change in the medial condyle (−0.40, P = 0.0001) and the medial tibial plateau (−0.23, P = 0.03), and the changes in cyst size in the medial condyle (−0.29, P = 0.01). A multivariate analysis showed that the edema size change was strongly and independently associated with medial cartilage volume loss (−0.31, P = 0.0004)84.

  • Medial meniscal tear was associated with 103 mm(2) greater tibial plateau bone area within the medial (95% CI 6.2, 200.3; P = 0.04) and a lateral meniscal tear with a 120 mm(2) greater area within the lateral compartment (95% CI 45.5, 195.2; P = 0.002)85.

  • Adjusting for age, body mass index, gender and baseline cartilage scores, complete ACL tear increased the risk for cartilage loss at the medial tibiofemoral compartment (OR: 1.8, 95% CI: 1.1, 3.2). However, following adjustment for the presence of medial meniscal tears, no increased risk for cartilage loss was further seen (OR: 1.1, 95% CI: 0.6, 1.8)86.

  • Medial meniscal damage predicted medial tibial cartilage volume loss and tibial and femoral denuded bone increase, while varus malalignment predicted medial tibial cartilage volume and thickness loss and tibial and femoral denuded bone increase. Lateral meniscal damage predicted every lateral outcome87.

  • A positive correlation was found between the global severity of synovitis at baseline and the loss of cartilage volume at 60 days (P < 0.03)25.

Discussion

The performance of MRI as an outcome measure in OA has been extensively studied providing strong support for both its concurrent and predictive validity.

As outlined in this review numerous studies have examined the relation of MRI to related constructs such as symptom measures, plain radiography, histology and arthroscopy. These studies demonstrate the following:

  1. Inconsistent relation of structural features to symptoms with 13 of 21 studies finding a significant relation. Generally strong relation of large bone marrow lesions, moderate relation of synovitis and effusion and weak relation of cartilage volume/thickness to presence of pain. No relation of meniscal tears to presence of pain.

  2. In general there was an inconsistent relation of cartilage volume and thickness and compositional measures to presence of radiographic OA. Higher frequency of meniscal tears, synovitis, increased bone area, increased bone attrition/curvature in persons with radiographic OA. Radiographic change insensitive to early changes found on MRI. 39 of 43 studies found significant associations between MRI and radiographic features.

  3. There was a strong relation of meniscal subluxation and increased subchondral bone area to reduced radiographic joint space. Inconsistent (but generally moderate) relation of reduced cartilage volume and thickness to reduced radiographic joint space. Nine of nine studies found significant associations between MRI and radiographic joint space.

  4. In general there was a strong correlation of cartilage volume measures to histologic findings. Three of five studies found significant relation of MRI to histology/pathology.

  5. Moderate to strong relation of arthroscopic findings to cartilage and meniscal findings on MRI with five of seven studies finding a significant association

  6. Strong relation of CT arthrography to MRI cartilage volume with all four studies examining this relation finding a significant association.

An important obstacle to biomarker validation and qualification is the adequate delineation of a gold standard. Unlike other diseases where surrogate endpoints exist, OA does not have a clear gold standard clinical endpoint and further is a remarkably heterogeneous disease. Therefore, the ‘clinical endpoint’ is more difficult to establish. A number of experts in the field have advocated that joint replacement be the clinical outcome of interest but due to constraints over comorbidities, insurance status and a number of other factors that influence determining if a person receives a joint replacement, alternate suggestions have been recommended including the use of virtual TKR (vTKR)88. This is a composite endpoint that includes domains of pain, physical function and joint structure on X-rays89. At this point it remains to be validated and as a consequence the constituent literature in this review does not include this endpoint to establish the predictive validity of MRI.

This work may be susceptible to publication bias as there was no effort made to search either clinical trial registries or meeting abstracts for potential unpublished studies that might tend to invalidate the MRI biomarkers examined.

The literature on the predictive validity of MRI in OA demonstrated the following:

  1. Quantitative cartilage volume change and presence of cartilage defects or bone marrow lesions are potential predictors of TKR. Three of three studies found a significant relation.

  2. Inconsistent but generally weak relation of cartilage loss to symptom change. Moderate relation of BML change to incident symptoms and pain change. Weak relation of change in synovitis to change in pain. Five of six studies found significant association between MRI and change in symptoms.

  3. At best a weak relation between change in cartilage thickness and change in joint space. Five of eight studies found a significant relation.

  4. Presence of meniscal damage, cartilage defects and BMLs predicts MRI progression. 16 of 19 studies found a significant relation.

Some MRI biomarkers correlate with some other biomarkers. Moreover in a limited number of studies some MRI biomarkers correlate with clinical endpoints and/or predict clinical outcomes Future research should be directed toward improving the predictive validity of current structural measures as they relate to important clinical outcomes so their role as surrogate outcomes can be substantiated. In addition, studies to improve the precision of assessment of structural features more closely related to symptom change such as BMLs and synovitis are warranted.

Acknowledgments

Role of funding source

The OARSI FDA OA Initiative received financial support from the following professional organization:

American College of Rheumatology

Additionally the OARSI FDA OA Initiative received financial support from the following companies:

Amgen

ArthroLab

AstraZeneca

Bayer Healthcare

Chondrometrics

CombinatoRx

Cypress BioScience

DePuy Mitek

Expanscience 4QImaging

Genevrier/IBSA

Genzyme

King (Alpharma) Merck

Merck Serono NicOx

Pfizer

Rottapharm

Smith & Nephew Wyeth

While individuals from pharmaceutical, biotechnology and device companies actively participated in on-going working group discussions, due to the conflict of interest policy enacted by OARSI, these individuals were not allowed to vote on the final recommendations made by OARSI to the Food and Drug Administration.

We recognize the invaluable support of Valorie Thompson for administrative and editorial support and OARSI for their invaluable support of this activity. This analysis and literature review was undertaken to facilitate discussions and development of recommendations by the Assessment of Structural Change Working group for the OARSI FDA Initiative. The members of the working group were: Philip Conaghan, MB, BS, PhD (Chair), David Hunter, MBBS, PhD, Jeffrey Duryea, PhD, Garry Gold, MD, Steven Mazzuca, PhD, Jean Francis Maillefert, MD, Timothy Mosher, MD, Hollis Potter, MD, David Felson, MD, Ali Guermazi, MD, Helen Keen, MD, Gayle Lester, PhD, Wayne Tsuji, MD, John Randle, PhD, Felix Eckstein, MD, Erika Schneider, PhD, Elena Losina, PhD, Sarah Kingsbury, PhD, William Reichman, PhD, Jean Pierre Pelletier, MD, Saara Totterman, MD, PhD, Rose Maciewicz, PhD, Bernard Dardzinski, PhD, Mona Wahba, MD, Marie Pierre Hellio Le Graverand-Gastineau, MD, PhD, DSc, Elisabeth Morris, DVM, Jeffrey Kraines, MD, Lucio Rovati, MD, Don Dreher, MD, PhD, James Huckle, PhD, Mary-Ann Preston, PhD, Brooks Story, PhD.

Footnotes

Author contributions

DJH conceived and designed the study, drafted the manuscript and takes responsibility for the integrity of the work as a whole, from inception to finished article. EL and WZ were also involved in the design of the study. All authors contributed to acquisition of the data. All authors critically revised the manuscript and gave final approval of the article for submission.

The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Conflict of interest statement

David Hunter receives research or institutional support from DonJoy, NIH, and Stryker.

Other authors declared no conflict of interest

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